{"start":"2006-10-09T00:00:00Z","dailyTotals":[17,11,3,6,2,2,1,0,1,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,56,32,69,35,64,39,37,38,29,43,42,41,51,33,61,48,32,64,46,21,29,40,36,47,47,50,34,39,47,29,56,48,39,21,17,44,48,58,52,55,32,28,62,59,62,48,51,38,32,54,75,59,49,54,41,19,49,77,67,64,63,76,35,54,59,68,51,61,33,55,63,62,74,76,66,55,39,61,75,75,70,51,36,31,70,70,46,43,51,22,39,53,58,41,51,56,25,30,22,40,46,45,37,8,43,30,51,49,33,32,37,30,38,46,52,46,49,27,28,40,56,65,39,45,13,27,37,44,51,52,30,17,21,31,41,35,38,44,27,29,35,50,50,39,45,25,22,42,46,56,64,41,27,26,54,56,53,61,53,23,37,77,67,62,76,66,59,28,69,59,88,69,56,25,38,49,73,90,65,71,36,37,76,83,71,61,81,41,30,82,81,65,82,77,42,33,49,75,102,85,75,47,54,67,102,81,73,66,41,30,81,93,73,65,55,45,36,99,65,78,61,82,45,34,68,68,97,73,80,63,56,62,75,83,70,66,40,49,83,112,102,111,100,43,36,77,87,76,75,63,44,44,63,70,68,90,76,28,37,71,101,100,80,63,57,34,79,93,62,71,70,44,54,63,58,60,44,47,37,30,61,79,72,65,67,34,34,90,78,68,77,68,43,34,71,79,109,69,80,51,40,75,86,58,54,46,51,29,58,31,46,68,55,35,34,34,44,48,74,53,46,50,74,61,62,76,76,63,47,76,107,93,106,120,65,61,101,119,127,136,99,60,58,115,147,122,99,134,79,65,107,127,102,142,171,63,57,114,120,139,141,98,61,77,112,143,146,131,131,100,89,112,141,138,114,114,80,72,116,109,120,119,123,67,81,111,186,157,175,149,84,72,127,153,156,153,153,93,92,136,176,185,162,137,114,111,173,155,146,145,176,67,107,149,162,170,154,150,92,83,148,162,159,167,144,68,65,171,165,148,194,178,77,98,128,157,142,172,177,92,85,148,144,174,133,147,68,77,186,181,186,193,192,82,95,152,174,157,162,155,82,94,119,170,186,209,171,97,108,177,153,168,201,179,98,74,179,203,176,177,141,98,75,146,191,175,186,177,87,79,184,194,173,222,193,83,93,164,199,184,169,156,92,134,202,210,184,246,189,108,118,209,200,173,216,174,93,96,178,194,182,194,202,120,116,192,211,212,196,188,108,99,178,198,176,174,183,132,107,160,177,184,178,139,88,87,183,197,210,233,153,108,107,210,246,186,212,168,95,82,132,196,193,200,201,141,114,176,232,201,194,121,99,84,191,200,206,225,184,116,116,244,202,212,187,195,127,101,235,229,245,203,175,124,115,210,187,222,222,206,129,88,213,228,226,226,211,128,90,182,221,205,230,209,113,102,217,195,192,196,189,98,93,172,216,190,190,208,117,120,219,212,209,211,203,109,84,176,208,197,192,215,124,94,209,227,186,116,116,105,118,186,220,219,207,219,117,94,203,237,191,203,180,107,93,188,214,188,200,177,113,70,169,183,134,70,111,105,86,205,198,176,105,150,129,115,248,253,209,219,222,148,116,222,235,237,222,248,130,114,186,229,226,228,244,130,123,185,281,250,290,240,143,147,215,283,245,266,220,120,120,236,254,236,292,225,139,109,221,257,210,246,225,109,111,235,229,251,242,201,143,126,243,267,262,282,232,108,104,235,269,310,302,229,124,121,242,262,252,266,224,128,109,249,253,268,272,216,131,132,260,251,249,234,247,120,129,254,247,223,242,184,108,105,215,246,273,255,250,135,140,237,290,261,251,246,164,129,264,285,261,300,232,138,121,263,261,270,273,236,144,127,241,237,243,275,239,119,114,269,269,269,278,224,151,108,179,264,254,277,267,162,124,275,250,273,216,268,132,132,225,233,300,279,237,141,119,239,265,270,262,226,128,105,273,264,251,290,255,146,126,233,285,274,270,184,120,116,262,290,247,267,265,144,122,269,301,317,319,288,173,128,255,277,250,281,300,179,152,311,295,322,287,270,159,174,294,280,293,344,255,192,168,293,293,349,305,292,140,160,327,322,324,413,321,153,136,318,328,307,307,299,152,156,276,303,314,337,286,137,117,222,288,338,317,283,157,175,293,329,331,307,300,162,114,316,323,328,309,310,185,144,288,321,326,294,255,202,156,324,366,341,296,301,148,153,301,345,303,329,281,171,164,326,351,352,317,265,167,159,296,337,360,325,271,165,156,305,346,338,329,311,176,161,298,330,328,388,308,188,143,336,368,334,362,330,193,151,334,333,305,207,205,150,157,308,357,349,361,302,205,173,313,345,317,305,315,170,152,317,353,384,371,339,161,161,330,322,320,193,97,125,138,267,254,270,241,156,177,187,355,337,359,350,352,199,199,318,380,385,364,342,202,193,310,406,394,387,354,227,172,393,422,427,430,397,216,225,341,420,428,448,428,232,194,399,446,421,455,414,223,168,353,427,400,425,378,205,202,449,418,412,383,377,229,201,412,424,463,449,373,206,170,437,439,411,386,348,227,179,372,395,399,379,348,177,164,383,396,377,387,370,211,180,385,366,413,400,299,202,195,339,398,382,402,355,230,195,433,397,412,395,422,237,211,396,436,423,409,423,236,211,439,496,442,461,380,224,202,413,457,465,437,372,228,234,449,454,459,442,411,233,211,421,463,526,434,415,241,215,391,457,423,413,364,214,228,293,413,466,440,431,222,204,418,449,444,475,395,193,213,413,396,448,455,388,192,206,339,400,429,348,397,210,207,419,446,441,443,362,198,181,347,415,364,455,410,250,205,424,438,461,445,414,235,210,434,461,412,426,404,226,187,439,483,446,494,439,234,233,442,456,443,435,425,243,197,444,482,475,443,463,241,231,447,453,431,452,455,267,249,457,520,463,480,381,223,228,438,496,490,479,433,255,210,321,442,500,471,412,231,238,489,472,511,465,460,273,232,489,517,507,526,477,246,256,535,563,549,537,526,302,236,557,554,578,491,497,271,266,494,500,561,490,452,241,275,509,522,549,518,488,283,282,539,595,579,582,516,318,283,532,584,566,555,485,320,291,529,585,539,512,539,306,254,570,630,623,593,557,323,265,553,540,503,381,360,292,272,509,617,621,638,538,363,332,555,650,650,638,528,338,259,601,585,663,572,526,287,295,533,577,524,459,281,196,240,401,426,505,465,356,249,313,530,621,636,671,602,357,331,545,577,555,485,543,314,314,472,647,626,604,567,362,308,597,647,652,587,576,348,280,620,653,640,673,579,295,274,587,649,607,654,626,403,336,620,653,727,665,584,347,312,614,605,642,635,574,373,284,605,733,634,655,623,348,331,617,671,652,686,612,361,320,691,689,711,710,639,362,327,655,739,718,687,623,379,337,734,690,693,732,711,326,295,617,692,675,681,614,321,298,668,759,635,660,591,349,290,596,647,700,675,520,307,272,583,694,683,716,634,363,294,592,620,664,630,539,312,347,639,696,704,614,607,331,314,615,675,717,607,623,345,293,625,694,723,666,652,314,293,472,691,776,681,632,366,296,658,744,663,645,637,360,316,642,689,697,657,600,346,315,714,722,760,752,649,362,339,661,725,690,677,623,332,291,488,636,767,739,623,388,284,705,701,716,678,656,381,309,770,783,781,728,780,424,351,838,787,745,827,696,359,334,746,791,824,815,777,463,374,799,817,849,847,711,372,341,746,827,765,748,634,424,361,787,834,877,840,770,499,398,794,838,800,845,836,468,408,646,913,916,861,802,483,423,857,966,909,936,863,523,405,904,951,993,908,876,565,479,943,1019,947,955,886,528,451,885,895,896,857,892,586,534,896,989,927,812,712,430,351,802,998,999,898,818,513,428,933,879,823,967,887,540,539,1012,956,1016,1023,883,596,535,954,1021,974,981,878,554,494,951,1111,1049,1010,1023,602,509,902,1019,866,684,690,496,433,973,1187,1051,1043,1018,650,545,1027,911,910,911,805,423,381,797,803,831,823,753,439,360,839,807,812,764,670,432,281,490,682,712,717,697,430,314,637,892,904,906,855,488,352,873,888,826,920,861,423,442,787,807,1028,956,847,564,445,834,858,810,802,743,463,377,792,866,911,794,772,495,367,775,853,930,871,780,430,402,775,818,835,892,774,411,403,732,859,872,851,757,450,438,831,819,948,862,771,497,427,865,813,808,894,780,470,450,845,900,939,932,833,501,429,960,985,967,1015,878,499,460,981,1045,980,1059,906,583,516,911,922,893,894,731,516,408,888,978,963,796,827,535,450,972,986,981,1003,826,519,427,871,1008,1020,953,812,450,370,834,840,939,944,795,520,422,833,921,790,842,807,507,373,922,1019,944,949,864,506,452,911,1022,1009,924,811,500,416,680,943,995,896,763,450,398,815,868,828,832,782,437,373,836,903,887,830,777,430,330,829,879,794,827,786,438,398,799,918,861,804,701,438,445,844,894,711,778,790,455,372,792,995,917,885,802,422,386,831,898,929,912,772,439,336,846,895,868,928,795,428,366,849,919,964,861,826,428,380,880,909,901,762,661,301,248,643,738,734,759,642,316,298,711,793,703,774,733,376,267,693,766,796,709,662,312,291,488,713,730,734,668,379,324,737,783,748,757,725,352,319,712,762,746,731,633,360,361,703,695,720,743,632,348,296,664,755,790,681,646,385,309,665,754,663,677,630,332,347,698,758,701,670,623,357,327,692,732,776,713,649,332,325,729,732,661,660,699,366,383,737,795,709,746,706,383,358,662,791,788,721,631,354,358,683,738,752,504,491,337,385,785,822,833,826,748,422,393,756,814,836,854,690,384,408,772,826,761,821,701,305,368,755,767,710,751,647,340,332,422,319,470,552,559,402,399,520,387,702,773,750,428,411,789,831,746,763,643,415,404,784,840,816,774,686,443,401,660,861,831,862,801,475,434,886,816,868,817,880,431,467,825,863,888,809,777,424,435,812,854,803,870,775,465,453,638,925,922,862,750,478,433,788,882,946,826,787,449,435,803,883,785,816,796,429,452,697,895,863,874,788,453,445,874,964,903,908,698,446,415,817,819,849,794,683,417,358,904,749,886,844,779,423,390,811,856,854,811,723,412,373,749,880,894,861,651,365,395,793,881,775,845,749,417,428,846,874,787,839,653,386,328,768,882,813,869,696,367,381,798,911,880,811,698,362,410,818,892,865,782,757,362,359,553,873,883,816,746,392,381,804,829,848,878,886,502,477,871,940,935,857,766,381,390,789,823,902,879,764,414,501,797,837,834,816,725,409,390,810,972,837,578,551,404,423,739,904,839,807,689,377,408,780,800,793,796,723,412,421,745,818,872,820,711,390,345,768,824,781,831,722,372,376,759,797,875,783,797,376,346,757,858,849,798,766,434,349,792,847,866,799,740,395,371,716,848,818,807,684,364,361,559,798,845,872,716,388,406,771,829,841,826,754,378,373,718,927,869,774,728,399,395,773,838,855,914,784,371,364,711,802,848,864,700,411,388,790,821,802,726,776,448,393,761,875,787,829,712,431,408,853,908,865,803,785,457,385,774,880,764,832,650,413,388,885,921,861,911,754,446,455,796,1024,984,883,739,410,456,924,943,853,879,758,364,406,901,888,761,569,507,383,435,838,914,863,886,810,415,380,806,846,887,876,737,413,438,764,880,822,836,749,392,337,555,470,320,455,515,378,426,642,555,441,740,728,473,124,0,1096,914,881,769,417,398,778,888,882,827,745,405,403,675,928,914,800,787,415,451,825,857,846,896,753,444,467,821,915,961,815,743,434,462,814,921,908,819,712,379,437,723,781,870,850,737,426,439,851,858,912,881,748,432,384,795,867,908,918,799,435,400,783,881,892,844,772,455,426,795,903,882,818,727,511,493,888,915,945,978,829,427,467,884,1022,896,904,760,414,407,758,911,865,870,717,360,404,766,762,769,809,574,410,358,679,823,855,823,770,395,430,835,815,809,799,756,394,372,793,847,793,752,754,381,401,790,813,752,838,726,344,350,757,791,769,708,631,323,350,509,734,741,741,676,439,349,773,774,747,815,672,298,314,735,776,791,775,653,299,325,695,739,758,747,642,386,356,719,801,834,683,672,347,328,721,754,761,741,573,352,305,766,749,742,787,708,319,324,673,795,785,777,650,349,372,702,779,725,715,684,366,313,726,801,851,785,708,340,342,681,721,782,722,657,286,344,634,712,715,703,663,342,302,659,727,772,743,623,349,328,666,839,697,734,679,415,363,498,735,813,791,680,332,363,741,765,852,788,656,387,350,722,847,774,824,664,374,388,784,790,800,811,724,364,333,720,853,822,721,653,349,322,713,799,807,815,632,370,365,687,873,820,760,667,329,327,722,768,745,841,666,370,362,763,902,862,814,699,370,383,799,852,750,825,710,342,385,834,897,826,822,688,385,357,795,871,851,753,717,325,377,732,786,699,530,476,299,374,793,848,809,853,674,377,422,870,878,823,776,697,355,346,815,812,764,782,741,401,319,634,665,509,297,344,375,427,567,657,519,352,545,434,422,846,863,795,788,768,423,367,765,907,928,866,780,462,400,708,887,879,831,761,404,438,830,882,878,925,731,426,402,808,929,852,878,734,417,480,867,922,849,839,780,415,378,718,816,859,864,744,398,402,821,968,966,922,882,472,493,856,943,878,881,751,457,449,877,928,920,917,802,483,454,833,951,899,943,734,455,473,902,939,899,828,779,456,409,867,964,966,836,733,412,377,767,929,1063,964,809,442,416,843,960,908,907,726,440,468,851,917,965,906,807,401,424,871,972,989,830,796,426,404,794,917,971,927,778,380,392,865,917,900,876,793,380,436,806,1007,948,848,756,382,374,563,917,994,926,796,390,460,896,999,895,908,697,443,395,883,934,882,797,775,419,386,848,927,903,840,742,398,397,834,913,891,831,691,391,423,808,898,871,854,624,363,423,864,934,972,938,791,433,408,783,969,846,882,789,370,423,867,924,893,896,788,400,402,814,950,937,930,771,433,427,833,928,863,823,724,408,390,758,864,850,839,714,443,410,875,878,850,874,694,427,467,804,883,853,811,799,424,436,830,925,920,891,776,377,446,623,926,855,866,885,448,411,909,940,931,863,807,448,383,923,924,928,929,781,435,439,858,937,989,1012,880,463,429,882,1030,1028,979,817,440,425,822,982,963,955,868,472,425,942,976,998,1038,883,488,567,856,1016,998,986,789,483,431,891,1071,950,968,858,520,444,890,1028,915,931,788,421,395,874,975,995,971,847,461,471,787,942,821,642,566,413,456,888,1013,978,952,886,446,439,869,969,943,964,846,512,468,868,946,848,974,748,434,411,753,834,685,506,343,369,380,615,746,671,521,481,457,499,837,888,861,897,827,518,456,846,950,957,975,869,517,497,849,1012,930,926,881,563,514,941,1031,1027,1040,952,607,568,1045,1120,978,943,884,540,478,838,1065,1054,1049,970,641,488,784,971,1049,1030,955,562,553,1021,1161,1089,1099,840,454,516,941,1052,902,965,879,520,519,924,971,1030,982,927,466,434,948,1032,920,971,878,471,458,864,1019,1011,957,742,481,431,882,1010,978,976,952,419,474,899,1036,982,1007,877,526,479,969,1049,998,933,911,478,471,932,989,925,944,834,503,515,871,1003,1074,971,860,571,476,881,1071,984,879,804,478,474,897,1012,996,957,804,553,502,919,1002,996,949,857,518,480,898,1041,942,984,849,423,486,625,921,1085,1000,883,472,452,860,910,987,920,849,452,467,841,876,944,869,790,529,460,940,976,938,950,760,457,440,891,954,955,938,783,433,386,619,864,904,932,829,527,475,985,946,1018,949,842,469,430,847,931,942,883,802,445,492,889,929,888,853,761,450,467,899,1012,935,889,806,446,470,906,860,965,945,797,453,485,806,899,934,954,802,452,495,885,975,921,929,858,491,465,872,950,964,939,785,448,454,635,956,979,954,863,469,485,878,948,1128,892,849,474,492,969,1070,991,960,825,528,459,921,885,935,972,806,536,500,913,968,1010,984,871,483,483,818,978,974,1011,887,515,467,907,1017,983,1051,897,542,475,933,1084,1104,992,882,504,500,983,1035,1045,1048,919,542,527,932,994,810,961,911,525,503,918,1103,1086,1034,930,575,570,1007,1071,957,720,676,497,532,961,1054,1104,1121,1014,557,506,985,1082,1005,1051,899,491,505,960,1058,1100,1039,920,553,475,935,1040,995,1025,747,451,422,593,812,867,769,733,495,440,706,948,1029,1089,890,584,565,1002,1080,977,1052,941,539,578,886,1113,1040,1037,919,520,558,920,1104,1142,1021,1008,530,552,945,1130,1028,971,878,528,549,984,1096,1077,1084,881,561,552,1013,1100,1047,1078,910,625,598,914,1123,1057,1096,976,589,595,1013,1126,1107,1004,934,629,613,962,1000,1103,1172,1004,579,618,1038,1136,1147,1043,962,653,601,1043,1149,1081,1128,953,523,524,1111,1169,1104,1011,1046,578,511,1001,1019,1004,969,936,562,540,1008,988,1021,1010,829,533,477,821,1053,1022,1024,906,519,495,969,1074,1023,983,895,525,456,830,961,1048,1060,858,508,475,958,988,989,996,885,512,450,893,1045,1054,925,980,499,491,931,1013,989,962,828,517,456,730,974,1010,1029,775,516,441,902,1002,980,926,879,470,464,916,929,987,959,866,487,466,975,1038,1136,1011,863,487,466,953,1010,1030,970,852,488,480,743,692,869,890,817,498,484,952,999,1094,1061,876,551,474,1001,1033,1003,1130,830,479,467,946,972,1022,929,898,561,499,905,923,1047,980,863,488,441,919,1038,933,1051,884,481,442,929,912,948,948,894,525,465,872,922,948,1018,855,483,545,816,960,1027,968,879,500,490,742,913,967,1027,863,514,509,959,945,999,970,939,566,566,1036,1065,1014,981,905,533,544,1011,1093,1044,1000,807,499,469,879,976,962,942,837,509,509,849,979,993,1045,949,530,528,956,952,931,946,842,488,487,1015,1061,1029,981,979,519,470,875,1006,911,965,856,514,525,909,962,1026,980,836,506,493,902,978,1026,977,778,503,517,857,948,891,696,667,447,523,909,1019,1006,967,868,501,486,953,970,1012,899,796,507,534,916,993,938,982,833,493,484,842,977,933,824,747,496,409,380,545,764,721,702,516,472,473,896,926,921,923,532,573,983,994,940,973,893,566,476,792,978,1030,1060,843,530,500,953,1033,1085,1017,855,586,544,993,1058,985,1055,849,586,538,827,996,927,895,902,585,565,921,956,923,911,838,495,529,791,949,946,995,891,556,549,952,1066,1047,1009,894,538,526,877,981,968,870,852,497,531,932,989,875,911,859,488,486,989,1079,1119,1033,843,534,480,985,1076,1093,978,806,516,586,809,986,922,942,862,504,467,932,922,988,966,914,549,532,1033,1022,973,998,950,501,494,971,1103,1102,1017,863,541,464,953,934,1044,1042,847,488,477,919,1019,976,939,902,486,423,936,1136,919,1012,798,512,493,962,946,1061,967,915,573,433,669,932,955,959,918,608,465,886,949,997,931,871,450,493,878,936,876,913,847,488,446,869,917,1056,937,849,541,499,913,1011,968,876,832,464,438,885,882,685,828,804,455,442,838,1010,926,915,839,484,429,883,899,939,930,843,446,476,820,948,983,909,865,528,549,863,954,932,906,771,474,446,816,1005,961,968,844,506,479,933,945,1005,986,836,510,445,920,980,941,893,779,420,486,891,925,965,905,838,484,395,688,873,939,905,809,448,468,899,975,927,947,744,491,463,943,908,878,911,868,479,443,900,959,973,816,777,503,443,897,907,869,880,795,467,445,906,896,884,971,809,513,475,1044,974,1026,944,859,468,497,911,976,927,908,829,514,456,936,922,877,872,852,489,466,877,918,756,883,812,481,507,831,957,938,960,808,512,499,878,874,905,663,609,458,542,911,1085,1051,969,913,567,492,921,984,966,1001,853,492,531,934,987,904,993,791,503,509,866,907,951,905,774,436,440,532,407,553,729,733,495,547,520,511,844,808,826,546,498,830,951,924,916,820,465,481,889,866,912,906,865,558,548,781,879,973,941,828,521,486,905,870,968,923,881,624,533,920,966,952,925,841,538,523,887,1002,942,900,826,583,510,788,925,927,908,837,577,535,874,890,894,953,818,510,556,820,973,902,948,861,500,601,928,960,994,888,834,454,517,887,1020,936,843,837,515,478,868,862,908,1000,820,564,553,952,985,938,917,842,485,502,939,900,966,981,845,522,490,828,833,957,898,744,464,505,859,982,992,943,886,521,511,923,933,924,963,870,530,519,827,971,932,842,801,518,491,893,972,936,978,862,489,486,810,891,998,921,845,542,523,643,925,943,921,830,553,563,940,934,930,937,928,543,512,833,923,949,949,793,496,481,855,1019,909,866,816,477,545,845,865,964,869,815,480,487,865,913,913,673,720,490,501,889,957,894,863,839,558,513,815,927,972,808,810,561,513,858,922,942,898,841,505,486,881,994,879,844,813,528,513,856,927,1041,1003,850,545,535,869,946,980,932,833,468,520,892,927,949,988,878,516,493,884,929,933,942,781,503,481,764,963,956,939,783,561,519,925,987,978,987,917,614,546,882,985,996,944,849,532,487,963,1038,988,959,823,524,518,926,973,942,909,807,532,509,941,899,921,965,938,570,570,856,977,935,967,869,593,576,974,967,915,982,911,607,519,896,980,952,919,903,533,528,914,1002,1007,1011,866,571,561,854,1018,973,977,889,561,561,869,953,920,933,834,531,499,951,980,916,739,724,485,602,941,1024,1004,949,879,547,551,884,977,905,951,901,505,549,931,1087,1026,1050,888,559,579,781,689,463,676,670,578,551,885,790,657,999,954,768,735,1085,1215,1193,1133,1024,732,732,1053,1185,1200,1181,1082,668,678,1011,1113,1173,1191,1070,737,705,1089,1316,1307,1251,1243,789,739,1117,1225,1152,1179,1104,749,736,1150,1183,1186,1132,1057,722,688,962,1128,1203,1092,1021,745,675,1137,1156,1198,1147,1040,684,687,1168,1196,1140,1186,1001,685,691,1097,1159,1185,1226,1079,789,815,1196,1253,1243,1283,1218,857,852,1264,1212,1327,1309,1153,912,865,1284,1401,1341,1375,1254,910,837,1183,1329,1229,1263,1065,829,820,1156,1273,1281,1295,1177,858,780,1184,1303,1275,1270,1171,821,905,1294,1283,1303,1297,1216,879,883,1335,1389,1401,1359,1222,844,869,1266,1361,1351,1415,1207,901,866,1296,1515,1412,1373,1303,897,853,1073,1407,1364,1430,1234,804,756,1144,1162,1214,1314,1158,754,833,1193,1275,1313,1324,1119,798,846,1288,1342,1402,1390,1060,837,794,1225,1339,1357,1259,1170,808,745,1243,1344,1194,1138,1019,678,766,1196,1277,1305,1235,1030,692,699,1209,1213,1299,1213,1063,856,785,1263,1242,1303,1262,1067,786,736,1183,1220,1267,1224,1062,748,798,1160,1257,1242,1247,1115,746,727,1188,1198,1203,1168,1116,725,759,1126,1206,1168,1113,1067,746,723,1124,1173,1209,1141,1164,777,662,1066,1198,1213,1149,1019,753,732,1067,1110,1194,1124,1129,708,695,1162,1187,1225,1135,1046,660,659,1137,1258,1197,1149,1027,701,682,984,1090,1089,1104,1001,684,718,1091,1140,1121,1122,1027,754,696,1104,1111,1150,1218,1055,669,683,1165,1231,1178,1187,1035,734,707,1123,1164,1261,1234,1148,756,729,1182,1049,876,1011,885,658,643,1130,1176,1142,1222,1119,690,664,1218,1270,1265,1271,1104,758,745,1178,1214,1167,988,921,739,680,1215,1326,1224,1268,1126,734,744,1209,1402,1278,1248,1160,803,809,1245,1303,1334,1303,1163,780,731,1101,1175,1103,837,595,672,772,984,1018,963,835,711,762,786,1145,1221,1054,1044,1020,890,893,1323,1373,1323,1315,1267,800,836,1128,1230,1145,1192,1109,793,750,1194,1228,1335,1265,1156,774,829,1221,1334,1249,1248,1181,816,849,1244,1354,1274,1234,1031,734,747,1030,1152,1231,1241,1138,835,750,1165,1175,1201,1170,1044,779,776,1148,1293,1246,1181,1087,767,786,1113,1239,1127,1255,1084,809,768,1035,1259,1165,1110,1114,752,741,1178,1220,1153,1211,1067,734,682,1124,1187,1172,1157,1015,735,708,994,987,1170,1107,1110,753,725,1088,1226,1140,1186,1014,766,693,1154,1199,1138,1256,1008,774,791,1134,1193,1082,1108,1042,742,689,1108,1187,1187,1225,1012,772,706,1065,1141,1150,1160,1045,714,675,1103,1203,1131,1111,1072,703,679,1054,1153,1158,1144,1060,647,672,973,1116,1121,1135,1118,786,680,1114,1276,1062,1111,1024,672,624,1066,1152,1146,1098,934,704,614,1015,1195,1211,1127,981,662,685,1017,1120,1073,1076,969,646,622,846,1019,1015,1049,933,636,621,965,1022,1048,1009,931,653,647,1004,991,1033,1064,937,604,643,1020,1068,1078,1059,958,677,635,984,1067,1054,992,948,650,637,985,1072,1022,1052,895,611,691,986,1047,1042,1064,992,734,685,982,1110,1049,1029,1022,616,667,994,1037,1041,1089,924,632,653,880,1008,1089,1060,1038,660,667,1083,1113,1103,1072,1058,695,634,958,1126,1044,1139,957,562,581,986,1072,1035,1008,1063,678,662,1032,1018,1116,1098,865,647,664,1008,1127,1107,1066,958,709,599,952,1090,1053,1102,1020,672,667,1032,1096,1075,1032,961,643,615,1015,1038,1005,1017,1003,587,637,931,1046,1054,929,995,686,697,967,1093,1160,1131,1068,717,598,993,1031,950,768,733,596,591,970,1095,1182,1070,1025,696,636,1015,1116,1147,1056,938,639,687,957,1117,1020,1032,959,649,653,756,797,826,687,544,414,443,559,614,684,657,559,523,579,744,877,926,878,873,631,631,856,905,930,914,839,616,569,821,940,953,1050,907,587,608,891,993,979,949,916,630,588,871,951,921,919,816,613,577,865,902,898,874,843,585,610,795,877,888,839,828,557,517,669,811,888,807,723,611,691,944,972,993,854,907,600,619,880,959,986,956,854,589,587,806,884,934,894,889,602,523,796,833,827,826,718,533,537,697,818,867,847,797,541,540,764,888,782,849,774,530,522,744,851,840,707,685,549,508,727,862,865,792,722,539,555,823,795,828,899,770,538,560,758,825,880,805,740,551,528,840,838,873,835,810,573,583,842,875,887,830,814,525,567,866,895,822,797,734,568,506,728,839,921,890,789,522,583,769,819,915,854,797,550,559,767,882,909,836,807,545,485,802,878,834,929,776,514,479,794,879,909,870,891,556,492,607,758,880,787,440,638,532,847,828,870,930,819,523,543,784,888,891,861,754,510,546,779,898,933,822,839,562,530,913,847,907,877,740,579,575,811,850,826,849,805,477,540,822,816,816,797,826,470,463,740,831,831,877,829,553,532,789,798,902,860,863,558,549,565,954,846,866,783,571,507,889,932,889,799,824,540,516,783,849,906,804,805,540,511,844,876,860,875,782,591,586,756,876,852,849,759,500,555,713,927,823,907,803,624,562,756,855,820,959,797,596,539,853,859,936,927,859,581,564,796,898,859,872,905,676,615,878,882,841,921,901,643,664,957,1052,1005,988,836,600,695,918,972,917,763,675,575,684,996,1031,1181,993,967,630,637,981,966,928,914,817,590,615,837,974,923,1009,956,617,588,847,956,939,918,776,532,435,602,669,741,706,679,566,528,669,853,890,928,807,702,663,864,1028,935,951,906,643,622,834,906,942,948,859,680,618,893,946,916,982,878,602,627,958,997,953,934,913,685,604,842,917,894,924,811,673,666,835,835,874,847,870,599,626,749,943,882,971,827,581,599,876,968,914,907,814,580,560,923,947,920,1003,948,694,695,854,955,922,993,961,697,703,887,938,966,923,913,659,663,871,854,922,969,926,668,624,910,926,894,896,864,640,614,775,938,993,913,856,646,628,852,966,931,968,938,613,581,888,930,943,862,856,638,582,896,949,1002,940,814,589,565,830,945,889,931,910,583,588,867,954,956,924,830,605,622,815,930,991,960,860,587,579,707,878,922,938,895,669,585,886,931,965,937,874,592,590,831,1017,961,983,897,683,607,807,912,913,936,870,513,551,902,950,927,964,871,659,574,733,713,875,904,816,603,564,861,992,892,901,861,617,610,926,947,916,955,814,544,584,850,942,910,913,897,671,658,821,961,893,888,822,564,639,862,958,961,915,898,554,695,848,886,910,889,921,623,656,903,941,917,890,821,608,579,832,1008,976,917,840,632,623,703,959,1003,981,878,597,635,926,992,942,936,873,610,592,885,1008,959,905,861,635,622,949,967,928,1031,876,642,652,924,950,990,1023,869,588,582,754,888,938,908,802,604,584,857,935,925,966,822,654,551,906,939,901,876,837,573,568,837,888,965,876,849,592,635,757,977,964,947,885,627,593,848,933,931,970,830,648,638,790,1043,891,774,746,614,599,878,951,968,1004,891,572,675,868,946,923,938,848,651,593,847,934,968,924,815,626,567,870,958,872,878,773,624,520,500,593,695,736,691,616,535,596,812,812,897,867,689,632,949,1084,978,1015,936,704,733,858,1059,989,972,961,719,728,957,1025,1038,1000,967,714,719,980,1046,1040,944,954,684,710,921,1035,945,1002,869,667,626,842,953,915,968,823,684,696,834,985,1051,1095,920,645,661,947,1014,1023,1021,941,627,633,910,965,1021,984,898,637,591,868,931,1027,926,895,651,596,852,904,946,968,832,615,552,901,945,943,923,750,631,569,906,947,951,938,846,578,595,829,927,893,954,882,630,590,788,919,929,909,892,580,604,843,897,925,995,591,571,642,926,936,878,945,821,571,619,870,925,840,881,818,548,586,906,970,973,964,878,603,563,863,994,966,958,854,538,583,730,884,927,863,808,574,551,844,979,978,951,921,638,599,810,855,950,915,783,584,553,784,946,810,833,764,603,580,819,888,875,850,713,575,560,810,841,791,702,616,576,563,800,826,808,828,808,583,518,699,866,807,769,733,559,527,770,834,813,853,754,539,532,782,835,904,856,758,618,531,768,872,795,892,837,563,523,797,890,860,814,854,541,583,834,813,831,851,741,590,581,801,933,878,842,884,610,579,699,903,903,977,778,566,543,815,867,760,881,791,563,592,778,932,944,841,821,556,561,854,977,942,869,774,547,625,863,836,869,901,761,568,554,813,902,850,826,808,521,525,745,860,806,852,803,574,595,810,917,875,881,814,547,537,837,847,842,850,828,531,567,845,767,620,749,767,582,534,783,869,886,811,766,546,552,818,838,823,915,807,572,548,805,840,794,661,638,541,565,723,902,887,778,799,564,550,839,857,893,904,793,681,524,832,814,864,850,745,521,579,686,581,443,569,637,551,529,722,617,543,695,756,634,638,820,844,824,839,798,572,612,931,894,917,871,866,622,657,804,890,921,877,867,575,573,811,951,886,916,883,596,596,847,968,894,899,908,632,628,849,890,868,868,826,559,584,766,803,870,799,775,595,603,841,986,916,904,783,554,589,827,837,929,855,902,579,664,879,864,867,882,811,579,650,916,947,886,937,911,613,618,825,925,902,875,880,572,594,835,1005,913,864,859,586,527,826,889,888,783,787,573,572,879,950,961,895,744,611,535,773,808,908,824,824,617,564,808,831,872,871,754,613,565,799,865,849,873,817,591,583,839,926,881,975,867,579,595,854,980,927,908,762,587,549,642,853,972,903,804,619,547,769,879,903,808,778,542,570,835,888,879,852,742,565,552,795,914,884,775,849,566,560,884,882,946,891,811,549,605,867,890,941,830,707,517,540,833,943,922,933,786,566,602,865,830,869,873,835,600,568,890,890,818,962,824,572,570,783,839,890,888,773,609,601,931,921,926,919,801,610,601,832,922,897,892,818,524,586,850,888,910,889,884,618,617,856,922,903,895,834,534,521,678,917,902,913,868,640,626,844,996,957,835,785,639,600,896,889,877,954,840,628,543,872,946,919,980,876,589,606,855,941,949,888,858,611,613,873,933,899,929,783,599,582,786,928,928,907,824,597,635,837,940,1012,963,850,606,644,961,973,1007,904,842,603,560,918,936,950,983,892,602,611,898,888,1022,977,875,626,562,878,965,991,958,855,590,621,946,955,881,698,681,599,626,980,1010,944,1061,954,630,622,917,1050,994,1001,880,599,625,983,1086,904,958,919,659,688,927,881,673,527,666,674,637,832,871,754,727,828,688,776,1049,1097,1089,1069,1054,732,723,938,1062,1060,1078,969,759,772,983,1093,1077,1126,982,741,763,1065,1192,1160,1169,1075,827,810,1141,1227,1112,1086,1092,766,807,1150,1209,1180,1236,1109,754,799,1141,1294,1289,1261,1151,813,881,1282,1379,1290,1302,1154,891,851,1189,1225,1246,1255,1114,868,889,1242,1137,1166,1182,1057,862,859,913,1248,1167,1081,1118,697,743,1056,1227,1129,1096,991,685,719,1034,1177,1167,1042,927,673,673,953,1074,1010,1069,1017,671,704,999,1168,1162,1082,1008,660,693,960,1089,1038,1083,881,653,668,1003,1057,1110,1038,807,669,653,950,1186,1051,319],"results":[{"id":13405229,"title":"Deep Learning with PyTorch – An Unofficial Startup Guide","url":"https://iamtrask.github.io/2017/01/15/pytorch-tutorial/","rank":-7.994748098554717,"score":84,"time":"2017-01-15T17:52:03Z"},{"id":13446901,"title":"PyTorch, Dynamic Computational Graphs and Modular Deep Learning","url":"https://medium.com/intuitionmachine/pytorch-dynamic-computational-graphs-and-modular-deep-learning-7e7f89f18d1#.pz8kg46xp","rank":-7.994748098554717,"score":1,"time":"2017-01-20T20:52:46Z"},{"id":13472664,"title":"How is PyTorch different from Tensorflow?","url":"https://medium.com/@debarko/how-is-pytorch-different-from-tensorflow-2c90f44747d6#.1pyjhm1q7","rank":-8.701773124615425,"score":3,"time":"2017-01-24T16:23:18Z"},{"id":13608934,"title":"Simple examples to introduce PyTorch","url":"https://github.com/jcjohnson/pytorch-examples","rank":-9.104350122886538,"score":2,"time":"2017-02-09T17:40:24Z"},{"id":13636401,"title":"Practical PyTorch tutorials, neural networks for natural language tasks","url":"https://github.com/spro/practical-pytorch","rank":-7.682638287284367,"score":2,"time":"2017-02-13T16:19:35Z"},{"id":13688054,"title":"Generative Adversarial Networks (GANs) in 50 Lines of Code (PyTorch)","url":"https://medium.com/@devnag/generative-adversarial-networks-gans-in-50-lines-of-code-pytorch-e81b79659e3f#.ypcz7jnof","rank":-7.393981997272879,"score":4,"time":"2017-02-20T15:31:32Z"},{"id":13729930,"title":"Pytorch Implementation of Hierarchical Attention Networks for Classification","url":"https://github.com/EdGENetworks/attention-networks-for-classification","rank":-7.994748098554717,"score":2,"time":"2017-02-25T03:46:44Z"},{"id":13802433,"title":"Practical Pytorch","url":"https://github.com/spro/practical-pytorch","rank":-10.571596455451935,"score":3,"time":"2017-03-06T13:17:55Z"},{"id":13848976,"title":"Tutorial for researchers to learn deep learning with PyTorch","url":"https://github.com/yunjey/pytorch-tutorial","rank":-7.682638287284367,"score":3,"time":"2017-03-12T04:32:29Z"},{"id":13882149,"title":"Deep learning for NLP in pytorch","url":"https://github.com/rguthrie3/DeepLearningForNLPInPytorch/blob/master/README.md","rank":-8.701773124615425,"score":1,"time":"2017-03-16T03:08:06Z"},{"id":13893015,"title":"PyTorch tutorial for NLP","url":"https://github.com/rguthrie3/DeepLearningForNLPInPytorch/blob/master/README.md","rank":-9.54598349169516,"score":2,"time":"2017-03-17T11:01:35Z"},{"id":13918318,"title":"Adversarial Autoencoders with Pytorch","url":"https://blog.paperspace.com/adversarial-autoencoders-with-pytorch/","rank":-9.54598349169516,"score":11,"time":"2017-03-20T22:48:16Z"},{"id":13952936,"title":"The Incredible Pytorch","url":"https://github.com/ritchieng/the-incredible-pytorch","rank":-10.032646621485735,"score":1,"time":"2017-03-24T23:02:24Z"},{"id":13969505,"title":"Adversarial Autoencoders with Pytorch","url":"https://blog.paperspace.com/adversarial-autoencoders-with-pytorch/","rank":-9.54598349169516,"score":3,"time":"2017-03-27T17:03:27Z"},{"id":14044318,"title":"[P] Draw Like Bob Ross (With Pytorch)","url":"https://kendricktan.github.io/draw-like-bob-ross-with-pytorch.html#draw-like-bob-ross-with-pytorch","rank":-8.333290894816093,"score":1,"time":"2017-04-05T18:22:21Z"},{"id":14090229,"title":"Recursive Neural Networks with PyTorch","url":"https://devblogs.nvidia.com/parallelforall/recursive-neural-networks-pytorch/","rank":-9.104350122886538,"score":2,"time":"2017-04-11T17:20:28Z"},{"id":14094302,"title":"Recursive neural networks with Pytorch","url":"https://devblogs.nvidia.com/parallelforall/recursive-neural-networks-pytorch/","rank":-9.104350122886538,"score":5,"time":"2017-04-12T02:42:12Z"},{"id":14108416,"title":"The Incredible PyTorch: Curated list of tutorials, projects, libraries, etc.","url":"https://github.com/ritchieng/the-incredible-pytorch","rank":-7.393981997272879,"score":4,"time":"2017-04-13T16:25:38Z"},{"id":14141427,"title":"Image-to-image translation in PyTorch","url":"https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix","rank":-8.701773124615425,"score":244,"time":"2017-04-18T18:22:20Z"},{"id":14189108,"title":"Realtime Machine Learning with PyTorch and Filestack (YC Summer 2012)","url":"https://blog.filestack.com/working-with-filestack/realtime-machine-learning-pytorch/","rank":-7.393981997272879,"score":3,"time":"2017-04-24T22:42:50Z"},{"id":14203401,"title":"Realtime Machine Learning with PyTorch and Filestack","url":"https://blog.filestack.com/tutorials/realtime-machine-learning-pytorch/","rank":-8.333290894816093,"score":3,"time":"2017-04-26T14:47:17Z"},{"id":14224630,"title":"PyTorch-Style-Transfer","url":"https://github.com/zhanghang1989/PyTorch-Style-Transfer","rank":-10.032646621485735,"score":3,"time":"2017-04-29T02:03:42Z"},{"id":14253551,"title":"Recursive Neural Networks with PyTorch","url":"https://devblogs.nvidia.com/parallelforall/recursive-neural-networks-pytorch/","rank":-9.104350122886538,"score":2,"time":"2017-05-03T06:44:29Z"},{"id":14544545,"title":"Practical PyTorch: Playing GridWorld with Reinforcement Learning","url":"https://github.com/spro/practical-pytorch/blob/master/reinforce-gridworld/reinforce-gridworld.ipynb","rank":-8.333290894816093,"score":3,"time":"2017-06-13T13:29:29Z"},{"id":14596109,"title":"Matrix Factorization in PyTorch","url":"http://blog.ethanrosenthal.com/2017/06/20/matrix-factorization-in-pytorch/","rank":-9.54598349169516,"score":3,"time":"2017-06-20T16:41:46Z"},{"id":14644006,"title":"PyTorch vs. TensorFlow\u200A–\u200Aspotting the difference","url":"https://medium.com/@dubovikov.kirill/pytorch-vs-tensorflow-spotting-the-difference-25c75777377b","rank":-8.701773124615425,"score":3,"time":"2017-06-27T10:40:49Z"},{"id":14653464,"title":"Show HN: Recurrent Highway Network Using PyTorch (Jupyter Notebook)","url":"https://gist.github.com/a-rodin/d4f2ab5d7eb9d9887b26f28144e4ffdf","rank":-7.682638287284367,"score":1,"time":"2017-06-28T12:22:48Z"},{"id":14757940,"title":"Show HN: A series of intermediate NLP-centered PyTorch tutorials","url":"https://github.com/spro/practical-pytorch/","rank":-7.393981997272879,"score":7,"time":"2017-07-13T00:43:13Z"},{"id":14819277,"title":"Spotlight: deep learning recommender models in PyTorch","url":"https://github.com/maciejkula/spotlight","rank":-8.333290894816093,"score":2,"time":"2017-07-21T10:11:12Z"},{"id":14860592,"title":"DrQA PyTorch code is open source","url":"https://www.facebook.com/yann.lecun/posts/10154638078947143","rank":-8.701773124615425,"score":1,"time":"2017-07-26T21:35:47Z"},{"id":14942088,"title":"Pytorch 0.2.0","url":"https://github.com/pytorch/pytorch/releases/tag/v0.2.0","rank":-9.54598349169516,"score":2,"time":"2017-08-06T16:56:02Z"},{"id":14946585,"title":"PyTorch v0.2.0 released","url":"https://github.com/pytorch/pytorch/releases/tag/v0.2.0","rank":-9.104350122886538,"score":150,"time":"2017-08-07T11:00:02Z"},{"id":14947967,"title":"PyTorch Examples in Vision, Text, Reinforcement Learning","url":"https://github.com/pytorch/examples","rank":-8.333290894816093,"score":3,"time":"2017-08-07T15:01:42Z"},{"id":14950322,"title":"Why AI and machine learning researchers are beginning to embrace PyTorch","url":"https://www.oreilly.com/ideas/why-ai-and-machine-learning-researchers-are-beginning-to-embrace-pytorch","rank":-7.126231333808056,"score":54,"time":"2017-08-07T19:12:42Z"},{"id":14981640,"title":"Deep Learning Framework- TensorFLow and PyTorch","url":"http://www.techleer.com/articles/253-deep-learning-framework-tensorflow-and-pytorch/","rank":-8.701773124615425,"score":4,"time":"2017-08-10T16:53:27Z"},{"id":14981773,"title":"PyTorch vs. TensorFlow\u200A–\u200Aspotting the difference","url":"https://medium.com/towards-data-science/pytorch-vs-tensorflow-spotting-the-difference-25c75777377b","rank":-8.701773124615425,"score":3,"time":"2017-08-10T17:06:15Z"},{"id":15013076,"title":"PyTorch vs. TensorFlow\u200A–\u200Aspotting the difference","url":"https://medium.com/towards-data-science/pytorch-vs-tensorflow-spotting-the-difference-25c75777377b","rank":-8.701773124615425,"score":1,"time":"2017-08-14T21:25:18Z"},{"id":15043518,"title":"PyTorch vs. TensorFlow\u200A–\u200Aspotting the difference","url":"https://medium.com/towards-data-science/pytorch-vs-tensorflow-spotting-the-difference-25c75777377b","rank":-8.701773124615425,"score":2,"time":"2017-08-18T04:18:21Z"},{"id":15052457,"title":"PyTorch or TensorFlow?","url":"https://awni.github.io/pytorch-tensorflow/","rank":-10.032646621485735,"score":3,"time":"2017-08-19T09:08:36Z"},{"id":15067870,"title":"Example-driven PyTorch tutorial for ML researchers","url":"https://github.com/soravux/pytorch_tutorial","rank":-8.333290894816093,"score":9,"time":"2017-08-21T21:08:44Z"},{"id":15150479,"title":"Awesome Pytorch List","url":"https://github.com/bharathgs/Awesome-pytorch-list","rank":-10.032646621485735,"score":2,"time":"2017-09-01T17:21:17Z"},{"id":15204608,"title":"Introducing Pytorch for fast.ai","url":"http://www.fast.ai/2017/09/08/introducing-pytorch-for-fastai/","rank":-9.104350122886538,"score":10,"time":"2017-09-08T23:08:57Z"},{"id":15205044,"title":"AllenNLP – An open-source NLP research library, built on PyTorch","url":"http://allennlp.org/","rank":-7.393981997272879,"score":3,"time":"2017-09-09T01:06:37Z"},{"id":15205999,"title":"Introducing Pytorch for fast.ai","url":"http://www.fast.ai/2017/09/08/introducing-pytorch-for-fastai/","rank":-9.104350122886538,"score":7,"time":"2017-09-09T07:51:06Z"},{"id":15207661,"title":"Introducing Pytorch for fast.ai","url":"http://www.fast.ai/2017/09/08/introducing-pytorch-for-fastai/","rank":-9.104350122886538,"score":29,"time":"2017-09-09T16:01:01Z"},{"id":15209900,"title":"Introducing Pytorch for fast.ai","url":"http://www.fast.ai/2017/09/08/introducing-pytorch-for-fastai/","rank":-9.104350122886538,"score":180,"time":"2017-09-10T00:47:46Z"},{"id":15218788,"title":"AllenNLP: An open-source NLP research library, built on PyTorch","url":"http://allennlp.org/","rank":-7.393981997272879,"score":2,"time":"2017-09-11T14:34:31Z"},{"id":15235558,"title":"PyTorch DDPG for continuous action reinforcement learning on OpenAI environments","url":"https://github.com/vy007vikas/PyTorch-ActorCriticRL","rank":-7.393981997272879,"score":3,"time":"2017-09-13T04:30:26Z"},{"id":15239227,"title":"PyTorch DDPG for continuous action reinforcement learning on OpenAI environments","url":"https://github.com/vy007vikas/PyTorch-ActorCriticRL","rank":-7.393981997272879,"score":1,"time":"2017-09-13T15:32:41Z"},{"id":15251767,"title":"Show HN: PyTorch Implementation of Deep Semantic Similarity Model(MS Research)","url":"https://github.com/nishnik/Deep-Semantic-Similarity-Model-PyTorch","rank":-7.126231333808056,"score":3,"time":"2017-09-14T19:37:26Z"},{"id":15254532,"title":"AllenNLP: An open-source NLP research library, built on PyTorch","url":"https://github.com/allenai/allennlp","rank":-7.393981997272879,"score":3,"time":"2017-09-15T04:00:16Z"},{"id":15262829,"title":"AllenNLP – An open-source NLP research library, built on PyTorch","url":"http://allennlp.org/","rank":-7.393981997272879,"score":194,"time":"2017-09-16T04:13:12Z"},{"id":15304976,"title":"Collection of generative adversarial networks(GANs) implemented in Pytorch","url":"https://github.com/znxlwm/pytorch-generative-model-collections","rank":-7.682638287284367,"score":2,"time":"2017-09-21T16:18:01Z"},{"id":15356573,"title":"Pytorch exercises","url":"https://github.com/Kyubyong/pytorch_exercises","rank":-10.571596455451935,"score":2,"time":"2017-09-28T12:26:14Z"},{"id":15402861,"title":"Implementing DeepMoji in PyTorch","url":"https://github.com/huggingface/torchMoji","rank":-9.54598349169516,"score":4,"time":"2017-10-04T18:19:54Z"},{"id":15419515,"title":"Construct a PyTorch Tensor","url":"https://www.aiworkbox.com/lessons/construct-a-pytorch-tensor","rank":-9.54598349169516,"score":2,"time":"2017-10-06T19:09:32Z"},{"id":15424575,"title":"Introducing TorchMoji, a PyTorch Implementation of DeepMoji","url":"https://medium.com/huggingface/understanding-emotions-from-keras-to-pytorch-3ccb61d5a983","rank":-8.333290894816093,"score":1,"time":"2017-10-07T17:03:33Z"},{"id":15437734,"title":"Quasi-Recurrent Neural Network (QRNN) for PyTorch","url":"https://github.com/salesforce/pytorch-qrnn","rank":-8.333290894816093,"score":3,"time":"2017-10-09T21:43:11Z"},{"id":15437755,"title":"PyTorch: fast and simple","url":"http://stsievert.com/blog/2017/09/07/pytorch/?utm_content=bufferfecf4&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer","rank":-9.54598349169516,"score":4,"time":"2017-10-09T21:47:35Z"},{"id":15438279,"title":"Neural Turing Machines (NTM): PyTorch Implementation","url":"https://github.com/loudinthecloud/pytorch-ntm","rank":-8.701773124615425,"score":2,"time":"2017-10-09T23:39:27Z"},{"id":15443344,"title":"PyTorch vs. TensorFlow: 1 month summary","url":"https://medium.com/towards-data-science/pytorch-vs-tensorflow-1-month-summary-35d138590f9","rank":-8.701773124615425,"score":5,"time":"2017-10-10T16:55:15Z"},{"id":15449356,"title":"Print and Check PyTorch Tensor Type","url":"https://www.aiworkbox.com/lessons/print-and-check-pytorch-tensor-type","rank":-8.701773124615425,"score":1,"time":"2017-10-11T12:58:13Z"},{"id":15463846,"title":"Why PyTorch (PyTorch Demystified)","url":"https://anthillinside.talkfunnel.com/2017/","rank":-12.354478075811736,"score":1,"time":"2017-10-13T07:41:09Z"},{"id":15477095,"title":"Serving PyTorch Models on AWS Lambda with Caffe2 and ONNX","url":"https://machinelearnings.co/serving-pytorch-models-on-aws-lambda-with-caffe2-onnx-7b096806cfac","rank":-7.393981997272879,"score":1,"time":"2017-10-15T13:49:18Z"},{"id":15478899,"title":"Pytorch-Sepconv: A Video Frame Interpolation via Adaptive Separable Convolution","url":"https://github.com/sniklaus/pytorch-sepconv","rank":-7.393981997272879,"score":3,"time":"2017-10-15T19:42:30Z"},{"id":15531381,"title":"Optimizing deeper networks with KFAC in PyTorch","url":"https://medium.com/@yaroslavvb/optimizing-deeper-networks-with-kfac-in-pytorch-4004adcba1b0","rank":-8.333290894816093,"score":1,"time":"2017-10-23T07:31:08Z"},{"id":15539322,"title":"Cast a PyTorch Tensor to Another Type","url":"https://www.aiworkbox.com/lessons/cast-a-pytorch-tensor-to-another-type","rank":-8.333290894816093,"score":1,"time":"2017-10-24T04:57:26Z"},{"id":15543390,"title":"PyTorch or TensorFlow?","url":"https://awni.github.io/pytorch-tensorflow/","rank":-10.032646621485735,"score":4,"time":"2017-10-24T17:32:43Z"},{"id":15547313,"title":"Concatenate PyTorch Tensors Along a Given Dimension","url":"https://www.aiworkbox.com/lessons/concatenate-pytorch-tensors-along-a-given-dimension","rank":-8.333290894816093,"score":2,"time":"2017-10-25T03:50:38Z"},{"id":15603418,"title":"Convert a NumPy Array to a PyTorch Tensor","url":"https://www.aiworkbox.com/lessons/convert-a-numpy-array-to-a-pytorch-tensor","rank":-7.994748098554717,"score":3,"time":"2017-11-01T17:19:37Z"},{"id":15619634,"title":"Pyro: PyTorch-Based Deep Universal Probabilistic Programming","url":"http://pyro.ai/","rank":-8.333290894816093,"score":189,"time":"2017-11-03T14:57:59Z"},{"id":15620476,"title":"PyTorch Implementation of “Dynamic Routing Between Capsules”","url":"https://github.com/gram-ai/capsule-networks","rank":-8.333290894816093,"score":2,"time":"2017-11-03T16:42:33Z"},{"id":15655946,"title":"Create a PyTorch Variable","url":"https://www.aiworkbox.com/lessons/create-a-pytorch-variable","rank":-9.54598349169516,"score":3,"time":"2017-11-08T19:20:36Z"},{"id":15702607,"title":"PyTorch Machine Learning Tutorials from MILA","url":"https://github.com/mila-udem/welcome_tutorials/tree/master/pytorch","rank":-8.701773124615425,"score":4,"time":"2017-11-15T09:40:06Z"},{"id":15718502,"title":"PyTorch Implementation of Nvidia Progressive Growing of GAN","url":"https://github.com/nashory/pggan-pytorch","rank":-7.994748098554717,"score":1,"time":"2017-11-17T02:37:26Z"},{"id":15733908,"title":"Adversarial Autoencoders with PyTorch","url":"https://blog.paperspace.com/adversarial-autoencoders-with-pytorch/","rank":-9.54598349169516,"score":2,"time":"2017-11-19T14:01:20Z"},{"id":15739696,"title":"TensorFlow meets PyTorch with Eager execution","url":"https://medium.com/@yaroslavvb/tensorflow-meets-pytorch-with-eager-mode-714cce161e6c","rank":-8.701773124615425,"score":2,"time":"2017-11-20T13:25:45Z"},{"id":15799990,"title":"Convert a PyTorch Tensor to a Numpy Multidimensional Array","url":"https://www.aiworkbox.com/lessons/convert-a-pytorch-tensor-to-a-numpy-multidimensional-array","rank":-7.682638287284367,"score":1,"time":"2017-11-28T18:32:51Z"},{"id":15840534,"title":"Probabilistic Torch is library for deep generative models that extends PyTorch","url":"https://github.com/probtorch/probtorch","rank":-7.126231333808056,"score":2,"time":"2017-12-04T00:25:58Z"},{"id":15849375,"title":"PyTorch v0.3.0","url":"https://github.com/pytorch/pytorch/releases/tag/v0.3.0","rank":-9.54598349169516,"score":2,"time":"2017-12-05T02:45:40Z"},{"id":15850318,"title":"Optical flow with FlowNet2 in PyTorch","url":"https://github.com/NVIDIA/flownet2-pytorch","rank":-8.701773124615425,"score":2,"time":"2017-12-05T07:12:58Z"},{"id":15858116,"title":"PyTorch 0.3 Is Out with Performance Improvements, ONNX/CUDA 9/CUDNN 7 Support","url":"https://www.techleer.com/articles/424-pytorch-03-is-out-with-performance-improvements-onnxcuda-9cudnn-7-support/","rank":-6.4279275509094935,"score":1,"time":"2017-12-06T02:53:24Z"},{"id":15878952,"title":"Understand PyTorch code in 10 minutes","url":"https://hsaghir.github.io/data_science/pytorch_starter/","rank":-8.701773124615425,"score":5,"time":"2017-12-08T14:51:17Z"},{"id":15881083,"title":"skorch: A scikit-learn compatible neural network library that wraps pytorch","url":"https://github.com/dnouri/skorch","rank":-7.126231333808056,"score":2,"time":"2017-12-08T19:10:22Z"},{"id":15884259,"title":"Skorch: A scikit-learn compatible neural network library that wraps pytorch","url":"https://github.com/dnouri/skorch","rank":-7.126231333808056,"score":8,"time":"2017-12-09T04:17:42Z"},{"id":15885732,"title":"Skorch: A Scikit-Learn Compatible Neural Network Library That Wraps PyTorch","url":"https://github.com/dnouri/skorch","rank":-7.126231333808056,"score":4,"time":"2017-12-09T13:38:17Z"},{"id":15889660,"title":"Convert PyTorch Autograd Variable to NumPy Multidimensional Array","url":"https://www.aiworkbox.com/lessons/convert-pytorch-autograd-variable-to-numpy-multidimensional-array","rank":-7.994748098554717,"score":3,"time":"2017-12-10T03:17:08Z"},{"id":15907301,"title":"Ignite: A high-level wrapper for pyTorch","url":"https://github.com/pytorch/ignite","rank":-8.333290894816093,"score":4,"time":"2017-12-12T17:14:46Z"},{"id":15946737,"title":"Print a Verbose Version of a PyTorch Tensor","url":"https://www.aiworkbox.com/lessons/print-a-verbose-version-of-a-pytorch-tensor","rank":-7.994748098554717,"score":1,"time":"2017-12-17T17:46:54Z"},{"id":15954708,"title":"Neural Machine Translation Framework in PyTorch","url":"https://github.com/lium-lst/nmtpytorch","rank":-8.701773124615425,"score":3,"time":"2017-12-18T19:38:34Z"},{"id":15958736,"title":"When to Use Transfer Learning: Experimentation on Different Datasets in PyTorch","url":"https://github.com/miguelgfierro/sciblog_support/blob/master/A_Gentle_Introduction_to_Transfer_Learning/Intro_Transfer_Learning.ipynb","rank":-7.126231333808056,"score":2,"time":"2017-12-19T08:53:33Z"},{"id":15968792,"title":"Show HN: Pytorch RNN autobatcher","url":"https://github.com/aribornstein/pytorch_autobatcher","rank":-9.104350122886538,"score":2,"time":"2017-12-20T11:46:47Z"},{"id":15969408,"title":"Get the PyTorch Tensor Shape","url":"https://www.aiworkbox.com/lessons/get-the-pytorch-tensor-shape","rank":-9.104350122886538,"score":1,"time":"2017-12-20T13:48:47Z"},{"id":15973294,"title":"Neural Machine Translation Framework in PyTorch","url":"https://github.com/lium-lst/nmtpytorch","rank":-8.701773124615425,"score":1,"time":"2017-12-20T20:09:41Z"},{"id":16013743,"title":"Show HN: DeepMind's Interaction Network in Pytorch","url":"https://github.com/higgsfield/interaction_network_pytorch","rank":-7.994748098554717,"score":2,"time":"2017-12-27T09:13:07Z"},{"id":16080814,"title":"Generative Adversarial Networks Code in PyTorch and Tensorflow","url":"https://github.com/diegoalejogm/gans","rank":-7.994748098554717,"score":139,"time":"2018-01-05T19:12:36Z"},{"id":16105750,"title":"Capsule Network tutorial with clean readable code in Pytorch","url":"https://github.com/higgsfield/Capsule-Network-Tutorial","rank":-7.682638287284367,"score":76,"time":"2018-01-09T12:48:33Z"},{"id":16111089,"title":"Interaction Networks for Learning about Objects, Relations and Physics. Pytorch","url":"https://github.com/higgsfield/interaction_network_pytorch","rank":-7.393981997272879,"score":2,"time":"2018-01-09T23:17:59Z"},{"id":16117098,"title":"Building a statically compiled, PyTorch-like autodifferentiation library in Rust","url":"https://medium.com/@maciejkula/building-an-autodifferentiation-library-9ccf32c7a658","rank":-7.393981997272879,"score":3,"time":"2018-01-10T17:48:42Z"},{"id":16190348,"title":"PyTorch, a year in","url":"http://pytorch.org/2018/01/19/a-year-in.html","rank":-9.54598349169516,"score":2,"time":"2018-01-19T22:14:06Z"},{"id":16204565,"title":"PyTorch, a year in","url":"http://pytorch.org/2018/01/19/a-year-in.html?utm_campaign=Revue%20newsletter&utm_medium=Newsletter&utm_source=The%20Wild%20Week%20in%20AI","rank":-9.54598349169516,"score":306,"time":"2018-01-22T14:31:24Z"},{"id":16220263,"title":"Calculate the Element-Wise Hadamard Multiplication of Matrices in PyTorch","url":"https://www.aiworkbox.com/lessons/calculate-the-element-wise-hadamard-multiplication-of-matrices-in-pytorch","rank":-7.393981997272879,"score":1,"time":"2018-01-24T04:15:13Z"},{"id":16225469,"title":"Saliency Mapping of Images Using Deep Learning in Pytorch","url":"https://github.com/karanchahal/SaliencyMapper","rank":-7.682638287284367,"score":3,"time":"2018-01-24T19:18:29Z"},{"id":16233898,"title":"AI Learning How to Play Pong in RealTime – PyTorch","url":"https://www.floydlabs.com/tensorboard/MUfRrEmWMLJeoJMS6kvNTN/","rank":-7.682638287284367,"score":63,"time":"2018-01-25T19:42:59Z"},{"id":16249440,"title":"PyTorch based Deep Learning MOOC","url":"http://course.fast.ai/lessons/lessons.html","rank":-9.104350122886538,"score":17,"time":"2018-01-28T02:36:29Z"},{"id":16292898,"title":"PyTorch Zero to All Lectures [video]","url":"https://www.youtube.com/playlist?list=PLlMkM4tgfjnJ3I-dbhO9JTw7gNty6o_2m","rank":-8.701773124615425,"score":4,"time":"2018-02-02T18:32:06Z"},{"id":16359447,"title":"How I Shipped a Neural Network on iOS with CoreML, PyTorch, and React Native","url":"https://attardi.org/pytorch-and-coreml/","rank":-6.4279275509094935,"score":10,"time":"2018-02-12T15:59:04Z"},{"id":16364826,"title":"Shipping a Neural Network on iOS with CoreML, PyTorch, and React Native","url":"https://attardi.org/pytorch-and-coreml","rank":-6.87719456208556,"score":501,"time":"2018-02-13T04:43:04Z"},{"id":16399636,"title":"A PyTorch Implementation of Neural IMage Assessment (NIMA)","url":"https://github.com/kentsyx/Neural-IMage-Assessment","rank":-7.994748098554717,"score":3,"time":"2018-02-17T08:00:10Z"},{"id":16405325,"title":"PyTorch Should Be Copyleft","url":"http://keithcu.com/wordpress/?p=3847","rank":-9.54598349169516,"score":3,"time":"2018-02-18T10:15:46Z"},{"id":16424458,"title":"A promenade of PyTorch","url":"http://www.goldsborough.me/ml/ai/python/2018/02/04/20-17-20-a_promenade_of_pytorch/","rank":-9.54598349169516,"score":150,"time":"2018-02-20T21:39:26Z"},{"id":16440676,"title":"Visualising CNN Models Using PyTorch","url":"https://software.intel.com/en-us/articles/visualising-cnn-models-using-pytorch","rank":-9.104350122886538,"score":2,"time":"2018-02-22T19:36:21Z"},{"id":16488897,"title":"Pytorch 101","url":"https://gauthamzz.github.io/2017/10/26/Pytorch-101/","rank":-10.571596455451935,"score":2,"time":"2018-03-01T01:20:15Z"},{"id":16506332,"title":"Dynamic Routing Between Capsules in PyTorch","url":"https://github.com/danielhavir/capsule-network","rank":-8.701773124615425,"score":4,"time":"2018-03-02T22:26:10Z"},{"id":16523688,"title":"Load CIFAR10 Dataset from PyTorch Torchvision","url":"https://aiworkbox.com/lessons/load-cifar10-dataset-from-pytorch-torchvision","rank":-8.701773124615425,"score":1,"time":"2018-03-05T19:34:06Z"},{"id":16524671,"title":"Tensor Comprehensions in PyTorch","url":"http://pytorch.org/2018/03/05/tensor-comprehensions.html","rank":-9.54598349169516,"score":14,"time":"2018-03-05T21:36:36Z"},{"id":16528682,"title":"Dynamic Routing Between Capsules in PyTorch","url":"https://github.com/danielhavir/capsule-network","rank":-8.701773124615425,"score":2,"time":"2018-03-06T13:29:16Z"},{"id":16529334,"title":"Show HN: PyToune – A Keras-Like Deep Learning Framework for PyTorch","url":"http://pytoune.org","rank":-7.126231333808056,"score":1,"time":"2018-03-06T15:19:53Z"},{"id":16572448,"title":"PyTorch – Internal Architecture Tour","url":"http://blog.christianperone.com/2018/03/pytorch-internal-architecture-tour/","rank":-9.54598349169516,"score":193,"time":"2018-03-12T22:55:40Z"},{"id":16587291,"title":"Introduction to Recurrent Neural Networks in Pytorch","url":"https://www.cpuheater.com/deep-learning/introduction-to-recurrent-neural-networks-in-pytorch/","rank":-8.333290894816093,"score":184,"time":"2018-03-14T18:54:01Z"},{"id":16605621,"title":"Load MNIST Dataset from PyTorch Torchvision","url":"https://www.aiworkbox.com/lessons/load-mnist-dataset-from-pytorch-torchvision","rank":-8.701773124615425,"score":2,"time":"2018-03-17T04:32:32Z"},{"id":16610499,"title":"Examine MNIST Dataset from PyTorch Torchvision","url":"https://www.aiworkbox.com/lessons/examine-mnist-dataset-from-pytorch-torchvision","rank":-8.701773124615425,"score":1,"time":"2018-03-18T04:54:20Z"},{"id":16623357,"title":"Show HN: Live Training Loss Plot in Jupyter Notebook for Keras and PyTorch","url":"https://github.com/stared/livelossplot","rank":-6.644975975894096,"score":2,"time":"2018-03-19T21:27:49Z"},{"id":16637785,"title":"GPyTorch: Gaussian Processes in PyTorch","url":"https://github.com/cornellius-gp/gpytorch","rank":-9.104350122886538,"score":2,"time":"2018-03-21T13:25:58Z"},{"id":16666942,"title":"Stochastic Weight Averaging in PyTorch: Improve Generalization in Deep Learning","url":"https://github.com/timgaripov/swa","rank":-7.393981997272879,"score":2,"time":"2018-03-24T15:08:08Z"},{"id":16668003,"title":"Practical Reinforcement Learning with clean readable code in Pytorch","url":"https://github.com/higgsfield/RL-Adventure","rank":-7.682638287284367,"score":3,"time":"2018-03-24T18:24:48Z"},{"id":16685172,"title":"Create a PyTorch Tensor Full of Zeros","url":"https://www.aiworkbox.com/lessons/create-a-pytorch-tensor-full-of-zeros","rank":-8.333290894816093,"score":1,"time":"2018-03-27T04:11:58Z"},{"id":16690829,"title":"Create a PyTorch Tensor Full of Ones","url":"https://www.aiworkbox.com/lessons/create-a-pytorch-tensor-full-of-ones","rank":-8.333290894816093,"score":1,"time":"2018-03-27T17:32:18Z"},{"id":16725117,"title":"Hallucinating faces with Dlib's face detector model in PyTorch","url":"https://jacobgil.github.io/deeplearning/hallucinating_faces_dlib_pytorch","rank":-7.393981997272879,"score":1,"time":"2018-03-31T20:49:52Z"},{"id":16727717,"title":"Out of the Box Support for TensorFlow and PyTorch for Clojure in Neanderthal","url":"https://dragan.rocks/articles/18/Out-of-the-box-for-TensorFlow-PyTorch-from-Clojure-Neanderhtal","rank":-6.644975975894096,"score":3,"time":"2018-04-01T11:11:24Z"},{"id":16743878,"title":"Caffe2 merging into PyTorch codebase","url":"https://github.com/caffe2/caffe2/issues/2439","rank":-9.104350122886538,"score":1,"time":"2018-04-03T12:14:05Z"},{"id":16760933,"title":"The Annotated Transformer – Implementing an Attention-Based NLP Model in PyTorch","url":"http://nlp.seas.harvard.edu/2018/04/03/attention.html","rank":-7.126231333808056,"score":4,"time":"2018-04-05T01:19:35Z"},{"id":16765829,"title":"Attention Is All You Need – Annotated Pytorch Code","url":"http://nlp.seas.harvard.edu//2018/04/03/attention.html","rank":-7.994748098554717,"score":1,"time":"2018-04-05T15:35:14Z"},{"id":16816141,"title":"Show HN: PyTorch NLP Deep Learning Tools (incl. loaders for 14 popular datasets)","url":"https://github.com/PetrochukM/PyTorch-NLP","rank":-6.644975975894096,"score":1,"time":"2018-04-11T21:59:32Z"},{"id":16830917,"title":"PyTorch for Recommenders 101","url":"http://blog.fastforwardlabs.com/2018/04/10/pytorch-for-recommenders-101.html","rank":-9.54598349169516,"score":2,"time":"2018-04-13T15:31:21Z"},{"id":16842702,"title":"Deep learning project template using PyTorch","url":"https://github.com/victoresque/pytorch-template","rank":-8.701773124615425,"score":1,"time":"2018-04-15T14:17:51Z"},{"id":16847107,"title":"PyTorch for Recommenders 101","url":"http://blog.fastforwardlabs.com/2018/04/10/pytorch-for-recommenders-101.html","rank":-9.54598349169516,"score":1,"time":"2018-04-16T06:46:47Z"},{"id":16880227,"title":"How to implement a YOLO (v3) object detector from scratch in PyTorch","url":"https://blog.paperspace.com/how-to-implement-a-yolo-object-detector-in-pytorch/","rank":-6.87719456208556,"score":2,"time":"2018-04-19T21:12:36Z"},{"id":16886823,"title":"How to implement a YOLO (v3) object detector from scratch in PyTorch","url":"https://blog.paperspace.com/how-to-implement-a-yolo-object-detector-in-pytorch/","rank":-6.87719456208556,"score":2,"time":"2018-04-20T17:42:15Z"},{"id":16890074,"title":"Introduction to Computer Vision and Deep Learning (with PyTorch)","url":"http://theaijournal.com/2018/04/20/pytorch-for-computer-vision-1-introduction-to-computer-vision-and-deep-learning/","rank":-7.682638287284367,"score":8,"time":"2018-04-21T05:06:00Z"},{"id":16895646,"title":"Generative Adversarial Networks (GANs) in 50 Lines of Code (PyTorch)","url":"https://medium.com/@devnag/generative-adversarial-networks-gans-in-50-lines-of-code-pytorch-e81b79659e3f","rank":-7.393981997272879,"score":2,"time":"2018-04-22T11:09:26Z"},{"id":16906400,"title":"Implementing YOLO v3 from scratch in PyTorch","url":"https://medium.com/paperspace/tutorial-on-implementing-yolo-v3-from-scratch-in-pytorch-part-1-a0054d38ec78","rank":-8.333290894816093,"score":11,"time":"2018-04-23T19:03:44Z"},{"id":16914710,"title":"Pytorch 0.4 migration guide","url":"http://pytorch.org/2018/04/22/0_4_0-migration-guide.html","rank":-9.104350122886538,"score":1,"time":"2018-04-24T17:35:49Z"},{"id":16916218,"title":"A Port of Fréchet Inception Distance (FID Score) to PyTorch","url":"https://github.com/mseitzer/pytorch-fid","rank":-7.393981997272879,"score":1,"time":"2018-04-24T20:27:17Z"},{"id":16916687,"title":"Pytorch 0.4.0 is out","url":"https://github.com/pytorch/pytorch/releases/tag/v0.4.0","rank":-8.701773124615425,"score":36,"time":"2018-04-24T21:16:31Z"},{"id":16926097,"title":"PyTorch Releases Major Update, Now Officially Supports Windows","url":"https://medium.com/syncedreview/pytorch-releases-major-update-now-officially-supports-windows-2426c9f29d2d","rank":-7.994748098554717,"score":10,"time":"2018-04-25T21:00:29Z"},{"id":16937592,"title":"How to implement a YOLO (v3) object detector in PyTorch","url":"https://medium.com/paperspace/tutorial-on-implementing-yolo-v3-from-scratch-in-pytorch-part-1-a0054d38ec78","rank":-7.393981997272879,"score":4,"time":"2018-04-27T01:08:06Z"},{"id":16940783,"title":"Show HN: Pytorch implementation of seq2seq model with attention and pointer","url":"https://github.com/atulkum/pointer_summarizer","rank":-7.126231333808056,"score":2,"time":"2018-04-27T13:57:13Z"},{"id":16955610,"title":"Unofficial Pytorch v0.3 implementation of (HRED)","url":"https://github.com/hsgodhia/hred","rank":-8.333290894816093,"score":2,"time":"2018-04-30T03:56:31Z"},{"id":16958298,"title":"PyTorch 0.4.0, Google Brain Tokyo, QuickNLP, Multilingual NLU, PeerRead Dataset","url":"https://medium.com/dair-ai/pytorch-0-4-0-aa48ec243d7","rank":-6.87719456208556,"score":2,"time":"2018-04-30T13:16:41Z"},{"id":16975506,"title":"Show HN: Peer-To-Peer Federated Deep Learning Using IPFS and PyTorch","url":"https://www.youtube.com/watch?v=iYP4sYz0jho&feature=youtu.be&t=1h13m21s","rank":-6.87719456208556,"score":15,"time":"2018-05-02T10:10:15Z"},{"id":16976738,"title":"Build Simple Neural Networks with TensorFlow, Keras, PyTorch and MXNet/Gluon","url":"https://sausheong.github.io/posts/building-neural-networks-with-tensorflow-keras-pytorch-mxnet/","rank":-7.126231333808056,"score":4,"time":"2018-05-02T13:41:32Z"},{"id":16978975,"title":"Announcing PyTorch 1.0 for both research and production","url":"https://code.facebook.com/posts/172423326753505/announcing-pytorch-1-0-for-both-research-and-production","rank":-7.682638287284367,"score":4,"time":"2018-05-02T17:05:01Z"},{"id":16979050,"title":"Facebook announces PyTorch 1.0, a more unified AI framework","url":"https://techcrunch.com/2018/05/02/facebook-announces-pytorch-1-0-a-more-unified-ai-framework/","rank":-7.393981997272879,"score":18,"time":"2018-05-02T17:13:26Z"},{"id":16979701,"title":"The road to 1.0: production ready PyTorch","url":"https://pytorch.org/2018/05/02/road-to-1.0.html","rank":-7.994748098554717,"score":29,"time":"2018-05-02T18:14:40Z"},{"id":16979738,"title":"Focus on AI at Facebook F8; PyTorch 1.0 Released","url":"https://medium.com/syncedreview/focus-on-ai-at-facebook-f8-6dbe7e04b565","rank":-7.393981997272879,"score":2,"time":"2018-05-02T18:19:05Z"},{"id":16980546,"title":"Caffe2 and PyTorch join forces to create PyTorch 1.0","url":"https://caffe2.ai/blog/2018/05/02/Caffe2_PyTorch_1_0.html","rank":-10.396434586537026,"score":2,"time":"2018-05-02T19:50:04Z"},{"id":16981322,"title":"Translate – a machine translation library for PyTorch","url":"https://github.com/pytorch/translate","rank":-8.333290894816093,"score":1,"time":"2018-05-02T21:31:04Z"},{"id":16981812,"title":"Pytorch release 4.0 core changes","url":"https://github.com/pytorch/pytorch/releases","rank":-8.701773124615425,"score":2,"time":"2018-05-02T22:44:33Z"},{"id":16982942,"title":"Announcing PyTorch 1.0 for both research and production","url":"https://code.facebook.com/posts/172423326753505/announcing-pytorch-1-0-for-both-research-and-production/","rank":-7.682638287284367,"score":1,"time":"2018-05-03T02:33:31Z"},{"id":16986762,"title":"[PyTorch for Computer Vision 2]: GPU in Deep Learning, do you need one?","url":"https://theaijournal.com/2018/05/03/pytorch-for-computer-vision-2-gpu-in-deep-learning-do-you-need-one","rank":-6.644975975894096,"score":4,"time":"2018-05-03T15:16:25Z"},{"id":16986800,"title":"Facebook open-sources PyTorch 1.0 AI framework","url":"https://www.zdnet.com/article/facebook-open-sources-pytorch-1-0-ai-framework/","rank":-7.994748098554717,"score":2,"time":"2018-05-03T15:21:33Z"},{"id":16994860,"title":"Announcing PyTorch 1.0 for both research and production","url":"https://code.facebook.com/posts/172423326753505/announcing-pytorch-1-0-for-both-research-and-production/","rank":-7.682638287284367,"score":1,"time":"2018-05-04T14:34:38Z"},{"id":17008173,"title":"PyTorch-NLP 0.3.0 Released","url":"https://github.com/PetrochukM/PyTorch-NLP/releases/tag/0.3.0","rank":-8.701773124615425,"score":1,"time":"2018-05-06T19:59:35Z"},{"id":17091449,"title":"Basics of Image Classification with PyTorch","url":"https://heartbeat.fritz.ai/basics-of-image-classification-with-pytorch-2f8973c51864","rank":-8.701773124615425,"score":4,"time":"2018-05-17T14:22:38Z"},{"id":17092634,"title":"Pytorch/glow: Compiler for Neural Network Hardware Accelerators","url":"https://github.com/pytorch/glow","rank":-7.994748098554717,"score":2,"time":"2018-05-17T16:14:58Z"},{"id":17096240,"title":"PyTorch 1.0 released","url":"https://developers.facebook.com/videos/f8-2018/introducing-pytorch-10-a-new-research-focused-production-ready-deep-learning-framework","rank":-9.54598349169516,"score":3,"time":"2018-05-17T21:45:31Z"},{"id":17112494,"title":"Show HN: Pytorch Model Summary","url":"https://github.com/sksq96/pytorch-summary","rank":-9.104350122886538,"score":3,"time":"2018-05-20T12:50:02Z"},{"id":17128758,"title":"Fairness in Machine Learning with PyTorch","url":"https://blog.godatadriven.com/fairness-in-pytorch","rank":-8.701773124615425,"score":5,"time":"2018-05-22T19:36:13Z"},{"id":17146886,"title":"Yet another tutorial on PyTorch","url":"https://nikhilweee.me/posts/2018/first-rnn-pytorch-1/","rank":-9.104350122886538,"score":3,"time":"2018-05-24T18:31:25Z"},{"id":17165118,"title":"RL-Adventure-2: PyTorch tutorial of a2c/ppo/acer/ddpg/td3/soft a2c/gail/her","url":"https://github.com/higgsfield/RL-Adventure-2","rank":-6.224609773336247,"score":3,"time":"2018-05-27T02:02:54Z"},{"id":17206588,"title":"Horovod: Distributed Training Framework for TensorFlow, Keras and PyTorch","url":"https://github.com/uber/horovod","rank":-7.682638287284367,"score":1,"time":"2018-06-01T15:56:32Z"},{"id":17217324,"title":"Horovod: Distributed Training Framework for TensorFlow, Keras, and PyTorch","url":"https://github.com/uber/horovod","rank":-7.682638287284367,"score":100,"time":"2018-06-03T01:03:07Z"},{"id":17235303,"title":"Training with PyTorch on Amazon SageMaker","url":"https://medium.com/@julsimon/training-with-pytorch-on-amazon-sagemaker-58fca8c69987","rank":-8.701773124615425,"score":1,"time":"2018-06-05T05:59:52Z"},{"id":17261063,"title":"Reinforcement Learning: From Zero to State of the Art with Pytorch 4","url":"https://github.com/higgsfield/RL-Adventure-2","rank":-6.87719456208556,"score":238,"time":"2018-06-07T22:51:13Z"},{"id":17286769,"title":"Tutorials on Sentiment Analysis Using PyTorch and TorchText","url":"https://github.com/bentrevett/pytorch-sentiment-analysis","rank":-7.994748098554717,"score":2,"time":"2018-06-11T18:07:00Z"},{"id":17329739,"title":"PyTorch or TensorFlow?","url":"https://awni.github.io/pytorch-tensorflow/","rank":-10.032646621485735,"score":27,"time":"2018-06-16T22:09:42Z"},{"id":17343940,"title":"PyTorch Geometric","url":"https://github.com/rusty1s/pytorch_geometric","rank":-10.571596455451935,"score":1,"time":"2018-06-19T04:49:53Z"},{"id":17347825,"title":"SLM-Lab: Modular Deep Reinforcement Learning Framework in PyTorch","url":"https://github.com/kengz/SLM-Lab","rank":-7.682638287284367,"score":1,"time":"2018-06-19T15:55:48Z"},{"id":17400649,"title":"Deploying PyTorch and Keras Models to Android with TensorFlow Mobile","url":"https://heartbeat.fritz.ai/deploying-pytorch-and-keras-models-to-android-with-tensorflow-mobile-a16a1fb83f2","rank":-7.393981997272879,"score":4,"time":"2018-06-26T14:03:02Z"},{"id":17404141,"title":"Apex: PyTorch Extension with Tools to Realize the Power of Tensor Cores","url":"https://news.developer.nvidia.com/introducing-apex-pytorch-extension-with-tools-to-realize-the-power-of-tensor-cores/","rank":-6.87719456208556,"score":2,"time":"2018-06-26T21:28:27Z"},{"id":17409543,"title":"Using PyTorch for Medical Image Registration","url":"https://twitter.com/ChristophJud/status/1011877988454027264?s=19","rank":-8.701773124615425,"score":1,"time":"2018-06-27T16:34:44Z"},{"id":17415321,"title":"Keras vs PyTorch","url":"https://deepsense.ai/keras-or-pytorch/","rank":-10.032646621485735,"score":385,"time":"2018-06-28T09:25:50Z"},{"id":17432993,"title":"PyTorch Tensor Basics","url":"https://www.kdnuggets.com/2018/05/pytorch-tensor-basics.html","rank":-10.032646621485735,"score":2,"time":"2018-06-30T22:10:39Z"},{"id":17453464,"title":"Up and Running with Ubuntu 18.04, Nvidia, Cuda, CuDNN, TensorFlow, and PyTorch","url":"https://medium.com/@kmshannon/up-and-running-with-ubuntu-nvidia-cuda-cudnn-tensorflow-and-pytorch-a54ec2ec907d","rank":-6.644975975894096,"score":1,"time":"2018-07-03T20:41:50Z"},{"id":17551370,"title":"Reproducible machine learning with PyTorch and Quilt","url":"https://blog.paperspace.com/reproducible-data-with-pytorch-and-quilt/","rank":-8.333290894816093,"score":135,"time":"2018-07-17T17:22:57Z"},{"id":17565179,"title":"Show HN: Implementation of Hierarchical Attention Networks in PyTorch","url":"https://github.com/pandeykartikey/Hierarchical-Attention-Network","rank":-7.682638287284367,"score":2,"time":"2018-07-19T10:52:47Z"},{"id":17633476,"title":"Kaixhin/grokking-pytorch: The Hitchiker's Guide to PyTorch","url":"https://github.com/Kaixhin/grokking-pytorch","rank":-10.678504733356567,"score":4,"time":"2018-07-28T15:10:12Z"},{"id":17659519,"title":"A selective excursion into the internals of PyTorch","url":"https://lernapparat.de/selective-excursion-into-pytorch-internals/","rank":-7.994748098554717,"score":2,"time":"2018-08-01T03:57:04Z"},{"id":17659561,"title":"PyTorch Loss Functions in Plain Python","url":"https://medium.com/@zhang_yang/pytorch-loss-funtions-in-plain-python-b79c05f8b53f","rank":-8.701773124615425,"score":1,"time":"2018-08-01T04:04:47Z"},{"id":17680045,"title":"Guide to Restricted Boltzmann Machines Using PyTorch","url":"https://heartbeat.fritz.ai/guide-to-restricted-boltzmann-machines-using-pytorch-ee50d1ed21a8","rank":-8.333290894816093,"score":2,"time":"2018-08-03T14:20:12Z"},{"id":17686665,"title":"Show HN: DeepMind's Neural Arithmetic Logic Units in PyTorch","url":"https://github.com/kevinzakka/NALU-pytorch","rank":-7.393981997272879,"score":8,"time":"2018-08-04T12:50:28Z"},{"id":17703994,"title":"Guide to Restricted Boltzmann Machines Using PyTorch","url":"https://heartbeat.fritz.ai/guide-to-restricted-boltzmann-machines-using-pytorch-ee50d1ed21a8","rank":-8.333290894816093,"score":2,"time":"2018-08-07T05:03:22Z"},{"id":17754015,"title":"Solving the Brachistochrone with PyTorch","url":"http://blog.benwiener.com/programming/2018/08/12/brachistochrone.html","rank":-9.104350122886538,"score":3,"time":"2018-08-13T22:17:03Z"},{"id":17772158,"title":"Policy Gradient Reinforcement Learning in PyTorch","url":"https://medium.com/@ts1829/policy-gradient-reinforcement-learning-in-pytorch-df1383ea0baf","rank":-8.701773124615425,"score":2,"time":"2018-08-16T05:31:25Z"},{"id":17782605,"title":"How to Implement a Recommendation System with Deep Learning and PyTorch","url":"https://medium.com/@iliazaitsev/how-to-implement-a-recommendation-system-with-deep-learning-and-pytorch-2d40476590f9","rank":-7.126231333808056,"score":1,"time":"2018-08-17T13:22:18Z"},{"id":17794752,"title":"Pytorch implementation of our method for high-resolution video-to-video","url":"https://github.com/NVIDIA/vid2vid","rank":-7.126231333808056,"score":2,"time":"2018-08-19T15:56:44Z"},{"id":17795098,"title":"Building RNNs Is Fun with PyTorch and Google Colab","url":"https://medium.com/dair-ai/building-rnns-is-fun-with-pytorch-and-google-colab-3903ea9a3a79","rank":-7.682638287284367,"score":3,"time":"2018-08-19T17:04:27Z"},{"id":17809191,"title":"Pytorch video to video translation","url":"https://github.com/NVIDIA/vid2vid","rank":-9.104350122886538,"score":1,"time":"2018-08-21T13:07:26Z"},{"id":17821243,"title":"PyTorch Developer Conference","url":"https://pytorch.fbreg.com","rank":-10.032646621485735,"score":1,"time":"2018-08-22T19:23:13Z"},{"id":17832975,"title":"Day22 Starts with PyTorch #100DaysOfML #100DaysOfCode","url":"https://tinyurl.com/yd64baeh","rank":-8.701773124615425,"score":1,"time":"2018-08-24T05:26:20Z"},{"id":17844329,"title":"PyTorch for Scientific Computing: Quantum Mechanics Example Part 2","url":"https://www.pugetsystems.com/labs/hpc/PyTorch-for-Scientific-Computing---Quantum-Mechanics-Example-Part-2-Program-Before-Code-Optimizations-1222/","rank":-7.682638287284367,"score":102,"time":"2018-08-26T04:52:47Z"},{"id":17857135,"title":"Building a Neural Style Transfer App on iOS with PyTorch and CoreML","url":"https://medium.com/@alexiscreuzot/building-a-neural-style-transfer-app-on-ios-with-pytorch-and-coreml-76e00cd14b28","rank":-6.87719456208556,"score":1,"time":"2018-08-28T07:36:45Z"},{"id":17858899,"title":"DeepLab model for object segmentation in Pytorch","url":"https://github.com/1991viet/Deeplab-pytorch","rank":-8.333290894816093,"score":1,"time":"2018-08-28T14:14:48Z"},{"id":17873661,"title":"PyTorch Implementations of Coursera's Deep Learning Specialization","url":"https://github.com/furkanu/deeplearning.ai-pytorch","rank":-7.994748098554717,"score":3,"time":"2018-08-30T02:12:38Z"},{"id":17879760,"title":"HyperLearn – Faster Sklearn Written in PyTorch","url":"https://github.com/danielhanchen/hyperlearn","rank":-8.701773124615425,"score":3,"time":"2018-08-30T19:08:58Z"},{"id":17887152,"title":"Building a Neural Style Transfer App on iOS with PyTorch and CoreML","url":"https://medium.com/@alexiscreuzot/building-a-neural-style-transfer-app-on-ios-with-pytorch-and-coreml-76e00cd14b28","rank":-6.87719456208556,"score":1,"time":"2018-08-31T17:03:43Z"},{"id":17893219,"title":"HyperLearn: Faster, Leaner GPU Sklearn, Statsmodels Written in PyTorch","url":"https://github.com/danielhanchen/hyperlearn","rank":-7.682638287284367,"score":19,"time":"2018-09-01T18:20:29Z"},{"id":17909116,"title":"MagNet: High-Level Deep Learning API, Wrapped Around PyTorch","url":"https://github.com/MagNet-DL/magnet","rank":-7.682638287284367,"score":2,"time":"2018-09-04T14:07:00Z"},{"id":17938817,"title":"How PyTorch Transposed Convs1D Work","url":"https://medium.com/@santi.pdp/how-pytorch-transposed-convs1d-work-a7adac63c4a5","rank":-9.104350122886538,"score":3,"time":"2018-09-08T01:11:08Z"},{"id":17970287,"title":"Show HN: Torchbearer: A Model Fitting Library for PyTorch","url":"https://arxiv.org/abs/1809.03363","rank":-7.682638287284367,"score":1,"time":"2018-09-12T16:18:49Z"},{"id":18009482,"title":"Neural Processes in PyTorch","url":"https://chrisorm.github.io/NGP.html","rank":-9.54598349169516,"score":3,"time":"2018-09-17T20:03:07Z"},{"id":18015238,"title":"Show HN: Question Answering with BiDAF and DrQA in PyTorch","url":"https://github.com/tangbinh/question-answering","rank":-7.393981997272879,"score":1,"time":"2018-09-18T13:48:10Z"},{"id":18040313,"title":"Transferring ML Models from PyTorch to Caffe2 and Mobile Using ONNX","url":"https://heartbeat.fritz.ai/transferring-machine-learning-models-from-pytorch-to-caffe2-and-mobile-using-onnx-10eb266eaacb","rank":-7.126231333808056,"score":2,"time":"2018-09-21T15:17:11Z"},{"id":18085550,"title":"A library for running privacy attacks against PyTorch or Keras models","url":"https://github.com/spring-epfl/mia","rank":-7.126231333808056,"score":1,"time":"2018-09-27T15:42:19Z"},{"id":18092814,"title":"AI Diary\u200A–\u200A#1\u200A–\u200AThe AI Community, Academic AI, Opinions, PyTorch Conference,","url":"https://medium.com/dair-ai/ai-diary-1-the-ai-community-academic-ai-opinions-pytorch-developer-conference-nlp-cd0a9899f45b","rank":-7.126231333808056,"score":1,"time":"2018-09-28T12:38:21Z"},{"id":18120328,"title":"PyTorch 1.0rc1 is out: torch.jit, C++ API, c10d distributed","url":"https://github.com/pytorch/pytorch/releases/tag/v1.0rc0","rank":-7.126231333808056,"score":2,"time":"2018-10-02T10:41:18Z"},{"id":18123282,"title":"Facebook launches PyTorch 1.0","url":"https://code.fb.com/ai-research/facebook-accelerates-ai-development-with-new-partners-and-production-capabilities-for-pytorch-1-0/","rank":-9.104350122886538,"score":245,"time":"2018-10-02T16:40:25Z"},{"id":18123587,"title":"Fastai for PyTorch: Fast and accurate neural nets using modern best practices","url":"http://www.fast.ai/2018/10/02/fastai-ai/","rank":-6.87719456208556,"score":279,"time":"2018-10-02T17:11:40Z"},{"id":18124407,"title":"Introducing PyTorch Across Google Cloud","url":"https://cloud.google.com/blog/products/ai-machine-learning/introducing-pytorch-across-google-cloud","rank":-9.104350122886538,"score":21,"time":"2018-10-02T18:38:54Z"},{"id":18124591,"title":"Intro to Deep Learning with PyTorch","url":"https://blog.udacity.com/2018/10/introducing-the-pytorch-scholarship-challenge-from-facebook.html","rank":-8.701773124615425,"score":2,"time":"2018-10-02T18:56:39Z"},{"id":18125187,"title":"Facebook Launches PyTorch 1.0 with Integrations for Google Cloud, AWS, and Azure","url":"https://venturebeat.com/2018/10/02/facebook-launches-pytorch-1-0-integrations-for-google-cloud-aws-and-azure-machine-learning/","rank":-6.644975975894096,"score":1,"time":"2018-10-02T20:00:51Z"},{"id":18126781,"title":"PyTorch 1.0 Tracing JIT and LibTorch C++ API to Integrate PyTorch into Node.js","url":"http://blog.christianperone.com/2018/10/pytorch-1-0-tracing-jit-and-libtorch-c-api-to-integrate-pytorch-into-nodejs/","rank":-9.183530752042847,"score":2,"time":"2018-10-03T00:23:47Z"},{"id":18126867,"title":"Facebook Says Developers Will Love PyTorch 1.0","url":"https://medium.com/syncedreview/facebook-says-developers-will-love-pytorch-1-0-ba2f89ebc9cc","rank":-7.994748098554717,"score":1,"time":"2018-10-03T00:48:50Z"},{"id":18132347,"title":"PyTorch 1.0 JIT and LibTorch C++ API to Integrate PyTorch into Node.js","url":"http://blog.christianperone.com/2018/10/pytorch-1-0-tracing-jit-and-libtorch-c-api-to-integrate-pytorch-into-nodejs?post=2","rank":-9.402930004015632,"score":24,"time":"2018-10-03T17:07:25Z"},{"id":18132823,"title":"Keras vs. PyTorch: Alien vs. Predator recognition with transfer learning","url":"https://deepsense.ai/keras-vs-pytorch-avp-transfer-learning/","rank":-7.393981997272879,"score":1,"time":"2018-10-03T17:57:01Z"},{"id":18133401,"title":"​Facebook open-source AI framework PyTorch 1.0 released","url":"https://www.zdnet.com/article/facebook-open-source-ai-framework-pytorch-1-0-released/","rank":-7.682638287284367,"score":2,"time":"2018-10-03T18:42:51Z"},{"id":18139246,"title":"Node.js and PyTorch combined","url":"http://blog.christianperone.com/2018/10/pytorch-1-0-tracing-jit-and-libtorch-c-api-to-integrate-pytorch-into-nodejs/","rank":-9.104350122886538,"score":2,"time":"2018-10-04T12:28:29Z"},{"id":18139412,"title":"Keras vs. PyTorch code side-by-side on transfer learning project","url":"https://deepsense.ai/keras-vs-pytorch-avp-transfer-learning/","rank":-7.126231333808056,"score":1,"time":"2018-10-04T12:53:26Z"},{"id":18141834,"title":"Fastai 1.0 for PyTorch: “There’s Nothing Better Out There”","url":"https://medium.com/@Synced/fastai-1-0-for-pytorch-theres-nothing-better-out-there-4d123728224b","rank":-7.126231333808056,"score":1,"time":"2018-10-04T17:26:24Z"},{"id":18148484,"title":"Helpful PyTorch Stack Overflow Questions and Answers","url":"http://blog.milton.ai/helpful-pytorch-stack-overflow-qa/","rank":-8.333290894816093,"score":1,"time":"2018-10-05T14:41:31Z"},{"id":18148595,"title":"An Introduction to PyTorch for Deep Learning","url":"https://heartbeat.fritz.ai/introduction-to-pytorch-for-deep-learning-5b437cea90ac","rank":-8.333290894816093,"score":5,"time":"2018-10-05T14:51:59Z"},{"id":18158017,"title":"Frameworks mentioned ICLR 2018-2019: {TensorFlow 228-266}, {Pytorch 87-252}","url":"https://www.reddit.com/r/MachineLearning/comments/9kys38/r_frameworks_mentioned_iclr_20182019_tensorflow/","rank":-7.126231333808056,"score":2,"time":"2018-10-06T23:42:33Z"},{"id":18195250,"title":"Vel: PyTorch meets baselines","url":"https://blog.millionintegrals.com/vel-pytorch-meets-baselines/","rank":-9.54598349169516,"score":3,"time":"2018-10-11T17:14:48Z"},{"id":18197505,"title":"Thoughts on PyTorch and the Growing PyTorch Ecosystem","url":"https://twimlai.com/thoughts-on-pytorch-and-the-growing-pytorch-ecosystem/","rank":-10.976307666591111,"score":2,"time":"2018-10-11T22:24:53Z"},{"id":18201514,"title":"Detecting the language of a person's name using a PyTorch RNN","url":"https://heartbeat.fritz.ai/detecting-the-language-of-a-persons-name-using-pytorch-rnn-29a9090c20f2","rank":-6.87719456208556,"score":5,"time":"2018-10-12T14:10:56Z"},{"id":18227830,"title":"Medical Imaging Analysis Using PyTorch","url":"https://medium.com/dair-ai/medical-imaging-analysis-mri-cnn-pytorch-4877e64e7303","rank":-9.104350122886538,"score":1,"time":"2018-10-16T09:03:26Z"},{"id":18247575,"title":"Deep Learning Based Emotion Recognition with PyTorch and TensorFlow","url":"https://medium.com/dair-ai/deep-learning-based-emotion-recognition-with-pytorch-and-tensorflow-61e831f72234","rank":-7.682638287284367,"score":3,"time":"2018-10-18T12:10:28Z"},{"id":18285722,"title":"Show HN: Encrypted Deep Learning in PyTorch","url":"https://github.com/OpenMined/PySyft","rank":-8.333290894816093,"score":37,"time":"2018-10-23T17:58:48Z"},{"id":18297049,"title":"Faster R-CNN and Mask R-CNN in PyTorch 1.0","url":"https://github.com/facebookresearch/maskrcnn-benchmark","rank":-7.126231333808056,"score":3,"time":"2018-10-24T22:33:44Z"},{"id":18304600,"title":"Facebok's Fast, Modular Semantic Segmentation and Object Detection in PyTorch","url":"https://github.com/facebookresearch/maskrcnn-benchmark","rank":-7.126231333808056,"score":1,"time":"2018-10-25T21:08:23Z"},{"id":18328111,"title":"Qnnpack: PyTorch-integrated open source library for mobile deep learning","url":"https://code.fb.com/ml-applications/qnnpack-open-source-library-for-optimized-mobile-deep-learning/","rank":-7.393981997272879,"score":68,"time":"2018-10-29T15:10:42Z"},{"id":18338610,"title":"Fast, Modular Instance Segmentation and Object Detection in PyTorch","url":"https://github.com/facebookresearch/maskrcnn-benchmark","rank":-7.682638287284367,"score":2,"time":"2018-10-30T16:45:58Z"},{"id":18344634,"title":"Code the Transformer in PyTorch","url":"https://blog.floydhub.com/the-transformer-in-pytorch/","rank":-9.104350122886538,"score":2,"time":"2018-10-31T10:52:12Z"},{"id":18363586,"title":"Raytracer in PyTorch","url":"https://github.com/mmirman/MentisOculi","rank":-10.032646621485735,"score":5,"time":"2018-11-02T15:14:44Z"},{"id":18367164,"title":"Facial Similarity with Siamese Networks in PyTorch","url":"https://hackernoon.com/facial-similarity-with-siamese-networks-in-pytorch-9642aa9db2f7","rank":-8.333290894816093,"score":1,"time":"2018-11-02T22:11:22Z"},{"id":18397932,"title":"PyTorch version of Google AI's BERT and its pre-trained models","url":"https://github.com/huggingface/pytorch-pretrained-BERT","rank":-6.87719456208556,"score":2,"time":"2018-11-07T08:59:39Z"},{"id":18424033,"title":"Intro to Deep Learning with PyTorch by Facebook AI on Udacity","url":"https://www.udacity.com/course/deep-learning-pytorch--ud188","rank":-7.126231333808056,"score":4,"time":"2018-11-10T23:14:06Z"},{"id":18429985,"title":"Show HN: Straightforward implementation from a paper to Python code by PyTorch","url":"https://github.com/masa-su/pixyz","rank":-6.87719456208556,"score":3,"time":"2018-11-12T01:40:18Z"},{"id":18453570,"title":"PyTorch Implementation of Differentiable ODE Solvers","url":"https://github.com/rtqichen/torchdiffeq/blob/master/README.md","rank":-8.701773124615425,"score":3,"time":"2018-11-14T20:29:46Z"},{"id":18492512,"title":"Intro to Deep Learning with PyTorch Free Course","url":"https://www.udacity.com/course/deep-learning-pytorch--ud188","rank":-7.994748098554717,"score":3,"time":"2018-11-20T08:23:48Z"},{"id":18493719,"title":"Using Pytorch and Pyro to Prove Poland Was Robbed at the 2018 Chess Olympiad","url":"https://tenfifty.io/probabilistic-programming-proves-poland-was-robbed-in-chess/","rank":-6.4279275509094935,"score":3,"time":"2018-11-20T13:46:41Z"},{"id":18508930,"title":"Beginner Tutorial: Privacy Preserving, Decentralized Deep Learning in PyTorch","url":"https://github.com/OpenMined/PySyft/tree/master/examples/tutorials","rank":-7.682638287284367,"score":11,"time":"2018-11-22T09:32:59Z"},{"id":18509727,"title":"Maskrcnn-Benchmark: Faster R-CNN and Mask R-CNN in PyTorch 1.0","url":"https://github.com/facebookresearch/maskrcnn-benchmark","rank":-6.644975975894096,"score":2,"time":"2018-11-22T13:01:49Z"},{"id":18516795,"title":"FPN-Pytorch","url":"https://github.com/funnyzhou/FPN-Pytorch","rank":-10.571596455451935,"score":2,"time":"2018-11-23T15:06:52Z"},{"id":18595405,"title":"Jupyter Notebook Tutorial – Privacy-Preserving Deep Learning in PyTorch","url":"https://github.com/OpenMined/PySyft/tree/master/examples/tutorials","rank":-7.682638287284367,"score":218,"time":"2018-12-04T02:15:20Z"},{"id":18595754,"title":"Pytorch implementations of various different types of autoencoders","url":"https://github.com/tmac1997/Autoencoders-Variants","rank":-7.994748098554717,"score":2,"time":"2018-12-04T03:07:48Z"},{"id":18630721,"title":"PyTorch 1.0 is out","url":"https://github.com/pytorch/pytorch/releases/tag/v1.0.0","rank":-9.104350122886538,"score":470,"time":"2018-12-07T19:25:29Z"},{"id":18630972,"title":"PyTorch developer ecosystem expands, 1.0 stable release now available","url":"https://code.fb.com/ai-research/pytorch-developer-ecosystem-expands-1-0-stable-release","rank":-7.393981997272879,"score":15,"time":"2018-12-07T19:53:13Z"},{"id":18654634,"title":"Benchmark from NVidia Shows MXNet Outperforming Pytorch and Tensorflow","url":"https://developer.nvidia.com/deep-learning-performance-training-inference","rank":-7.682638287284367,"score":2,"time":"2018-12-11T11:34:40Z"},{"id":18678456,"title":"Nvidia Deep Learning Benchmark: Apache MXNet 1.5x Faster Than Pytorch and TF","url":"https://developer.nvidia.com/deep-learning-performance-training-inference","rank":-6.644975975894096,"score":2,"time":"2018-12-14T04:23:37Z"},{"id":18706299,"title":"Show HN: Flair – State of the art NLP framework on top of pytorch","url":"https://github.com/zalandoresearch/flair","rank":-6.644975975894096,"score":11,"time":"2018-12-18T13:42:34Z"},{"id":18718012,"title":"Top PyTorch Repositories","url":"https://github.com/topics/pytorch","rank":-10.032646621485735,"score":1,"time":"2018-12-19T18:31:32Z"},{"id":18723706,"title":"Show HN: TorchGAN – Research Framework for Modelling GANs Based on Pytorch","url":"https://github.com/torchgan/torchgan/","rank":-7.126231333808056,"score":56,"time":"2018-12-20T10:08:51Z"},{"id":18787582,"title":"Deep Learning for NLP: SpaCy vs. PyTorch vs. AllenNLP","url":"https://luckytoilet.wordpress.com/2018/12/29/deep-learning-for-nlp-spacy-vs-pytorch-vs-allennlp/","rank":-7.682638287284367,"score":6,"time":"2018-12-30T05:21:08Z"},{"id":18804644,"title":"PyTorch implementation of Super SloMo by Jiang et al","url":"https://github.com/avinashpaliwal/Super-SloMo","rank":-7.682638287284367,"score":6,"time":"2019-01-02T06:52:07Z"},{"id":18813412,"title":"PyTorch passes Keras on Google Trends Metric in the USA - gains on Tensorflow","url":"https://trends.google.com/trends/explore?geo=US&q=keras,pytorch","rank":-6.644975975894096,"score":11,"time":"2019-01-03T07:00:37Z"},{"id":18823084,"title":"PyTorch Implementation of “InstaGAN: Instance-Aware Image Translation”","url":"https://github.com/sangwoomo/instagan","rank":-7.994748098554717,"score":4,"time":"2019-01-04T10:40:49Z"},{"id":18838300,"title":"A Layman Guide to Moving from Keras to Pytorch","url":"https://mlwhiz.com/blog/2019/01/06/pytorch_keras_conversion/","rank":-7.682638287284367,"score":4,"time":"2019-01-06T13:55:38Z"},{"id":18848536,"title":"A Layman's Guide to Moving from Keras to Pytorch","url":"https://mlwhiz.com/blog/2019/01/06/pytorch_keras_conversion/","rank":-7.393981997272879,"score":2,"time":"2019-01-07T18:47:48Z"},{"id":18858811,"title":"The best way to leave keras and move to pytorch","url":"https://mlwhiz.com/blog/2019/01/06/pytorch_keras_conversion/","rank":-7.393981997272879,"score":2,"time":"2019-01-08T19:36:40Z"},{"id":18863578,"title":"Demo: Automatic image captioning with visual attention using PyTorch","url":"https://www.youtube.com/watch?v=RlNjzz358Jc","rank":-7.682638287284367,"score":1,"time":"2019-01-09T09:49:44Z"},{"id":18872883,"title":"Automatic image captioning with visual attention using PyTorch","url":"https://www.youtube.com/watch?v=RlNjzz358Jc","rank":-7.994748098554717,"score":6,"time":"2019-01-10T10:40:05Z"},{"id":18873619,"title":"Image style transfer using neural networks implemented in PyTorch","url":"https://github.com/saisrivathsa/StyleTransfer-PyTorch","rank":-7.682638287284367,"score":1,"time":"2019-01-10T13:24:37Z"},{"id":18890576,"title":"Image Style Transfer:Style transfer from famous paintings using CNNs in Pytorch","url":"https://github.com/saisrivathsa/StyleTransfer-PyTorch","rank":-6.87719456208556,"score":5,"time":"2019-01-12T10:17:35Z"},{"id":18903488,"title":"Image Style Transfer:Style transfer from famous paintings using CNNs in Pytorch","url":"https://github.com/saisrivathsa/StyleTransfer-PyTorch","rank":-6.87719456208556,"score":3,"time":"2019-01-14T15:09:33Z"},{"id":18922671,"title":"Pytorch tutorial: “What is torch.nn, really?”","url":"https://pytorch.org/tutorials/beginner/nn_tutorial.html","rank":-8.333290894816093,"score":3,"time":"2019-01-16T17:18:32Z"},{"id":18948190,"title":"OCaml bindings for PyTorch","url":"https://github.com/LaurentMazare/ocaml-torch","rank":-9.54598349169516,"score":94,"time":"2019-01-19T17:54:08Z"},{"id":18959907,"title":"PyTorch-Kaldi Speech Recognition Toolkit","url":"https://github.com/mravanelli/pytorch-kaldi","rank":-9.104350122886538,"score":1,"time":"2019-01-21T12:32:00Z"},{"id":18964044,"title":"Overview of image classification with PyTorch","url":"https://heartbeat.fritz.ai/basics-of-image-classification-with-pytorch-2f8973c51864","rank":-8.701773124615425,"score":1,"time":"2019-01-21T22:04:34Z"},{"id":18980182,"title":"PyTorch Implementation of Differentiable ODE Solvers","url":"https://github.com/rtqichen/torchdiffeq","rank":-8.701773124615425,"score":2,"time":"2019-01-23T17:15:59Z"},{"id":19011459,"title":"Writing a better code with pytorch and einops","url":"https://arogozhnikov.github.io/einops/pytorch-examples.html","rank":-7.994748098554717,"score":2,"time":"2019-01-27T12:34:39Z"},{"id":19015524,"title":"Pytorch Implementation of Deep Local Feature (DeLF)","url":"https://github.com/nashory/DeLF-pytorch","rank":-8.333290894816093,"score":2,"time":"2019-01-28T05:39:42Z"},{"id":19024933,"title":"Character Based CNNs for text classification in PyTorch and trained model+ viz","url":"https://github.com/ahmedbesbes/character-based-cnn","rank":-6.87719456208556,"score":2,"time":"2019-01-29T09:16:05Z"},{"id":19024940,"title":"Introduction to Character Based CNN and PyTorch Code and Trained Model and Viz","url":"https://www.youtube.com/watch?v=CNY8VjJt-iQ","rank":-6.644975975894096,"score":1,"time":"2019-01-29T09:17:08Z"},{"id":19047198,"title":"Applied Deep Learning with PyTorch – Full Course [video]","url":"https://www.youtube.com/watch?v=CNuI8OWsppg","rank":-7.994748098554717,"score":3,"time":"2019-01-31T18:19:47Z"},{"id":19055060,"title":"Pytorch and OpenCV Implementation of Quickdraw-Like Program","url":"https://github.com/vietnguyen91/QuickDraw","rank":-7.994748098554717,"score":4,"time":"2019-02-01T15:52:17Z"},{"id":19112715,"title":"PyTorch 1.0.1","url":"https://github.com/pytorch/pytorch/releases/tag/v1.0.1","rank":-9.54598349169516,"score":2,"time":"2019-02-08T09:34:30Z"},{"id":19126169,"title":"Stand-Alone Reinforcement Learning PPO Implementation in PyTorch","url":"http://blog.varunajayasiri.com/ml/ppo_pytorch.html","rank":-7.994748098554717,"score":4,"time":"2019-02-10T03:10:28Z"},{"id":19133028,"title":"PyTorch Implementation of a Character Based CNN for Text Classification","url":"https://github.com/ahmedbesbes/character-based-cnn","rank":-7.393981997272879,"score":1,"time":"2019-02-11T09:11:07Z"},{"id":19151455,"title":"PyTorch Original Implementation of Cross-Lingual Language Model Pretraining","url":"https://github.com/facebookresearch/XLM","rank":-7.682638287284367,"score":2,"time":"2019-02-13T08:35:42Z"},{"id":19159397,"title":"Training quantum neural networks with pytorch and tensorflow","url":"https://medium.com/xanaduai/training-quantum-neural-networks-with-pennylane-pytorch-and-tensorflow-c669108118cc","rank":-7.994748098554717,"score":5,"time":"2019-02-14T03:31:42Z"},{"id":19192062,"title":"HexagDLy – Processing Hexagonal Data with PyTorch","url":"https://github.com/ai4iacts/hexagdly","rank":-8.701773124615425,"score":11,"time":"2019-02-18T16:58:04Z"},{"id":19209775,"title":"Hugging Face Releases Pytorch-Bert, Pretrained Models and More","url":"https://medium.com/syncedreview/hugging-face-releases-pytorch-bert-pretrained-models-and-more-b8a7839e7730","rank":-7.682638287284367,"score":2,"time":"2019-02-20T17:28:18Z"},{"id":19219015,"title":"Benchmarking All 34 Keras-TensorFlow and PyTorch Pre-Trained Models","url":"http://l7.curtisnorthcutt.com/towards-reproducibility-benchmarking-keras-pytorch","rank":-7.393981997272879,"score":3,"time":"2019-02-21T18:07:38Z"},{"id":19220002,"title":"Generating Synthetic Data for Image Segmentation with Unity and PyTorch/fastai","url":"https://blog.stratospark.com/generating-synthetic-data-image-segmentation-unity-pytorch-fastai.html","rank":-7.126231333808056,"score":6,"time":"2019-02-21T19:54:06Z"},{"id":19254846,"title":"PyTorch under the hood (slides from PyData Montreal)","url":"https://speakerdeck.com/perone/pytorch-under-the-hood","rank":-7.994748098554717,"score":2,"time":"2019-02-26T15:10:24Z"},{"id":19259925,"title":"PyTorch Under the Hood","url":"https://speakerdeck.com/perone/pytorch-under-the-hood","rank":-9.54598349169516,"score":3,"time":"2019-02-27T00:52:16Z"},{"id":19263453,"title":"PyTorch Under the Hood","url":"https://speakerdeck.com/perone/pytorch-under-the-hood?slide=1","rank":-9.54598349169516,"score":3,"time":"2019-02-27T14:36:16Z"},{"id":19263566,"title":"Keras vs. PyTorch: Alien vs. Predator Recognition with Transfer Learning (2018)","url":"https://deepsense.ai/keras-vs-pytorch-avp-transfer-learning/","rank":-7.126231333808056,"score":4,"time":"2019-02-27T14:53:02Z"},{"id":19271827,"title":"Intro to Transfer Learning with PyTorch","url":"https://heartbeat.fritz.ai/transfer-learning-with-pytorch-cfcb69016c72","rank":-8.701773124615425,"score":3,"time":"2019-02-28T15:13:57Z"},{"id":19279300,"title":"Deep Learning to Federated Learning in 10 Lines of PyTorch and PySyft","url":"https://blog.openmined.org/upgrade-to-federated-learning-in-10-lines/","rank":-6.87719456208556,"score":107,"time":"2019-03-01T10:23:49Z"},{"id":19329349,"title":"Mini Course in Deep Learning with PyTorch","url":"https://github.com/Atcold/pytorch-Deep-Learning-Minicourse","rank":-8.333290894816093,"score":3,"time":"2019-03-07T16:28:43Z"},{"id":19412880,"title":"Convolutional Neural Nets in PyTorch","url":"https://blog.algorithmia.com/convolutional-neural-nets-in-pytorch/","rank":-9.104350122886538,"score":1,"time":"2019-03-17T08:19:09Z"},{"id":19431436,"title":"Fast LSTMs in PyTorch","url":"https://lernapparat.de/fast-lstm-pytorch/","rank":-9.54598349169516,"score":34,"time":"2019-03-19T15:04:07Z"},{"id":19433343,"title":"Getting Started with Natural Language Processing Using Pytorch","url":"https://blog.exxactcorp.com/getting-started-with-natural-language-processing-using-pytorch/","rank":-7.994748098554717,"score":2,"time":"2019-03-19T17:46:08Z"},{"id":19448676,"title":"A Pytorch Implementation of Neural Speech Synthesis with Transformer Network","url":"https://github.com/soobinseo/Transformer-TTS","rank":-7.393981997272879,"score":3,"time":"2019-03-21T01:56:06Z"},{"id":19498057,"title":"Show HN: lineflow – Simple NLP Data Loader for PyTorch, etc.","url":"https://github.com/yasufumy/lineflow","rank":-7.393981997272879,"score":5,"time":"2019-03-27T03:53:49Z"},{"id":19510831,"title":"Pytorch-NLP Documentation","url":"https://pytorchnlp.readthedocs.io/en/latest/","rank":-10.032646621485735,"score":1,"time":"2019-03-28T10:24:04Z"},{"id":19521630,"title":"Learn PyTorch on GPUs for Free via Google Colaboratory","url":"https://twitter.com/PyTorch/status/1111300971584466944","rank":-7.682638287284367,"score":2,"time":"2019-03-29T13:48:22Z"},{"id":19543032,"title":"6 Month Growth Scores: TensorFlow vs. PyTorch – Which Is Growing Fastest?","url":"https://bit.ly/2UaEjCq","rank":-7.126231333808056,"score":1,"time":"2019-04-01T13:33:39Z"},{"id":19545271,"title":"Pytorch-Lightning","url":"https://www.producthunt.com/posts/pytorch-lightning","rank":-10.571596455451935,"score":1,"time":"2019-04-01T16:46:26Z"},{"id":19554469,"title":"Open-sourcing PyTorch-BigGraph for faster embeddings of extremely large graphs","url":"https://ai.facebook.com/blog/open-sourcing-pytorch-biggraph-for-faster-embeddings-of-extremely-large-graphs","rank":-7.126231333808056,"score":86,"time":"2019-04-02T14:33:00Z"},{"id":19562181,"title":"Facebook releases PyTorch BigGraph","url":"https://github.com/facebookresearch/PyTorch-BigGraph","rank":-9.54598349169516,"score":2,"time":"2019-04-03T10:21:35Z"},{"id":19562933,"title":"Open-sourcing PyTorch-BigGrapgh: Faster embeddings of extremely large graphs","url":"https://code.fb.com/open-source/pytorch-biggraph/","rank":-7.393981997272879,"score":2,"time":"2019-04-03T13:03:34Z"},{"id":19563065,"title":"PyTorch BigGraph","url":"https://medium.com/@jrodthoughts/introducing-pytorch-biggraph-4aeaec1559ec","rank":-10.571596455451935,"score":1,"time":"2019-04-03T13:19:48Z"},{"id":19570886,"title":"PyTorch BigGraph, AI Talent Report, Math Q&A, AI Business School, Chat Intent","url":"https://medium.com/dair-ai/pytorch-biggraph-ai-talent-report-math-q-a-ai-business-school-chat-intent-tumor-segmentation-8f377a19249f","rank":-6.644975975894096,"score":4,"time":"2019-04-04T11:13:12Z"},{"id":19606394,"title":"A Tutorial Introduction to Privacy-Centric Deep Learning in PyTorch","url":"https://blog.exxactcorp.com/a-tutorial-introduction-to-privacy-centric-deep-learning/","rank":-7.393981997272879,"score":3,"time":"2019-04-08T16:00:01Z"},{"id":19615469,"title":"Facebook AI Open-Sources PyTorch-BigGraph Tool for ‘Extremely Large’ Graphs","url":"https://medium.com/syncedreview/facebook-ai-open-sources-pytorch-biggraph-tool-for-extremely-large-graphs-3b741b270693","rank":-7.126231333808056,"score":2,"time":"2019-04-09T15:15:04Z"},{"id":19619360,"title":"Pytorch GAN Zoo: A GAN Toolbox for Researchers and Developers – FB AI","url":"https://github.com/facebookresearch/pytorch_GAN_zoo","rank":-6.87719456208556,"score":3,"time":"2019-04-09T21:56:08Z"},{"id":19619976,"title":"Intel and Facebook Collaborate to Boost PyTorch CPU Performance","url":"https://software.intel.com/en-us/articles/intel-and-facebook-collaborate-to-boost-pytorch-cpu-performance","rank":-7.682638287284367,"score":1,"time":"2019-04-09T23:16:34Z"},{"id":19630518,"title":"PyTorch – Generative Adversarial Network for Text Generate","url":"https://github.com/dewmal/lyrics_gen","rank":-8.333290894816093,"score":2,"time":"2019-04-11T02:03:26Z"},{"id":19672371,"title":"Show HN: Encrypted Deep Learning Classification with PyTorch and PySyft","url":"https://blog.openmined.org/encrypted-deep-learning-classification-with-pysyft/","rank":-7.393981997272879,"score":10,"time":"2019-04-16T10:05:27Z"},{"id":19709448,"title":"Extracting knowledge from knowledge graphs using Facebook Pytorch BigGraph","url":"https://medium.com/@szelvenskiy/extracting-knowledge-from-knowledge-graphs-e5521e4861a0","rank":-7.682638287284367,"score":2,"time":"2019-04-20T22:57:00Z"},{"id":19731210,"title":"Show HN: OverBoard, Like TensorBoard but with Native Python GUI, for PyTorch","url":"https://github.com/jotaf98/overboard","rank":-6.87719456208556,"score":5,"time":"2019-04-23T18:07:53Z"},{"id":19773080,"title":"PyTorch: Train AI to play flappy bird","url":"https://www.toptal.com/deep-learning/pytorch-reinforcement-learning-tutorial","rank":-8.333290894816093,"score":2,"time":"2019-04-28T19:14:54Z"},{"id":19778227,"title":"A Beginner’s Guide on Recurrent Neural Networks with PyTorch","url":"https://blog.floydhub.com/a-beginners-guide-on-recurrent-neural-networks-with-pytorch/","rank":-7.393981997272879,"score":1,"time":"2019-04-29T13:38:39Z"},{"id":19778611,"title":"Show HN: Lego-like text data preprocessor for NLP model (TensorFlow/PyTorch)","url":"https://github.com/chakki-works/chariot#build--run-preprocess","rank":-6.87719456208556,"score":3,"time":"2019-04-29T14:27:20Z"},{"id":19781787,"title":"Monitoring PyTorch Experiments","url":"https://www.wandb.com/blog/monitor-your-pytorch-models-with-five-extra-lines-of-code","rank":-10.032646621485735,"score":3,"time":"2019-04-29T19:30:36Z"},{"id":19782179,"title":"Stochastic Weight Averaging in PyTorch","url":"https://pytorch.org/blog/stochastic-weight-averaging-in-pytorch/","rank":-9.104350122886538,"score":4,"time":"2019-04-29T20:15:09Z"},{"id":19792265,"title":"Show HN: A Higher-Order Graph Convolutional Layer, NeurIPS 2018 (PyTorch)","url":"https://github.com/benedekrozemberczki/NGCN","rank":-7.126231333808056,"score":9,"time":"2019-04-30T21:42:30Z"},{"id":19793425,"title":"PyTorch 1.1","url":"https://github.com/pytorch/pytorch/releases/tag/v1.1.0","rank":-10.032646621485735,"score":43,"time":"2019-05-01T00:33:33Z"},{"id":19796502,"title":"Reinventing the Wheel: Discovering the Optimal Rolling Shape with PyTorch","url":"http://blog.benwiener.com/programming/2019/04/29/reinventing-the-wheel.html","rank":-7.393981997272879,"score":2,"time":"2019-05-01T12:39:56Z"},{"id":19800044,"title":"Show HN: Capsule Graph Neural Network, ICLR 2019 (PyTorch)","url":"https://github.com/benedekrozemberczki/CapsGNN","rank":-7.682638287284367,"score":1,"time":"2019-05-01T18:18:57Z"},{"id":19800264,"title":"BoTorch: Bayesian Optimization in PyTorch","url":"https://www.botorch.org","rank":-9.104350122886538,"score":6,"time":"2019-05-01T18:39:19Z"},{"id":19808040,"title":"Show HN: Signed Graph Convolutional Network, ICDM 2018 (PyTorch)","url":"https://github.com/benedekrozemberczki/SGCN","rank":-7.682638287284367,"score":4,"time":"2019-05-02T14:08:22Z"},{"id":19809565,"title":"Bayesian Optimization in PyTorch","url":"https://github.com/pytorch/botorch","rank":-9.54598349169516,"score":2,"time":"2019-05-02T16:22:31Z"},{"id":19809815,"title":"AI Facebook F8 – Self-Supervision, Fairness, Inclusivity and PyTorch 1.1","url":"https://medium.com/syncedreview/ai-facebook-f8-self-supervision-fairness-inclusivity-and-pytorch-1-1-3951ce45872a","rank":-7.126231333808056,"score":2,"time":"2019-05-02T16:45:53Z"},{"id":19816587,"title":"A Pytorch Implementation of Attentive Neural Process","url":"https://github.com/soobinseo/Attentive-Neural-Process","rank":-8.333290894816093,"score":3,"time":"2019-05-03T08:30:24Z"},{"id":19819918,"title":"Pytorch, Michelangelo PyML, Decision Trees and Webscraping – Python in Motion","url":"https://www.coriers.com/10-amazing-articles-on-python-programming-and-machine-learning-week-2/","rank":-7.393981997272879,"score":2,"time":"2019-05-03T16:38:42Z"},{"id":19837373,"title":"Show HN: Graph Wavelet Neural Network, ICLR 2019 (PyTorch)","url":"https://github.com/benedekrozemberczki/GraphWaveletNeuralNetwork","rank":-7.682638287284367,"score":6,"time":"2019-05-06T07:02:16Z"},{"id":19848898,"title":"Show HN: A Neural Network for Graph Similarity Computation WSDM'19 (PyTorch)","url":"https://github.com/benedekrozemberczki/SimGNN","rank":-6.87719456208556,"score":3,"time":"2019-05-07T12:54:37Z"},{"id":19857510,"title":"PyTorch for TPUs","url":"https://github.com/pytorch/xla","rank":-10.032646621485735,"score":2,"time":"2019-05-08T10:26:36Z"},{"id":19869737,"title":"A Beginner’s Guide on Recurrent Neural Networks with PyTorch","url":"https://blog.floydhub.com/a-beginners-guide-on-recurrent-neural-networks-with-pytorch/","rank":-7.393981997272879,"score":2,"time":"2019-05-09T16:34:27Z"},{"id":19877217,"title":"Reinventing the Wheel: Discovering the Optimal Rolling Shape with PyTorch","url":"http://blog.benwiener.com/programming/2019/04/29/reinventing-the-wheel.html","rank":-7.393981997272879,"score":2,"time":"2019-05-10T12:50:38Z"},{"id":19900362,"title":"Show HN: Graph Classification Using Structural Attention, KDD 2018 (PyTorch)","url":"https://github.com/benedekrozemberczki/GAM","rank":-7.393981997272879,"score":2,"time":"2019-05-13T15:39:39Z"},{"id":19908700,"title":"Tutorial: PyTorch Federated Learning on Raspberry Pi","url":"https://blog.openmined.org/federated-learning-of-a-rnn-on-raspberry-pis?hn=1","rank":-8.333290894816093,"score":2,"time":"2019-05-14T12:01:55Z"},{"id":19920003,"title":"PyTorch Under the Hood [slides]","url":"https://speakerdeck.com/perone/pytorch-under-the-hood?slide=0","rank":-9.104350122886538,"score":1,"time":"2019-05-15T14:56:19Z"},{"id":19931990,"title":"Pywick: High-level neural network training library for Pytorch","url":"https://github.com/achaiah/pywick","rank":-7.682638287284367,"score":1,"time":"2019-05-16T19:07:41Z"},{"id":19944523,"title":"PyTorch internals","url":"http://blog.ezyang.com/2019/05/pytorch-internals/","rank":-10.571596455451935,"score":179,"time":"2019-05-17T23:22:53Z"},{"id":19970264,"title":"Optimizing Steering Car Paths with PyTorch","url":"http://blog.benwiener.com/programming/2019/05/14/steering-car.html","rank":-8.701773124615425,"score":1,"time":"2019-05-21T14:07:55Z"},{"id":19992256,"title":"Teaching a Car to Drive with PyTorch and Trajectory Optimization","url":"http://blog.benwiener.com/programming/2019/05/14/steering-car.html","rank":-7.393981997272879,"score":1,"time":"2019-05-23T14:48:36Z"},{"id":20056166,"title":"Integrating the TVM Deep Learning Compiler into PyTorch","url":"https://tvm.ai/2019/05/30/pytorch-frontend","rank":-7.994748098554717,"score":18,"time":"2019-05-30T21:40:16Z"},{"id":20081574,"title":"Show HN: Predict Then Propagate, ICLR 2019 (PyTorch)","url":"https://github.com/benedekrozemberczki/APPNP","rank":-7.994748098554717,"score":2,"time":"2019-06-03T09:22:23Z"},{"id":20114832,"title":"Collection of Deep Learning Models for TensorFlow/PyTorch in Jupyter Notebooks","url":"https://github.com/rasbt/deeplearning-models","rank":-7.126231333808056,"score":2,"time":"2019-06-06T14:24:56Z"},{"id":20129911,"title":"Writing a Toy Back End Compiler for PyTorch","url":"https://jott.live/markdown/Writing%20a%20Toy%20Backend%20Compiler%20for%20PyTorch","rank":-7.994748098554717,"score":3,"time":"2019-06-08T01:00:02Z"},{"id":20142306,"title":"U-Net implementation in PyTorch for brain MRI segmentation – data and weights","url":"https://github.com/mateuszbuda/brain-segmentation-pytorch","rank":-6.87719456208556,"score":2,"time":"2019-06-09T22:21:39Z"},{"id":20144016,"title":"PyTorch-BigGraph: a large-scale graph embedding system","url":"https://blog.acolyer.org/2019/06/10/pytorch-biggraph/","rank":-7.994748098554717,"score":4,"time":"2019-06-10T05:01:35Z"},{"id":20149439,"title":"Towards Reproducible Research with PyTorch Hub","url":"https://pytorch.org/blog/towards-reproducible-research-with-pytorch-hub/","rank":-8.701773124615425,"score":109,"time":"2019-06-10T18:32:01Z"},{"id":20156696,"title":"New Facebook PyTorch Hub Facilitates Reproducibility Testing","url":"https://medium.com/syncedreview/new-facebook-pytorch-hub-facilitates-reproducibility-testing-795b835537b1","rank":-8.333290894816093,"score":1,"time":"2019-06-11T16:08:08Z"},{"id":20175576,"title":"New Facebook PyTorch Hub Facilitates Reproducibility Testing","url":"https://syncedreview.com/2019/06/11/new-facebook-pytorch-hub-facilitates-reproducibility-testing/","rank":-8.333290894816093,"score":1,"time":"2019-06-13T15:07:04Z"},{"id":20178029,"title":"U-Net for Brain MRI Segmentation on PyTorch Hub","url":"https://pytorch.org/hub/mateuszbuda_brain-segmentation-pytorch_unet/","rank":-7.682638287284367,"score":3,"time":"2019-06-13T19:49:58Z"},{"id":20178543,"title":"PyTorch Tutorial Series: Graphs, Automatic Differentiation and Autograd","url":"https://blog.paperspace.com/pytorch-101-understanding-graphs-and-automatic-differentiation/","rank":-7.994748098554717,"score":1,"time":"2019-06-13T21:01:55Z"},{"id":20190551,"title":"Show HN: Brancher – A user-friendly PyTorch module for probabilistic inference","url":"https://brancher.org/","rank":-7.126231333808056,"score":96,"time":"2019-06-15T15:53:59Z"},{"id":20190956,"title":"Long Short-Term Memory: From Zero to Hero with PyTorch","url":"https://blog.floydhub.com/long-short-term-memory-from-zero-to-hero-with-pytorch/","rank":-7.393981997272879,"score":1,"time":"2019-06-15T17:15:04Z"},{"id":20225722,"title":"LSTM with PyTorch","url":"https://blog.floydhub.com/long-short-term-memory-from-zero-to-hero-with-pytorch/","rank":-10.032646621485735,"score":3,"time":"2019-06-19T18:19:34Z"},{"id":20236912,"title":"Pastiche: A PyTorch Implementation of Neural Style Transfer","url":"https://github.com/dstein64/pastiche","rank":-7.994748098554717,"score":2,"time":"2019-06-20T20:19:42Z"},{"id":20246894,"title":"Building a CIFAR classifier neural network with PyTorch","url":"https://blog.paperspace.com/pytorch-101-building-neural-networks/","rank":-7.994748098554717,"score":2,"time":"2019-06-21T22:49:19Z"},{"id":20261523,"title":"Quora Insincere Questions Classification: Two Notebook Tutorials in PyTorch","url":"https://github.com/ahmedbesbes/Quora-Insincere-Questions-Classification","rank":-7.682638287284367,"score":2,"time":"2019-06-24T08:31:52Z"},{"id":20262022,"title":"Show HN: A PyTorch Implementation of Cluster-GCN (KDD 19)","url":"https://github.com/benedekrozemberczki/ClusterGCN","rank":-7.393981997272879,"score":2,"time":"2019-06-24T10:30:48Z"},{"id":20263312,"title":"How to Transfer a Simple Keras Model to PyTorch – The Hard Way","url":"https://gereshes.com/2019/06/24/how-to-transfer-a-simple-keras-model-to-pytorch-the-hard-way/","rank":-6.87719456208556,"score":2,"time":"2019-06-24T13:26:25Z"},{"id":20312088,"title":"Multi-Class Image Classification Using CNN over PyTorch, and the Basics of CNN","url":"https://medium.com/@thevatsalsaglani/multi-class-image-classification-using-cnn-over-pytorch-and-the-basics-of-cnn-fdf425a11dc0","rank":-6.644975975894096,"score":2,"time":"2019-06-29T11:59:55Z"},{"id":20318539,"title":"Show HN: Using an ImageNet-pretrained image classification model in PyTorch","url":"https://colab.research.google.com/github/stared/thinking-in-tensors-writing-in-pytorch/blob/master/extra/Using%20an%20ImageNet-pretrained%20model.ipynb","rank":-7.126231333808056,"score":1,"time":"2019-06-30T14:58:40Z"},{"id":20324247,"title":"Multi-Class Image Classification Using CNN over PyTorch, and the Basics of CNN","url":"https://medium.com/@thevatsalsaglani/multi-class-image-classification-using-cnn-over-pytorch-and-the-basics-of-cnn-fdf425a11dc0","rank":-6.644975975894096,"score":3,"time":"2019-07-01T11:19:42Z"},{"id":20342550,"title":"PyTorch Model Serving","url":"https://aws.amazon.com/blogs/machine-learning/deploying-pytorch-inference-with-mxnet-model-server/","rank":-10.032646621485735,"score":2,"time":"2019-07-03T08:16:05Z"},{"id":20350016,"title":"Writing a Toy Back End Compiler for PyTorch","url":"https://jott.live/markdown/Writing%20a%20Toy%20Backend%20Compiler%20for%20PyTorch","rank":-7.994748098554717,"score":1,"time":"2019-07-03T23:23:11Z"},{"id":20385328,"title":"Speedup Your CNN Using Fast Dense Feature Extraction and PyTorch","url":"https://towardsdatascience.com/speedup-your-cnn-using-fast-dense-feature-extraction-and-pytorch-dc32acbf12ef?source=friends_link&sk=4cfe17850cd2318110d642f803c0347b","rank":-7.393981997272879,"score":2,"time":"2019-07-08T18:25:24Z"},{"id":20412512,"title":"Tfpyth: Differentiable TensorFlow PyTorch Adapters","url":"https://github.com/BlackHC/TfPyTh","rank":-9.104350122886538,"score":2,"time":"2019-07-11T15:55:09Z"},{"id":20451812,"title":"Automatic Diagnosis of Knee Injuries with Deep Learning in PyTorch","url":"https://ahmedbesbes.com/automate-the-diagnosis-of-knee-injuries-with-deep-learning-part-1-an-overview-of-the-mrnet-dataset.html","rank":-7.393981997272879,"score":1,"time":"2019-07-16T17:02:10Z"},{"id":20457074,"title":"Pytorch-Transformers: An Updated PyTorch Library for NLP","url":"https://huggingface.co/pytorch-transformers/index.html","rank":-10.976307666591111,"score":2,"time":"2019-07-17T06:39:41Z"},{"id":20458022,"title":"MRI classification using PyTorch for knee injuries detection","url":"https://ahmedbesbes.com/automate-the-diagnosis-of-knee-injuries-with-deep-learning-part-1-an-overview-of-the-mrnet-dataset.html","rank":-7.994748098554717,"score":1,"time":"2019-07-17T10:29:21Z"},{"id":20458034,"title":"PyTorch Implementation of MRNet: a model for knee injury classification","url":"https://github.com/ahmedbesbes/mrnet","rank":-7.393981997272879,"score":1,"time":"2019-07-17T10:32:09Z"},{"id":20458267,"title":"Spiking Neural Network (SNN) with PyTorch","url":"https://guillaume-chevalier.com/spiking-neural-network-snn-with-pytorch-where-backpropagation-engenders-stdp-hebbian-learning/","rank":-8.701773124615425,"score":2,"time":"2019-07-17T11:24:18Z"},{"id":20486221,"title":"How to detect knee injuries from MRI exams using ConvNets in PyTorch","url":"https://ahmedbesbes.com/automate-the-diagnosis-of-knee-injuries-with-deep-learning-part-2-building-an-acl-tear-classifier.html","rank":-6.87719456208556,"score":1,"time":"2019-07-20T15:15:36Z"},{"id":20507556,"title":"Gated Recurrent Unit (GRU) with PyTorch","url":"https://blog.floydhub.com/gru-with-pytorch/","rank":-8.701773124615425,"score":4,"time":"2019-07-23T15:35:18Z"},{"id":20526051,"title":"Interest in PyTorch among researchers is growing extremely rapidly","url":"https://www.oreilly.com/ideas/one-simple-graphic-researchers-love-pytorch-and-tensorflow","rank":-7.682638287284367,"score":1,"time":"2019-07-25T15:13:23Z"},{"id":20543516,"title":"9 Tips for training lightning fast neural networks in Pytorch","url":"https://towardsdatascience.com/9-tips-for-training-lightning-fast-neural-networks-in-pytorch-8e63a502f565","rank":-7.393981997272879,"score":1,"time":"2019-07-27T18:56:12Z"},{"id":20546178,"title":"Interest in PyTorch among researchers is growing rapidly","url":"https://www.oreilly.com/ideas/one-simple-graphic-researchers-love-pytorch-and-tensorflow","rank":-7.994748098554717,"score":1,"time":"2019-07-28T06:42:17Z"},{"id":20550337,"title":"A Layman Guide to Moving from Keras to Pytorch","url":"https://mlwhiz.com/blog/2019/01/06/pytorch_keras_conversion/","rank":-7.682638287284367,"score":1,"time":"2019-07-28T23:11:26Z"},{"id":20551790,"title":"Gated Recurrent Unit (GRU) with PyTorch","url":"https://blog.floydhub.com/gru-with-pytorch/","rank":-8.701773124615425,"score":2,"time":"2019-07-29T05:44:38Z"},{"id":20570191,"title":"A Layman Guide to Moving from Keras to Pytorch","url":"https://mlwhiz.com/blog/2019/01/06/pytorch_keras_conversion/","rank":-7.682638287284367,"score":1,"time":"2019-07-30T23:15:35Z"},{"id":20586711,"title":"Gated Recurrent Unit (GRU) with PyTorch","url":"https://blog.floydhub.com/gru-with-pytorch/","rank":-8.701773124615425,"score":5,"time":"2019-08-01T18:22:36Z"},{"id":20593719,"title":"Gated Recurrent Unit (GRU) with PyTorch","url":"https://blog.floydhub.com/gru-with-pytorch/","rank":-8.701773124615425,"score":2,"time":"2019-08-02T15:27:33Z"},{"id":20596295,"title":"SpaCy PyTorch Transformers","url":"https://explosion.ai/blog/spacy-pytorch-transformers","rank":-10.032646621485735,"score":106,"time":"2019-08-02T20:23:44Z"},{"id":20613945,"title":"Encrypted Training with PyTorch and PySyft on MNIST","url":"https://blog.openmined.org/encrypted-training-on-mnist/","rank":-7.994748098554717,"score":23,"time":"2019-08-05T13:21:20Z"},{"id":20621579,"title":"Distill Transfer Learning and Fitting any PyTorch Module using just one line","url":"https://github.com/hiredscorelabs/tamnun-ml","rank":-6.87719456208556,"score":2,"time":"2019-08-06T02:34:28Z"},{"id":20621600,"title":"Rapid research framework for PyTorch, The researcher's version of Keras","url":"https://github.com/williamFalcon/pytorch-lightning","rank":-7.126231333808056,"score":2,"time":"2019-08-06T02:38:55Z"},{"id":20626738,"title":"Image Classification with Transfer Learning and PyTorch","url":"https://stackabuse.com/image-classification-with-transfer-learning-and-pytorch/","rank":-8.333290894816093,"score":1,"time":"2019-08-06T16:32:57Z"},{"id":20629362,"title":"TensorFlow vs. PyTorch vs. Keras for Natural Language Processing","url":"https://blog.exxactcorp.com/tensorflow-vs-pytorch-vs-keras-for-nlp/","rank":-7.682638287284367,"score":1,"time":"2019-08-06T20:40:01Z"},{"id":20645836,"title":"PyTorch 1.2 Release","url":"https://github.com/pytorch/pytorch/releases/tag/v1.2.0","rank":-9.54598349169516,"score":6,"time":"2019-08-08T16:13:39Z"},{"id":20648495,"title":"Show HN: Use Julia Functions as PyTorch Operators","url":"https://github.com/bwasti/torch_julia","rank":-7.994748098554717,"score":9,"time":"2019-08-08T20:41:54Z"},{"id":20654437,"title":"From TensorFlow to PyTorch","url":"https://medium.com/huggingface/from-tensorflow-to-pytorch-265f40ef2a28","rank":-9.54598349169516,"score":2,"time":"2019-08-09T14:08:52Z"},{"id":20664203,"title":"Gated Recurrent Unit (GRU) with PyTorch","url":"https://blog.floydhub.com/gru-with-pytorch/","rank":-8.701773124615425,"score":3,"time":"2019-08-10T20:00:02Z"},{"id":20679602,"title":"PyTorch 1.2 Supports Transformer and Tensorboard; Summer Hackathon Announced","url":"https://medium.com/syncedreview/pytorch-1-2-supports-transformer-and-tensorboard-summer-hackathon-announced-721fa5e4e84e","rank":-7.393981997272879,"score":5,"time":"2019-08-12T20:28:22Z"},{"id":20699566,"title":"Code Walkthrough of Bert with PyTorch for a Multilabel Classification in NLP","url":"https://engineering.wootric.com/when-bert-meets-pytorch","rank":-6.87719456208556,"score":13,"time":"2019-08-14T20:25:13Z"},{"id":20714992,"title":"Show HN: Pytorch library of NLP models has a new model: Facebook's RoBERTa","url":"https://github.com/huggingface/pytorch-transformers/releases/tag/1.1.0","rank":-6.4279275509094935,"score":5,"time":"2019-08-16T13:38:17Z"},{"id":20737024,"title":"Secure, Encrypted Federated Learning in PyTorch","url":"https://www.youtube.com/watch?v=GQzz0sHIMMA","rank":-8.701773124615425,"score":1,"time":"2019-08-19T12:10:01Z"},{"id":20748859,"title":"Facebook AI Releases XLM/MBERT PyTorch Models in 100 Languages","url":"https://medium.com/dair-ai/facebook-releases-xlm-mbert-pytorch-models-in-100-languages-518628c02a46","rank":-7.393981997272879,"score":6,"time":"2019-08-20T16:32:14Z"},{"id":20853718,"title":"A Gentle Introduction to PyTorch 1.2","url":"https://medium.com/dair-ai/pytorch-1-2-introduction-guide-f6fa9bb7597c","rank":-8.333290894816093,"score":4,"time":"2019-09-01T18:09:58Z"},{"id":20862055,"title":"Deep Learning Frameworks: PyTorch vs. TensorFlow","url":"https://www.infoworld.com/article/3433857/deep-learning-frameworks-pytorch-vs-tensorflow.html","rank":-8.701773124615425,"score":3,"time":"2019-09-02T22:02:27Z"},{"id":20863032,"title":"Show HN: PyWarm, A cleaner way to build neural networks for PyTorch","url":"https://github.com/blue-season/pywarm","rank":-6.87719456208556,"score":3,"time":"2019-09-03T01:32:52Z"},{"id":20863433,"title":"Face Recognition Using Pytorch","url":"https://github.com/timesler/facenet-pytorch","rank":-9.54598349169516,"score":119,"time":"2019-09-03T03:06:39Z"},{"id":20864790,"title":"Show HN: Pytorch Text Recognition Tool","url":"https://github.com/s3nh/pytorch-text-recognition","rank":-8.701773124615425,"score":41,"time":"2019-09-03T09:02:28Z"},{"id":20868501,"title":"Show HN: PyWarm, A cleaner way to build neural networks for PyTorch","url":"https://github.com/blue-season/pywarm","rank":-6.87719456208556,"score":1,"time":"2019-09-03T16:52:44Z"},{"id":20891619,"title":"Show HN: Rlpyt – Modular, Optimized Deep Reinforcement Learning in PyTorch","url":"https://github.com/astooke/rlpyt","rank":-7.393981997272879,"score":7,"time":"2019-09-05T23:36:44Z"},{"id":20968233,"title":"Show HN: PyWarm, the functional API to build neural networks for PyTorch","url":"https://github.com/blue-season/pywarm","rank":-6.87719456208556,"score":6,"time":"2019-09-14T01:10:27Z"},{"id":20994150,"title":"Torchmeta: A Meta-Learning Library for PyTorch","url":"https://arxiv.org/abs/1909.06576","rank":-8.333290894816093,"score":1,"time":"2019-09-17T12:30:18Z"},{"id":20995402,"title":"SpeedTorch: Library for Fastest Pinned CPU GPU Pytorch Transfer","url":"https://devpost.com/software/speedtorch-6w5unb","rank":-7.682638287284367,"score":2,"time":"2019-09-17T14:20:20Z"},{"id":20997281,"title":"Why PyTorch is the deep learning framework of the future","url":"https://heartbeat.fritz.ai/10-reasons-why-pytorch-is-the-deep-learning-framework-of-future-6788bd6b5cc2","rank":-7.393981997272879,"score":3,"time":"2019-09-17T16:45:43Z"},{"id":21001872,"title":"SpeedTorch: Pytorch library Library for fastest pinned CPU GPU transfer","url":"https://github.com/Santosh-Gupta/SpeedTorch","rank":-7.393981997272879,"score":2,"time":"2019-09-18T02:09:18Z"},{"id":21039474,"title":"PyTorch – Tensor computation with strong GPU acceleration","url":"https://pytorch.org/","rank":-8.333290894816093,"score":42,"time":"2019-09-22T03:29:43Z"},{"id":21062362,"title":"Rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch","url":"https://bair.berkeley.edu/blog/2019/09/24/rlpyt/","rank":-7.126231333808056,"score":3,"time":"2019-09-24T17:12:38Z"},{"id":21090298,"title":"Object Detection with PyTorch","url":"https://upscri.be/vg7ilp?refferer=ycombinator","rank":-9.54598349169516,"score":1,"time":"2019-09-27T10:23:52Z"},{"id":21091961,"title":"rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch","url":"http://bair.berkeley.edu/blog/2019/09/24/rlpyt/","rank":-7.126231333808056,"score":2,"time":"2019-09-27T13:51:52Z"},{"id":21118785,"title":"Linear Regression with PyTorch and Python","url":"https://heartbeat.fritz.ai/linear-regression-with-pytorch-and-python-1f87f0b390f4","rank":-8.701773124615425,"score":1,"time":"2019-09-30T19:22:48Z"},{"id":21158400,"title":"HuggingFace Implements SOTA Transformer Architectures for PyTorch&TensorFlow 2.0","url":"https://medium.com/syncedreview/hugging-face-implements-sota-transformer-architectures-for-pytorch-and-tensorflow-2-0-2e821dcb498d","rank":-7.393981997272879,"score":1,"time":"2019-10-04T15:04:49Z"},{"id":21173039,"title":"PyTorch Lightning – William Falcon (YouTube)","url":"https://www.youtube.com/watch?v=TM_jRrXYXxc&feature=youtu.be&app=desktop","rank":-9.104350122886538,"score":1,"time":"2019-10-06T16:35:26Z"},{"id":21216799,"title":"PyTorch 1.3 adds mobile, privacy, quantization, and named tensors","url":"https://ai.facebook.com/blog/pytorch-13-adds-mobile-privacy-quantization-and-named-tensors/","rank":-7.393981997272879,"score":1,"time":"2019-10-10T17:01:10Z"},{"id":21217981,"title":"PyTorch v1.3.0, Mobile support, named tensor, quantization, and more","url":"https://github.com/pytorch/pytorch/releases/tag/v1.3.0","rank":-7.126231333808056,"score":1,"time":"2019-10-10T18:57:18Z"},{"id":21218839,"title":"Facebook Debuts PyTorch 1.3 with PyTorch Mobile, Quantization, TPU Support","url":"https://medium.com/syncedreview/facebook-debuts-pytorch-1-3-with-pytorch-mobile-quantization-tpu-support-and-more-9b4fc35e5e38","rank":-10.128882577424061,"score":1,"time":"2019-10-10T20:29:00Z"},{"id":21219244,"title":"Pytorch/captum: Model interpretability and understanding for PyTorch","url":"https://github.com/pytorch/captum","rank":-10.976307666591111,"score":1,"time":"2019-10-10T21:14:21Z"},{"id":21222385,"title":"Pytorch Named Tensors","url":"https://pytorch.org/docs/stable/named_tensor.html","rank":-10.032646621485735,"score":3,"time":"2019-10-11T07:53:18Z"},{"id":21226459,"title":"OpenCV-Inspired Kornia Is a Differentiable Computer Vision Library for PyTorch","url":"https://medium.com/syncedreview/opencv-inspired-kornia-is-a-differentiable-computer-vision-library-for-pytorch-63b7c84d273d","rank":-7.126231333808056,"score":2,"time":"2019-10-11T17:23:17Z"},{"id":21240057,"title":"Deep Learning with PyTorch: A 60 Minute Blitz [video]","url":"https://pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html","rank":-7.682638287284367,"score":610,"time":"2019-10-13T12:36:15Z"},{"id":21245172,"title":"GitHub – Pytorch/Xla: Enabling PyTorch on Google TPU","url":"https://github.com/pytorch/xla","rank":-10.976307666591111,"score":8,"time":"2019-10-14T03:59:04Z"},{"id":21246276,"title":"Captum: Model Interpretability for PyTorch","url":"https://captum.ai/","rank":-9.104350122886538,"score":2,"time":"2019-10-14T08:53:30Z"},{"id":21256583,"title":"PyTorch implementation of Character Based CNN for text classification [video]","url":"https://github.com/ahmedbesbes/character-based-cnn","rank":-7.393981997272879,"score":2,"time":"2019-10-15T08:32:57Z"},{"id":21267831,"title":"Is Microsoft Hyping Pytorch","url":"https://analyticsindiamag.com/is-microsoft-hyping-pytorch/","rank":-9.54598349169516,"score":1,"time":"2019-10-16T07:08:11Z"},{"id":21270298,"title":"Detectron2: A PyTorch-based modular object detection library","url":"https://ai.facebook.com/blog/-detectron2-a-pytorch-based-modular-object-detection-library-/","rank":-7.994748098554717,"score":1,"time":"2019-10-16T13:50:54Z"},{"id":21273154,"title":"Easy to use wavelet transform for Pytorch","url":"https://www.kymat.io/","rank":-8.333290894816093,"score":2,"time":"2019-10-16T17:46:47Z"},{"id":21291774,"title":"Gem: A Great PyTorch YouTube Tutorial Series by Deeplizard","url":"https://towardsdatascience.com/hidden-gem-a-great-pytorch-youtube-tutorial-series-by-deeplizard-8de677411bc5","rank":-7.682638287284367,"score":1,"time":"2019-10-18T14:43:01Z"},{"id":21293504,"title":"Benchmarking Transformers: PyTorch and TensorFlow","url":"https://medium.com/huggingface/benchmarking-transformers-pytorch-and-tensorflow-e2917fb891c2","rank":-9.104350122886538,"score":2,"time":"2019-10-18T17:48:35Z"},{"id":21298675,"title":"Benchmarking PyTorch and TensorFlow on Many NLP Models","url":"https://medium.com/huggingface/benchmarking-transformers-pytorch-and-tensorflow-e2917fb891c2","rank":-7.994748098554717,"score":7,"time":"2019-10-19T14:29:59Z"},{"id":21312439,"title":"PyTorch Mobile: Overview of PyTorch's end-to-end mobile deployment workflow","url":"https://heartbeat.fritz.ai/pytorch-mobile-exploring-facebooks-new-mobile-machine-learning-solution-96c99efbfd58","rank":-9.874755956075473,"score":2,"time":"2019-10-21T14:12:04Z"},{"id":21314418,"title":"PyTorch Mobile First Look: Image Classification on Android","url":"https://heartbeat.fritz.ai/pytorch-mobile-image-classification-on-android-5c0cfb774c5b","rank":-7.994748098554717,"score":2,"time":"2019-10-21T16:51:03Z"},{"id":21317319,"title":"EuclideDB: Machine learning feature database tight coupled with PyTorch","url":"https://euclidesdb.readthedocs.io","rank":-7.682638287284367,"score":15,"time":"2019-10-21T21:02:07Z"},{"id":21321751,"title":"Asynchronous Federated Learning with PySyft and PyTorch","url":"https://blog.openmined.org/asynchronous-federated-learning-in-pysyft/","rank":-8.333290894816093,"score":7,"time":"2019-10-22T09:36:28Z"},{"id":21337991,"title":"Benchmarking Transformers: PyTorch and TensorFlow","url":"https://medium.com/huggingface/benchmarking-transformers-pytorch-and-tensorflow-e2917fb891c2","rank":-9.104350122886538,"score":2,"time":"2019-10-23T19:30:34Z"},{"id":21341604,"title":"Build a Fashion-Mnist CNN, PyTorch Style","url":"https://towardsdatascience.com/build-a-fashion-mnist-cnn-pytorch-style-efb297e22582?source=friends_link&sk=f5ef7e22c5e7371a3fdb1c62d722be5f","rank":-8.333290894816093,"score":4,"time":"2019-10-24T04:19:47Z"},{"id":21363460,"title":"Step by Step Guide to Using Streamlit, PyTorch and Bert on a Cheap AWS Instance","url":"https://fuzzyblog.io/blog/python/2019/10/17/a-step-by-step-guide-to-running-streamlit-pytorch-and-bert-on-a-cheap-aws-instance.html","rank":-6.224609773336247,"score":3,"time":"2019-10-26T13:16:15Z"},{"id":21387416,"title":"PyTorch Mobile: Image Classification on iOS","url":"https://heartbeat.fritz.ai/pytorch-mobile-image-classification-on-ios-c822a36ecfa9","rank":-8.701773124615425,"score":3,"time":"2019-10-29T14:18:12Z"},{"id":21407363,"title":"Streaming DataLoaders in PyTorch","url":"https://medium.com/@davidmacleodspeechmatics/how-to-build-a-streaming-dataloader-with-pytorch-a66dd891d9dd","rank":-9.54598349169516,"score":9,"time":"2019-10-31T10:44:05Z"},{"id":21420157,"title":"How to Build Your Own PyTorch Neural Network Layer from Scratch","url":"https://towardsdatascience.com/how-to-build-your-own-pytorch-neural-network-layer-from-scratch-842144d623f6?source=friends_link&sk=7bafb61e7a64fcefec038a4114563d07","rank":-7.126231333808056,"score":1,"time":"2019-11-01T15:56:47Z"},{"id":21432404,"title":"PyTorch and TensorFlow: Which ML Framework Is More Popular in Academia/Industry","url":"https://www.infoq.com/news/2019/11/State-Machine-Learning-fw-2019/","rank":-6.87719456208556,"score":3,"time":"2019-11-03T05:46:46Z"},{"id":21451736,"title":"Detection Free Human Instance Segmentation Using Pose2Seg and PyTorch","url":"https://towardsdatascience.com/detection-free-human-instance-segmentation-using-pose2seg-and-pytorch-72f48dc4d23e","rank":-7.682638287284367,"score":2,"time":"2019-11-05T12:26:22Z"},{"id":21464431,"title":"Tensorflow vs. JAX vs. Numba vs. Pytorch: HPC in Python","url":"https://github.com/dionhaefner/pyhpc-benchmarks","rank":-7.393981997272879,"score":2,"time":"2019-11-06T16:59:43Z"},{"id":21496339,"title":"Detectron2: A PyTorch-based modular object detection library","url":"https://ai.facebook.com/blog/-detectron2-a-pytorch-based-modular-object-detection-library-/","rank":-7.994748098554717,"score":70,"time":"2019-11-10T04:08:16Z"},{"id":21501163,"title":"Spiking Neural Network with PyTorch Where Backpropagation Engenders STDP","url":"https://github.com/guillaume-chevalier/Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP","rank":-7.682638287284367,"score":2,"time":"2019-11-11T00:20:46Z"},{"id":21502576,"title":"BoTorch – Bayesian Optimization in PyTorch","url":"https://botorch.org/","rank":-9.104350122886538,"score":2,"time":"2019-11-11T06:10:19Z"},{"id":21502677,"title":"PyTorch Hub","url":"https://pytorch.org/hub/","rank":-10.571596455451935,"score":2,"time":"2019-11-11T06:32:19Z"},{"id":21511938,"title":"End-to-End DL Speech Recognition Introduction with PyTorch","url":"https://github.com/NVIDIA/NeMo/blob/master/examples/asr/notebooks/1_ASR_tutorial_using_NeMo.ipynb","rank":-7.682638287284367,"score":4,"time":"2019-11-12T06:20:05Z"},{"id":21522732,"title":"Tesla Uses PyTorch","url":"https://analyticsindiamag.com/tesla-pytorch-self-driving-computer-vision-karpathy-elon-musk-ai/","rank":-10.032646621485735,"score":1,"time":"2019-11-13T10:45:57Z"},{"id":21536887,"title":"Nvidia Makes 3D Deep Learning Research Easy with Kaolin PyTorch Library","url":"https://news.developer.nvidia.com/kaolin-library-research-3d/","rank":-7.126231333808056,"score":1,"time":"2019-11-14T16:46:44Z"},{"id":21537466,"title":"Show HN: Titanic Survival Prediction in Pytorch","url":"https://github.com/skywalker212/titanic-survival-pytorch","rank":-8.333290894816093,"score":1,"time":"2019-11-14T17:40:11Z"},{"id":21546327,"title":"How to Refactor PyTorch Code into PyTorch Lightning","url":"https://medium.com/@_willfalcon/how-to-refactor-your-pytorch-code-to-get-these-42-benefits-of-pytorch-lighting-6fdd0dc97538","rank":-10.976307666591111,"score":1,"time":"2019-11-15T16:45:23Z"},{"id":21554696,"title":"Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research","url":"https://github.com/NVIDIAGameWorks/kaolin/","rank":-7.393981997272879,"score":2,"time":"2019-11-16T20:17:34Z"},{"id":21562143,"title":"Benchmarking PyTorch Quantized Models","url":"https://github.com/z-a-f/quantization_benchmarks/blob/master/README.md#current-results","rank":-9.54598349169516,"score":2,"time":"2019-11-18T05:34:04Z"},{"id":21581122,"title":"CalTech Uses PyTorch to Build Smooth Landing Drones","url":"https://analyticsindiamag.com/caltech-pytorch-deep-learning-drones-air-ambulanc/","rank":-7.994748098554717,"score":1,"time":"2019-11-20T04:34:28Z"},{"id":21601774,"title":"Deep Learning with PyTorch","url":"https://pytorch.org/deep-learning-with-pytorch","rank":-9.54598349169516,"score":183,"time":"2019-11-22T01:54:56Z"},{"id":21626506,"title":"An Implementation of 3D Ken Burns Effect from a Single Image Using PyTorch","url":"https://github.com/sniklaus/3d-ken-burns","rank":-6.644975975894096,"score":6,"time":"2019-11-25T09:02:20Z"},{"id":21626926,"title":"The Rise and Rise of PyTorch","url":"https://analyticsindiamag.com/the-rise-and-rise-of-pytorch/","rank":-8.701773124615425,"score":1,"time":"2019-11-25T10:42:43Z"},{"id":21629979,"title":"Clipper: A prediction serving system for TensorFlow, PyTorch, PySpark and others","url":"https://github.com/ucbrise/clipper","rank":-7.126231333808056,"score":13,"time":"2019-11-25T16:48:49Z"},{"id":21674908,"title":"Model Serving in Pytorch","url":"https://pytorch.org/blog/model-serving-in-pyorch/","rank":-9.54598349169516,"score":1,"time":"2019-12-01T11:06:03Z"},{"id":21675680,"title":"Converting from Keras to PyTorch Lightning","url":"https://towardsdatascience.com/converting-from-keras-to-pytorch-lightning-be40326d7b7d","rank":-8.701773124615425,"score":2,"time":"2019-12-01T14:49:12Z"},{"id":21682799,"title":"Learn How to Compile OpenCV, TensorFlow 2 and PyTorch on Jetson Nano","url":"https://pythops.com/post/compile-deeplearning-libraries-for-jetson-nano","rank":-6.87719456208556,"score":1,"time":"2019-12-02T14:53:51Z"},{"id":21710089,"title":"PyTorch – A Savior Deep Learning Framework","url":"https://www.machinelearningmindset.com/pytorch-a-savior-deep-learning-framework/","rank":-8.701773124615425,"score":2,"time":"2019-12-05T04:55:34Z"},{"id":21710556,"title":"Chainer deep learning toolkit migrates to PyTorch","url":"https://preferred.jp/en/news/pr20191205/","rank":-8.333290894816093,"score":2,"time":"2019-12-05T07:18:26Z"},{"id":21713106,"title":"Preferred Networks Migrates Its Deep Learning Research Platform to PyTorch","url":"https://preferred.jp/en/news/pr20191205/","rank":-7.393981997272879,"score":5,"time":"2019-12-05T15:28:45Z"},{"id":21713282,"title":"SparkTorch: Distributed Training of Pytorch Networks on Apache Spark","url":"https://github.com/dmmiller612/sparktorch","rank":-7.682638287284367,"score":4,"time":"2019-12-05T15:49:10Z"},{"id":21723507,"title":"Show HN: SparkTorch: Distributed Training of PyTorch Networks on Apache Spark","url":"https://github.com/dmmiller612/sparktorch","rank":-7.126231333808056,"score":4,"time":"2019-12-06T16:47:18Z"},{"id":21723647,"title":"Preferred Networks Migrates Its Deep Learning Research Platform to PyTorch","url":"https://preferred.jp/en/news/pr20191205/","rank":-7.393981997272879,"score":2,"time":"2019-12-06T16:59:02Z"},{"id":21723740,"title":"PyTorch: An Imperative Style, High-Performance Deep Learning Library [pdf]","url":"https://arxiv.org/abs/1912.01703","rank":-7.393981997272879,"score":113,"time":"2019-12-06T17:08:12Z"},{"id":21726764,"title":"Deep Learning with Pytorch pre release book [pdf]","url":"https://pytorch.org/assets/deep-learning/Deep-Learning-with-PyTorch.pdf","rank":-7.994748098554717,"score":4,"time":"2019-12-06T22:43:45Z"},{"id":21728383,"title":"PyTorch elastic training","url":"https://github.com/pytorch/elastic","rank":-10.032646621485735,"score":46,"time":"2019-12-07T04:02:48Z"},{"id":21731604,"title":"PyTorch Funds Grants for Remote, Open Source Work on AI and Privacy (Apply Now)","url":"https://pytorch.org/blog/openmined-and-pytorch-launch-fellowship-funding-for-privacy-preserving-ml/","rank":-6.4279275509094935,"score":14,"time":"2019-12-07T18:02:55Z"},{"id":21743036,"title":"Learn Deep Learning with PyTorch for Free","url":"https://analyticsindiamag.com/top-7-free-resources-to-learn-deep-learning-with-pytorch/","rank":-8.333290894816093,"score":1,"time":"2019-12-09T14:45:12Z"},{"id":21753799,"title":"Japanese Unicorn Preferred Networks Migrates Its DL Platform to PyTorch","url":"https://medium.com/syncedreview/japanese-unicorn-preferred-networks-migrates-its-dl-platform-to-pytorch-a509ac8f4ba0","rank":-7.393981997272879,"score":2,"time":"2019-12-10T16:14:52Z"},{"id":21755924,"title":"PyTorch Made Available for Rubyists","url":"https://github.com/ankane/torch-rb","rank":-9.104350122886538,"score":2,"time":"2019-12-10T19:26:03Z"},{"id":21785252,"title":"Weekly Papers – Praising PyTorch; Improving Lip Reading and More","url":"https://medium.com/syncedreview/weekly-papers-praising-pytorch-improving-lip-reading-generating-structured-text-and-more-7a0166f0489f","rank":-7.682638287284367,"score":3,"time":"2019-12-13T20:42:34Z"},{"id":21790259,"title":"Japanese Unicorn Preferred Networks Migrates Its DL Platform to PyTorch","url":"https://medium.com/syncedreview/japanese-unicorn-preferred-networks-migrates-its-dl-platform-to-pytorch-a509ac8f4ba0","rank":-7.393981997272879,"score":1,"time":"2019-12-14T16:22:38Z"},{"id":21804195,"title":"PyTorch Deep Learning Framework: Speed and Usability","url":"https://medium.com/syncedreview/pytorch-deep-learning-framework-speed-usability-2de2de400237","rank":-8.333290894816093,"score":2,"time":"2019-12-16T16:27:26Z"},{"id":21841222,"title":"Using PyTorch Models in Production with Cortex","url":"https://medium.com/pytorch/how-to-build-production-software-with-pytorch-9a8725382f2a","rank":-8.333290894816093,"score":6,"time":"2019-12-20T02:14:56Z"},{"id":21998226,"title":"Speeding up Pytorch training by 10%","url":"https://medium.com/@data.scientist/speeding-up-pytorch-training-by-10-34508a85d6e6","rank":-8.701773124615425,"score":3,"time":"2020-01-09T03:12:21Z"},{"id":22026907,"title":"Active Transfer Learning with PyTorch","url":"https://medium.com/pytorch/active-transfer-learning-with-pytorch-71ed889f08c1","rank":-9.104350122886538,"score":3,"time":"2020-01-12T16:05:39Z"},{"id":22035230,"title":"Acceleration of Non-Linear Minimisation with PyTorch (2018)","url":"https://arxiv.org/abs/1805.07439","rank":-7.994748098554717,"score":3,"time":"2020-01-13T15:28:16Z"},{"id":22061894,"title":"PyTorch 1.4: Custom mobile builds, distributed model parallel, Java bindings","url":"https://github.com/pytorch/pytorch/releases/tag/v1.4.0","rank":-7.126231333808056,"score":39,"time":"2020-01-16T05:22:48Z"},{"id":22063073,"title":"PyTorch Architecture","url":"http://www.bnikolic.co.uk/blog/pytorch/2019/09/20/pytorch-arch-pt1.html","rank":-10.571596455451935,"score":2,"time":"2020-01-16T09:54:14Z"},{"id":22068388,"title":"Pytorch 1.4","url":"https://github.com/pytorch/pytorch/releases","rank":-10.032646621485735,"score":3,"time":"2020-01-16T20:13:33Z"},{"id":22107229,"title":"Quick Primer on Distributed Training with PyTorch","url":"https://medium.com/@himanshu.grover/quick-primer-on-distributed-training-with-pytorch-ad362d8aa032","rank":-8.333290894816093,"score":1,"time":"2020-01-21T14:37:32Z"},{"id":22164480,"title":"Efficient, reusable components for 3D computer vision research with PyTorch","url":"https://github.com/facebookresearch/pytorch3d","rank":-7.393981997272879,"score":1,"time":"2020-01-27T22:24:11Z"},{"id":22170428,"title":"Is PyTorch Catching TensorFlow? The State of Deep Learning Frameworks in 2020","url":"https://towardsdatascience.com/is-pytorch-catching-tensorflow-ca88f9128304","rank":-6.87719456208556,"score":4,"time":"2020-01-28T15:48:55Z"},{"id":22193029,"title":"Standardizing OpenAI’s deep learning framework on PyTorch","url":"https://openai.com/blog/openai-pytorch/","rank":-7.994748098554717,"score":242,"time":"2020-01-30T17:08:47Z"},{"id":22206710,"title":"OpenAI goes all-in on Facebook's Pytorch machine learning framework","url":"https://venturebeat.com/2020/01/30/openai-facebook-pytorch-google-tensorflow/","rank":-7.126231333808056,"score":2,"time":"2020-01-31T22:45:12Z"},{"id":22255466,"title":"PyTorch has become the hottest product in data science","url":"https://www.infoworld.com/article/3518453/interested-in-machine-learning-better-learn-pytorch.html","rank":-7.682638287284367,"score":2,"time":"2020-02-06T12:18:43Z"},{"id":22256864,"title":"Understanding PyTorch with an example: a step-by-step tutorial","url":"https://towardsdatascience.com/understanding-pytorch-with-an-example-a-step-by-step-tutorial-81fc5f8c4e8e","rank":-7.393981997272879,"score":4,"time":"2020-02-06T15:47:33Z"},{"id":22288329,"title":"Training a Generative Adverserial Network from Scratch in PyTorch","url":"https://medium.com/jovianml/generative-adverserial-networks-gans-from-scratch-in-pytorch-ad48256458a7","rank":-7.682638287284367,"score":3,"time":"2020-02-10T11:54:23Z"},{"id":22295589,"title":"Skorch – A scikit-learn compatible neural network library that wraps PyTorch","url":"https://skorch.readthedocs.io/en/latest/","rank":-7.126231333808056,"score":3,"time":"2020-02-11T02:53:33Z"},{"id":22338833,"title":"Rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch","url":"https://rlpyt.readthedocs.io/en/latest/","rank":-7.126231333808056,"score":25,"time":"2020-02-15T23:44:33Z"},{"id":22353670,"title":"Pytorch Alpine: A small PyTorch container in Alpine Linux","url":"https://github.com/petronetto/pytorch-alpine","rank":-10.678504733356567,"score":3,"time":"2020-02-18T05:17:34Z"},{"id":22364947,"title":"OpenAI Chooses PyTorch","url":"https://medium.com/@pchojecki/pytorch-as-a-new-standard-for-openai-9ff90f4aee37","rank":-10.032646621485735,"score":1,"time":"2020-02-19T12:44:26Z"},{"id":22388073,"title":"Jupyter Tutorial – Privacy-Preserving Deep Learning in PyTorch – Now Translated","url":"https://github.com/OpenMined/PySyft/tree/master/examples/tutorials/translations","rank":-7.393981997272879,"score":2,"time":"2020-02-21T23:29:03Z"},{"id":22391325,"title":"Sign Language Recognition with Deep Learning and PyTorch","url":"https://theaisummer.com/Sign-Language-Recognition-with-PyTorch/","rank":-7.994748098554717,"score":3,"time":"2020-02-22T15:01:19Z"},{"id":22395497,"title":"Show HN: JAI: A Lego-Style Deep Learning Library on PyTorch","url":"https://github.com/gengjia0214/jai","rank":-7.126231333808056,"score":4,"time":"2020-02-23T06:39:49Z"},{"id":22419901,"title":"Show HN: PyTorch C++ Tutorials from Beginner to Advanced","url":"https://github.com/prabhuomkar/pytorch-cpp","rank":-7.682638287284367,"score":4,"time":"2020-02-26T03:04:42Z"},{"id":22432209,"title":"You can now run PyTorch code on TPUs trivially","url":"https://twitter.com/PyTorchLightnin/status/1232813118507692033","rank":-7.682638287284367,"score":2,"time":"2020-02-27T10:45:07Z"},{"id":22434295,"title":"8 Creators and Core Contributors Talk About Their PyTorch Model Training Libs","url":"https://neptune.ai/blog/model-training-libraries-pytorch-ecosystem","rank":-6.87719456208556,"score":3,"time":"2020-02-27T15:51:58Z"},{"id":22464382,"title":"Distributed TF/PyTorch/OpenVINO Inference with a Simple Pub/Sub API","url":"https://analytics-zoo.github.io/master/#ClusterServingGuide/ProgrammingGuide/","rank":-7.126231333808056,"score":3,"time":"2020-03-02T13:51:58Z"},{"id":22465848,"title":"A PyTorch-based knowledge distillation toolkit for natural language processing","url":"https://github.com/airaria/TextBrewer","rank":-7.393981997272879,"score":3,"time":"2020-03-02T16:31:24Z"},{"id":22478801,"title":"Higher: A pytorch library for meta-learning and differentiable optimization","url":"https://github.com/facebookresearch/higher/","rank":-7.393981997272879,"score":3,"time":"2020-03-03T21:17:36Z"},{"id":22500588,"title":"Why are Scikit-Learn pipelines not as widely used as TensorFlow or PyTorch?","url":"https://qr.ae/pNtGWA","rank":-6.644975975894096,"score":1,"time":"2020-03-06T02:43:38Z"},{"id":22529209,"title":"Faster RNNs in PyTorch and TensorFlow with Haste 0.3.0","url":"https://github.com/lmnt-com/haste","rank":-7.126231333808056,"score":3,"time":"2020-03-09T20:07:43Z"},{"id":22533844,"title":"From PyTorch to JAX: towards neural net frameworks that purify stateful code","url":"https://sjmielke.com/jax-purify.htm","rank":-6.87719456208556,"score":5,"time":"2020-03-10T08:53:37Z"},{"id":22538596,"title":"PyTorch and Cloud TPU and Colab: a set of code pointers to get you started","url":"http://bit.ly/3384Ilw","rank":-6.224609773336247,"score":1,"time":"2020-03-10T19:17:28Z"},{"id":22547992,"title":"Node.js Binding for PyTorch","url":"https://github.com/torch-js/torch-js","rank":-9.104350122886538,"score":3,"time":"2020-03-11T17:38:09Z"},{"id":22548774,"title":"Pytorch Implementation of MixNMatch","url":"https://github.com/Yuheng-Li/MixNMatch","rank":-9.54598349169516,"score":4,"time":"2020-03-11T18:32:58Z"},{"id":22578643,"title":"DeepRobust- Pytorch Library for adversarial attack and defense in deep learning","url":"https://github.com/DSE-MSU/DeepRobust/#","rank":-7.126231333808056,"score":12,"time":"2020-03-14T20:59:31Z"},{"id":22604620,"title":"Installing PyTorch on a Raspberry Pi-3B+ (2020 update)","url":"https://www.spinellis.gr/blog/20200317/","rank":-7.682638287284367,"score":4,"time":"2020-03-17T13:23:05Z"},{"id":22642312,"title":"Show HN: Livelossplot – Keras and PyTorch training charts in Jupyter Notebook","url":"https://github.com/stared/livelossplot","rank":-7.126231333808056,"score":3,"time":"2020-03-20T22:25:29Z"},{"id":22661844,"title":"Introduction to Captum – A model interpretability library for PyTorch","url":"https://medium.com/pytorch/introduction-to-captum-a-model-interpretability-library-for-pytorch-d236592d8afa","rank":-7.682638287284367,"score":1,"time":"2020-03-23T07:09:55Z"},{"id":22662262,"title":"The Python Magic Behind PyTorch","url":"https://amitness.com/2020/03/python-magic-behind-pytorch/","rank":-9.104350122886538,"score":1,"time":"2020-03-23T09:05:19Z"},{"id":22668713,"title":"Adam Paszke (PyTorch) Joins Google","url":"https://twitter.com/apaszke/status/1242158913228849155","rank":-9.104350122886538,"score":2,"time":"2020-03-23T21:03:03Z"},{"id":22697208,"title":"Introduction to Quantization on PyTorch","url":"https://pytorch.org/blog/introduction-to-quantization-on-pytorch/","rank":-9.104350122886538,"score":2,"time":"2020-03-26T19:48:18Z"},{"id":22700200,"title":"China's Deep learning AI framework to compete with TensorFlow and Pytorch","url":"https://www.scmp.com/tech/start-ups/article/3077023/megvii-makes-deep-learning-ai-framework-open-source-china-moves","rank":-6.87719456208556,"score":3,"time":"2020-03-27T03:24:47Z"},{"id":22706407,"title":"Debugging Neural Networks with PyTorch and 'Weights and Biases'","url":"https://app.wandb.ai/ayush-thakur/debug-neural-nets/reports/Debugging-Neural-Networks-with-PyTorch-and-W%26B--Vmlldzo2OTUzNA","rank":-7.682638287284367,"score":2,"time":"2020-03-27T20:16:17Z"},{"id":22717573,"title":"Torchlayers: Shape Inference for PyTorch","url":"https://github.com/szymonmaszke/torchlayers","rank":-9.104350122886538,"score":2,"time":"2020-03-29T09:36:55Z"},{"id":22719047,"title":"Show HN: Toggleable type/shape checking for numpy, pytorch, and TensorFlow","url":"https://github.com/brendanxwhitaker/asta","rank":-7.126231333808056,"score":5,"time":"2020-03-29T14:01:37Z"},{"id":22754046,"title":"Labeling-in-the-Loop Deep Learning with PyTorch and Scale AI","url":"https://medium.com/pytorch/training-faster-with-large-datasets-using-scale-and-pytorch-946dfe774d8c","rank":-7.126231333808056,"score":6,"time":"2020-04-01T22:11:26Z"},{"id":22765075,"title":"3D medical image segmentation with PyTorch","url":"https://theaisummer.com/medical-image-deep-learning/","rank":-8.701773124615425,"score":1,"time":"2020-04-02T23:52:40Z"},{"id":22774985,"title":"Show HN: Mimicry: A PyTorch Library for Reproducibility in GAN Research","url":"https://github.com/kwotsin/mimicry","rank":-7.126231333808056,"score":2,"time":"2020-04-03T23:42:54Z"},{"id":22782863,"title":"Labeling-in-the-Loop ML with PyTorch and Scale AI","url":"https://link.medium.com/Eh1A7grmq5","rank":-7.393981997272879,"score":1,"time":"2020-04-05T01:03:35Z"},{"id":22784946,"title":"Deep learning in medical imaging – 3D medical image segmentation with PyTorch","url":"https://theaisummer.com/medical-image-deep-learning/","rank":-7.126231333808056,"score":3,"time":"2020-04-05T10:57:17Z"},{"id":22794490,"title":"Make ML Model Deplyment less painful: Setup Sagemaker Local Mode and PyTorch","url":"https://booklet.ai/blog/aws-sagemaker-pytorch-local-dev-flow/","rank":-6.87719456208556,"score":3,"time":"2020-04-06T15:19:21Z"},{"id":22804626,"title":"Faster and Cheaper PyTorch with RaySGD","url":"https://medium.com/distributed-computing-with-ray/faster-and-cheaper-pytorch-with-raysgd-a5a44d4fd220","rank":-8.701773124615425,"score":2,"time":"2020-04-07T16:23:25Z"},{"id":22841528,"title":"Show HN: Capsule Graph Neural Network (PyTorch)","url":"https://github.com/benedekrozemberczki/capsgnn","rank":-8.333290894816093,"score":3,"time":"2020-04-11T13:19:55Z"},{"id":22847289,"title":"Show HN: Watch Your Step: Learning Node Embeddings via Graph Attention (PyTorch)","url":"https://github.com/benedekrozemberczki/AttentionWalk","rank":-6.87719456208556,"score":2,"time":"2020-04-12T10:45:56Z"},{"id":22866070,"title":"Show HN: MixHop: Higher-Order Graph Convolutional Architectures (PyTorch)","url":"https://github.com/benedekrozemberczki/MIXHOP-AND-N-GCN","rank":-7.682638287284367,"score":3,"time":"2020-04-14T14:02:03Z"},{"id":22873115,"title":"Extracting knowledge from knowledge graphs using Facebook Pytorch BigGraph","url":"https://towardsdatascience.com/extracting-knowledge-from-knowledge-graphs-e5521e4861a0","rank":-7.682638287284367,"score":2,"time":"2020-04-15T00:31:19Z"},{"id":22879059,"title":"Show HN: A PyTorch Implementation of Cluster-GCN","url":"https://github.com/benedekrozemberczki/CLuSterGCN","rank":-7.994748098554717,"score":3,"time":"2020-04-15T15:40:57Z"},{"id":22882436,"title":"PyTorch TensorIterator Internals","url":"http://labs.quansight.org/blog/2020/04/pytorch-tensoriterator-internals/","rank":-10.032646621485735,"score":2,"time":"2020-04-15T20:09:54Z"},{"id":22882511,"title":"Homomorphic Encryption in PySyft with Seal and PyTorch","url":"https://blog.openmined.org/ckks-homomorphic-encryption-pytorch-pysyft-seal/","rank":-7.994748098554717,"score":1,"time":"2020-04-15T20:16:29Z"},{"id":22899107,"title":"Building an end-to-end Speech Recognition model in PyTorch","url":"https://www.assemblyai.com/blog/end-to-end-speech-recognition-pytorch","rank":-7.393981997272879,"score":288,"time":"2020-04-17T14:11:33Z"},{"id":22902877,"title":"Detecto – An object detection library for PyTorch","url":"https://medium.com/pytorch/detecto-build-and-train-object-detection-models-with-pytorch-5f31b68a8109","rank":-8.333290894816093,"score":2,"time":"2020-04-17T20:52:47Z"},{"id":22909233,"title":"Show HN: Signed Graph Convolutional Network (PyTorch)","url":"https://github.com/benedekrozemberczki/SGCN","rank":-8.333290894816093,"score":2,"time":"2020-04-18T17:18:10Z"},{"id":22918341,"title":"Active Learning with PyTorch Using Scale","url":"https://medium.com/pytorch/training-faster-with-large-datasets-using-scale-and-pytorch-946dfe774d8c#hn1","rank":-8.701773124615425,"score":2,"time":"2020-04-19T19:58:52Z"},{"id":22923990,"title":"Show HN: Graph classification using structural attention (PyTorch)","url":"https://github.com/benedekrozemberczki/GAM","rank":-7.994748098554717,"score":2,"time":"2020-04-20T14:19:56Z"},{"id":22936690,"title":"TorchServe: Model Serving Library for PyTorch","url":"https://github.com/pytorch/serve","rank":-8.701773124615425,"score":8,"time":"2020-04-21T16:50:21Z"},{"id":22937076,"title":"AWS and Facebook launch an open-source model server for PyTorch","url":"https://aws.amazon.com/blogs/aws/announcing-torchserve-an-open-source-model-server-for-pytorch/","rank":-7.126231333808056,"score":46,"time":"2020-04-21T17:26:41Z"},{"id":22937354,"title":"TorchServe: a PyTorch model serving framework","url":"https://aws.amazon.com/about-aws/whats-new/2020/04/introducing-torchserve/","rank":-8.701773124615425,"score":4,"time":"2020-04-21T17:46:59Z"},{"id":22937361,"title":"TorchServe and TorchElastic-Kubernetes, PyTorch libs for serving and training","url":"https://medium.com/pytorch/torchserve-and-torchelastic-for-kubernetes-new-pytorch-libraries-for-serving-and-training-models-2efd12e09adc","rank":-7.393981997272879,"score":5,"time":"2020-04-21T17:47:50Z"},{"id":22937533,"title":"AWS and Facebook launch an open-source model server for PyTorch","url":"https://techcrunch.com/2020/04/21/aws-and-facebook-launch-an-open-source-model-server-for-pytorch/","rank":-7.126231333808056,"score":2,"time":"2020-04-21T18:00:55Z"},{"id":22940079,"title":"Pytorch 1.5","url":"https://github.com/pytorch/pytorch/releases","rank":-10.032646621485735,"score":1,"time":"2020-04-21T22:36:29Z"},{"id":22941610,"title":"Model Serving on PyTorch","url":"https://github.com/pytorch/serve","rank":-9.54598349169516,"score":1,"time":"2020-04-22T03:00:48Z"},{"id":22942027,"title":"PyTorch 1.5 released, new and updated APIs","url":"https://pytorch.org/blog/pytorch-1-dot-5-released-with-new-and-updated-apis/","rank":-7.994748098554717,"score":150,"time":"2020-04-22T04:07:04Z"},{"id":22945360,"title":"Facebook AI, AWS partner to release new PyTorch libraries","url":"https://ai.facebook.com/blog/facebook-ai-aws-partner-to-release-new-pytorch-libraries-/","rank":-7.682638287284367,"score":55,"time":"2020-04-22T13:35:32Z"},{"id":22946831,"title":"PyTorch v1.5.0 Now Available","url":"https://blog.exxactcorp.com/pytorch-v1-5-0-now-available/","rank":-8.701773124615425,"score":4,"time":"2020-04-22T15:49:07Z"},{"id":22948501,"title":"PyTorch 1.5 Released: New APIs, Updated C++ Front End and More","url":"https://medium.com/syncedreview/pytorch-1-5-released-new-apis-updated-c-frontend-and-more-d59cb1dcf325","rank":-6.87719456208556,"score":3,"time":"2020-04-22T18:13:32Z"},{"id":22960854,"title":"TensorFlow or PyTorch?","url":"https://towardsdatascience.com/tensorflow-or-pytorch-146f5397278a","rank":-10.032646621485735,"score":1,"time":"2020-04-23T20:26:05Z"},{"id":22960886,"title":"Comparing 5 popular neural net architectures on iOS using PyTorch","url":"https://heartbeat.fritz.ai/logo-recognition-ios-application-using-machine-learning-and-flask-api-aec4eff3be11?source=post_stats_page---------------------------","rank":-7.393981997272879,"score":1,"time":"2020-04-23T20:28:09Z"},{"id":22993351,"title":"PyTorch Distributed Training","url":"https://leimao.github.io/blog/PyTorch-Distributed-Training/","rank":-10.032646621485735,"score":60,"time":"2020-04-27T06:20:16Z"},{"id":22995050,"title":"Show HN: A Neural Network for Graph Similarity Computation WSDM'19 (PyTorch)","url":"https://github.com/benedekrozemberczki/simgnn","rank":-6.87719456208556,"score":2,"time":"2020-04-27T12:12:07Z"},{"id":23010741,"title":"Better Data Loading: 20x PyTorch Speed-Up for Tabular Data","url":"https://towardsdatascience.com/better-data-loading-20x-pytorch-speed-up-for-tabular-data-e264b9e34352","rank":-7.393981997272879,"score":2,"time":"2020-04-28T19:22:26Z"},{"id":23012964,"title":"Comparing 5 popular neural net architectures on iOS using PyTorch","url":"https://heartbeat.fritz.ai/logo-recognition-ios-application-using-machine-learning-and-flask-api-aec4eff3be11?source=post_stats_page---------------------------","rank":-7.393981997272879,"score":1,"time":"2020-04-28T22:37:08Z"},{"id":23017373,"title":"Show HN: Learning Node Representations That Capture Multiple Contexts (PyTorch)","url":"https://github.com/benedekrozemberczki/Splitter","rank":-7.393981997272879,"score":3,"time":"2020-04-29T09:58:35Z"},{"id":23051750,"title":"Show HN: Pretrained Pytorch license plate segmentation model","url":"https://github.com/dennisbappert/pytorch-licenseplate-segmentation/","rank":-7.994748098554717,"score":3,"time":"2020-05-02T13:47:13Z"},{"id":23053643,"title":"GANs Introduction in PyTorch and TensorFlow","url":"https://medium.com/ai-society/gans-from-scratch-1-a-deep-introduction-with-code-in-pytorch-and-tensorflow-cb03cdcdba0f","rank":-8.701773124615425,"score":2,"time":"2020-05-02T18:05:40Z"},{"id":23075062,"title":"Kers and PyTorch","url":"https://github.com/sachinruk/keraTorch","rank":-10.032646621485735,"score":1,"time":"2020-05-05T00:37:16Z"},{"id":23077769,"title":"Active Machine Learning with PyTorch","url":"https://blog.scaleway.com/2020/active-learning-pytorch/","rank":-9.104350122886538,"score":5,"time":"2020-05-05T08:26:29Z"},{"id":23089838,"title":"Show HN: Graph Wavelet Neural Network (PyTorch)","url":"https://github.com/benedekrozemberczki/graphWaveletneuralNetwork","rank":-8.333290894816093,"score":4,"time":"2020-05-06T11:38:16Z"},{"id":23096697,"title":"Comparing 5 popular neural net architectures on iOS using PyTorch","url":"https://heartbeat.fritz.ai/logo-recognition-ios-application-using-machine-learning-and-flask-api-aec4eff3be11?source=post_stats_page---------------------------","rank":-7.393981997272879,"score":1,"time":"2020-05-06T21:46:53Z"},{"id":23137721,"title":"Decoding morse code using Pytorch","url":"https://blog.willemmelching.nl/random/2020/05/10/morse/","rank":-9.104350122886538,"score":1,"time":"2020-05-11T00:40:28Z"},{"id":23152892,"title":"Convert from PyTorch to PyTorch Lightning in 45 minutes","url":"https://www.youtube.com/watch?v=QHww1JH7IDU","rank":-10.678504733356567,"score":1,"time":"2020-05-12T11:40:06Z"},{"id":23163895,"title":"Adaptive Transformers for compute efficient NLP (with Pytorch code)","url":"https://youtu.be/_pYxa50HTBw","rank":-7.682638287284367,"score":1,"time":"2020-05-13T05:55:25Z"},{"id":23168045,"title":"Japanese Unicorn Preferred Networks Releases First PyTorch Library","url":"https://medium.com/syncedreview/japanese-unicorn-preferred-networks-releases-first-pytorch-library-ff902f8477eb","rank":-7.994748098554717,"score":1,"time":"2020-05-13T15:45:31Z"},{"id":23191818,"title":"Visualising the PyTorch Compute Graph for Bug Fixing","url":"https://benjamin.computer/posts/2020-05-15-pytorch-graph.html","rank":-7.994748098554717,"score":2,"time":"2020-05-15T13:19:19Z"},{"id":23235526,"title":"How to Use Pytorch Lightning to Classify Any Image","url":"https://learningwithdata.com/posts/tylerfolkman/how-to-tag-any-image/","rank":-7.682638287284367,"score":3,"time":"2020-05-19T14:54:58Z"},{"id":23235816,"title":"The Most Important Fundamentals of PyTorch You Should Know","url":"https://blog.exxactcorp.com/the-most-important-fundamentals-of-pytorch-you-should-know/","rank":-7.682638287284367,"score":4,"time":"2020-05-19T15:21:38Z"},{"id":23276508,"title":"The Most Important Fundamentals of PyTorch You Should Know","url":"https://blog.exxactcorp.com/the-most-important-fundamentals-of-pytorch-you-should-know/","rank":-7.682638287284367,"score":1,"time":"2020-05-22T20:22:44Z"},{"id":23284933,"title":"Deep Learning with PyTorch – Free Six Week Course from Freecodecamp.org","url":"https://www.youtube.com/watch?v=vo_fUOk-IKk","rank":-7.126231333808056,"score":3,"time":"2020-05-23T17:52:19Z"},{"id":23304436,"title":"PyTorch Model in Production as a Serverless REST API","url":"https://www.paepper.com/blog/posts/pytorch-model-in-production-as-a-serverless-rest-api/","rank":-7.682638287284367,"score":3,"time":"2020-05-25T20:09:13Z"},{"id":23356633,"title":"Show HN: Deploying Pytorch models on iOS via Core ML – my “pandemic project”","url":"http://www.ml-illustrated.com/2020/05/25/run-pytorch-models-on-ios-with-coreml.html","rank":-6.644975975894096,"score":4,"time":"2020-05-29T23:05:09Z"},{"id":23396171,"title":"I Built a Face Mask Detector for Covid-19 Using PyTorch Lightning","url":"https://towardsdatascience.com/how-i-built-a-face-mask-detector-for-covid-19-using-pytorch-lightning-67eb3752fd61","rank":-6.87719456208556,"score":1,"time":"2020-06-02T20:52:52Z"},{"id":23398728,"title":"Understanding Shapes in PyTorch","url":"https://bochang.me/blog/posts/pytorch-distributions/","rank":-9.54598349169516,"score":2,"time":"2020-06-03T01:34:32Z"},{"id":23399484,"title":"Reinventing the Wheel: Discovering the Optimal Rolling Shape with PyTorch","url":"https://blog.benwiener.com/programming/2019/04/29/reinventing-the-wheel.html","rank":-7.393981997272879,"score":117,"time":"2020-06-03T03:51:36Z"},{"id":23437214,"title":"Faster and Cheaper PyTorch with RaySGD","url":"https://medium.com/distributed-computing-with-ray/faster-and-cheaper-pytorch-with-raysgd-a5a44d4fd220","rank":-8.701773124615425,"score":5,"time":"2020-06-06T06:15:13Z"},{"id":23454757,"title":"PyTorch for Beginners – Basic Concepts","url":"https://rubikscode.net/2020/06/08/pytorch-for-beginners-basic-concepts/","rank":-9.104350122886538,"score":2,"time":"2020-06-08T08:37:04Z"},{"id":23464368,"title":"Keras (like) with pytorch back end","url":"http://sachinruk.github.io/keraTorch","rank":-8.701773124615425,"score":1,"time":"2020-06-09T06:55:52Z"},{"id":23466333,"title":"Getting nice stats out of PyTorch Microscopy Experiments","url":"https://benjamin.computer/posts/2020-06-09-pytorch-stats.html","rank":-7.994748098554717,"score":1,"time":"2020-06-09T13:09:52Z"},{"id":23467737,"title":"How Datarock is using PyTorch for more intelligent mining decision making","url":"https://medium.com/pytorch/how-datarock-is-using-pytorch-for-more-intelligent-decision-making-d5d1694ba170","rank":-7.126231333808056,"score":4,"time":"2020-06-09T15:55:33Z"},{"id":23489061,"title":"Efficient PyTorch – Part 1","url":"https://medium.com/@eugenekhvedchenya/efficient-pytorch-part-1-fe40ed5db76c","rank":-9.54598349169516,"score":1,"time":"2020-06-11T14:11:38Z"},{"id":23492838,"title":"Tips to Maximize PyTorch Performance","url":"https://towardsdatascience.com/7-tips-for-squeezing-maximum-performance-from-pytorch-ca4a40951259","rank":-9.104350122886538,"score":1,"time":"2020-06-11T20:06:47Z"},{"id":23504126,"title":"Show HN: Deploy Pytorch to Core ML tutorial: live and trainable spectrograms","url":"http://www.ml-illustrated.com/2020/06/01/deploy-pytorch-model-with-coreml-convert-issues.html","rank":-6.87719456208556,"score":1,"time":"2020-06-12T21:32:20Z"},{"id":23555217,"title":"Building a One-Shot Learning Network with PyTorch","url":"https://towardsdatascience.com/building-a-one-shot-learning-network-with-pytorch-d1c3a5fafa4a","rank":-7.994748098554717,"score":1,"time":"2020-06-17T18:53:19Z"},{"id":23601640,"title":"PyTorch Global Summer Hacakathon Launched","url":"https://pytorch2020.devpost.com/","rank":-9.104350122886538,"score":2,"time":"2020-06-22T15:57:24Z"},{"id":23605868,"title":"Faster and Cheaper PyTorch with RaySGD","url":"https://medium.com/distributed-computing-with-ray/faster-and-cheaper-pytorch-with-raysgd-a5a44d4fd220","rank":-8.701773124615425,"score":2,"time":"2020-06-22T20:15:19Z"},{"id":23629861,"title":"Train OpenAI's Image GPT in 2 Hours Using PyTorch Lightning","url":"https://github.com/teddykoker/image-gpt","rank":-7.126231333808056,"score":2,"time":"2020-06-24T16:19:57Z"},{"id":23630219,"title":"PyTorch and GANs: A Micro Tutorial","url":"https://towardsdatascience.com/pytorch-and-gans-a-micro-tutorial-804855817a6b","rank":-8.701773124615425,"score":1,"time":"2020-06-24T16:37:35Z"},{"id":23652641,"title":"Explaining Pytorch","url":"https://ongspxm.gitlab.io/blog/2020/06/pytorch-example/","rank":-10.571596455451935,"score":2,"time":"2020-06-26T14:55:28Z"},{"id":23671484,"title":"PyTorch Computer Vision Library for Experts and Beginners","url":"https://medium.com/pytorch/pytorch-computer-vision-library-for-experts-and-beginners-84b9157584e5","rank":-7.994748098554717,"score":3,"time":"2020-06-28T19:43:09Z"},{"id":23690270,"title":"Using AI (Pytorch) to Optimize #1 EU Airport Post-Covid Re-Opening","url":"https://fruty.io/2020/06/30/using-ai-pytorch-to-optimize-1-eu-airport-post-covid-re-opening/","rank":-6.87719456208556,"score":2,"time":"2020-06-30T14:21:08Z"},{"id":23698049,"title":"Name Language Prediction Using Recurrent Neural Network in PyTorch","url":"https://analyticsindiamag.com/name-language-prediction-using-recurrent-neural-network-in-pytorch/","rank":-7.682638287284367,"score":1,"time":"2020-07-01T05:29:15Z"},{"id":23699731,"title":"PyTorch port of OpenNMT, an open-source (MIT) neural machine translation system","url":"https://github.com/OpenNMT/OpenNMT-py","rank":-6.87719456208556,"score":3,"time":"2020-07-01T09:54:37Z"},{"id":23713121,"title":"Opening Up the Black Box: Model Understanding with Captum and PyTorch","url":"https://www.youtube.com/watch?v=0QLrRyLndFI&t=1s","rank":-7.126231333808056,"score":2,"time":"2020-07-02T13:56:24Z"},{"id":23746729,"title":"PyTorch for Beginners – Mini Series","url":"https://rubikscode.net/2020/07/06/pytorch-for-beginners-mini-series/","rank":-9.104350122886538,"score":1,"time":"2020-07-06T11:25:48Z"},{"id":23748904,"title":"Building a CT Scan Covid-19 Classifier Using PyTorch","url":"https://blog.paperspace.com/fighting-coronavirus-with-ai-building-covid-19-classifier/","rank":-7.682638287284367,"score":66,"time":"2020-07-06T15:26:00Z"},{"id":23757735,"title":"Deep Learning with PyTorch [pdf]","url":"https://pytorch.org/assets/deep-learning/Deep-Learning-with-PyTorch.pdf","rank":-9.104350122886538,"score":2,"time":"2020-07-07T10:43:58Z"},{"id":23765922,"title":"Craft: Character-Region Awareness for Text Detection (Pytorch)","url":"https://github.com/clovaai/CRAFT-pytorch","rank":-7.994748098554717,"score":2,"time":"2020-07-08T00:52:17Z"},{"id":23770025,"title":"Craft: Character-Region Awareness for Text Detection Using Pytorch","url":"https://github.com/clovaai/CRAFT-pytorch","rank":-7.682638287284367,"score":1,"time":"2020-07-08T14:12:18Z"},{"id":23777964,"title":"PyTorch LSTM: Text Generation Tutorial","url":"https://closeheat.com/blog/pytorch-lstm-text-generation-tutorial","rank":-9.104350122886538,"score":1,"time":"2020-07-09T08:01:24Z"},{"id":23794404,"title":"How PyTorch Lightning became the first ML framework to run CI on TPUs","url":"https://medium.com/pytorch/how-pytorch-lightning-became-the-first-ml-framework-to-runs-continuous-integration-on-tpus-a47a882b2c95","rank":-6.644975975894096,"score":3,"time":"2020-07-10T18:04:20Z"},{"id":23795769,"title":"Show HN: How to Deploy a State-of-the-Art PyTorch Model to iOS via Core ML","url":"http://www.ml-illustrated.com/2020/06/15/deploy-pytorch-sound-classification-model-via-coreml.html","rank":-5.8542645718254045,"score":1,"time":"2020-07-10T20:03:17Z"},{"id":23800568,"title":"How PyTorch Lightning became the first ML framework to run CI on TPUs","url":"https://medium.com/pytorch/how-pytorch-lightning-became-the-first-ml-framework-to-runs-continuous-integration-on-tpus-a47a882b2c95","rank":-6.644975975894096,"score":3,"time":"2020-07-11T08:40:39Z"},{"id":23822926,"title":"Show HN: PrototypeML, a social visual IDE for PyTorch neural networks","url":"https://prototypeml.com","rank":-7.126231333808056,"score":3,"time":"2020-07-13T17:00:19Z"},{"id":23836147,"title":"Bridging PyTorch and TVM","url":"https://lernapparat.de/transformers-pytorch-tvm/","rank":-9.54598349169516,"score":2,"time":"2020-07-14T18:57:23Z"},{"id":23836803,"title":"Show HN: PyTorch Federated Learning in iOS/Android/Browser","url":"https://blog.openmined.org/announcing-new-libraries-for-fl-on-web-and-mobile/?hn=1","rank":-7.682638287284367,"score":1,"time":"2020-07-14T19:45:40Z"},{"id":23842821,"title":"LAS_Mandarin_PyTorch","url":"https://github.com/jackaduma/LAS_Mandarin_PyTorch","rank":-10.032646621485735,"score":2,"time":"2020-07-15T09:03:19Z"},{"id":23849868,"title":"Show HN: PrototypeML: A Neural Network Visual IDE for PyTorch (NeurIPS Preprint)","url":"https://prototypeml.com","rank":-6.87719456208556,"score":0,"time":"2020-07-15T18:50:45Z"},{"id":23861351,"title":"Show HN: Visual Neural Network IDE for PyTorch","url":"https://prototypeml.com","rank":-7.994748098554717,"score":4,"time":"2020-07-16T17:28:39Z"},{"id":23862846,"title":"Disney uses PyTorch for animated character recognition","url":"https://medium.com/pytorch/how-disney-uses-pytorch-for-animated-character-recognition-a1722a182627","rank":-8.333290894816093,"score":3,"time":"2020-07-16T19:27:47Z"},{"id":23867888,"title":"Disney uses PyTorch for animated character recognition","url":"https://medium.com/pytorch/how-disney-uses-pytorch-for-animated-character-recognition-a1722a182627","rank":-8.333290894816093,"score":5,"time":"2020-07-17T06:55:42Z"},{"id":23884310,"title":"Show HN: Open-Sourcing Deep Dream in PyTorch (MIT License)","url":"https://github.com/gordicaleksa/pytorch-deepdream","rank":-7.393981997272879,"score":4,"time":"2020-07-18T19:55:12Z"},{"id":23900286,"title":"Disney uses PyTorch for animated character recognition","url":"https://medium.com/pytorch/how-disney-uses-pytorch-for-animated-character-recognition-a1722a182627","rank":-8.333290894816093,"score":2,"time":"2020-07-20T18:00:45Z"},{"id":23938174,"title":"Gated Linear Networks in NumPy, PyTorch, TensorFlow and JAX","url":"https://github.com/aiwabdn/pygln","rank":-7.682638287284367,"score":6,"time":"2020-07-24T11:28:25Z"},{"id":23950731,"title":"Show HN: Zero – a new general-purpose library for PyTorch users","url":"https://github.com/Yura52/zero/issues/21","rank":-7.126231333808056,"score":1,"time":"2020-07-25T17:06:01Z"},{"id":23955193,"title":"Proximal Policy Optimization for Playing Super Mario Bros (Pytorch)","url":"https://github.com/uvipen/Super-mario-bros-PPO-pytorch","rank":-7.682638287284367,"score":26,"time":"2020-07-26T07:37:55Z"},{"id":23978227,"title":"Microsoft becomes maintainer of the Windows version of PyTorch","url":"https://pytorch.org/blog/microsoft-becomes-maintainer-of-the-windows-version-of-pytorch/","rank":-7.682638287284367,"score":5,"time":"2020-07-28T17:19:59Z"},{"id":23980194,"title":"PyTorch 1.6 Released","url":"https://pytorch.org/blog/pytorch-1.6-released/","rank":-9.54598349169516,"score":4,"time":"2020-07-28T20:16:42Z"},{"id":23982405,"title":"A Fast, Pytorch-style Tensor+Autograd library written in Rust","url":"https://github.com/bkkaggle/L2","rank":-7.682638287284367,"score":9,"time":"2020-07-29T01:00:51Z"},{"id":23986237,"title":"Windows version of PyTorch will be developed and maintained by Microsoft","url":"https://analyticsdrift.com/microsoft-will-simplify-pytorch-for-windows-users/","rank":-7.126231333808056,"score":2,"time":"2020-07-29T13:12:34Z"},{"id":23986840,"title":"PyTorch for Windows Will Be Developed by Microsoft","url":"https://twitter.com/AnalyticsDrift/status/1288476798011940865","rank":-7.994748098554717,"score":2,"time":"2020-07-29T14:10:37Z"},{"id":23990640,"title":"Facebook passes PyTorch for Windows development to Microsoft","url":"https://venturebeat.com/2020/07/28/facebook-passes-pytorch-for-windows-development-to-microsoft/","rank":-7.994748098554717,"score":5,"time":"2020-07-29T19:27:19Z"},{"id":23993927,"title":"PyTorch will be developed by Microsoft for Windows","url":"https://twitter.com/AnalyticsDrift/status/1288665920173273093","rank":-7.994748098554717,"score":2,"time":"2020-07-30T02:42:23Z"},{"id":24005989,"title":"PyTorch 1.6 Released, Microsoft to Take Care of the Windows Version of PyTorch","url":"https://analyticsindiamag.com/pytorch-1-6-released-microsoft-to-take-care-of-the-windows-version-of-pytorch/","rank":-9.402930004015632,"score":1,"time":"2020-07-31T05:32:19Z"},{"id":24025922,"title":"PyTorch 1.6.0 Release Notes","url":"https://github.com/pytorch/pytorch/releases/tag/v1.6.0","rank":-8.701773124615425,"score":1,"time":"2020-08-02T02:50:32Z"},{"id":24028265,"title":"PyTorch 1.6 Released with Native AMP Support, Microsoft Joins for Windows","url":"https://pytorch.org/blog/pytorch-1.6-released/","rank":-6.87719456208556,"score":3,"time":"2020-08-02T12:29:32Z"},{"id":24029637,"title":"Deep learning code that turns Fortnite To PUBG (PyTorch)","url":"https://github.com/taesungp/contrastive-unpaired-translation","rank":-7.682638287284367,"score":3,"time":"2020-08-02T16:29:56Z"},{"id":24034363,"title":"PyTorch 1.6 Released with Native AMP Support, Microsoft Joins for Windows","url":"https://pytorch.org/blog/pytorch-1.6-released/","rank":-6.87719456208556,"score":2,"time":"2020-08-03T05:01:19Z"},{"id":24056292,"title":"PyTorch 1.6 Released","url":"https://pytorch.org/blog/pytorch-1.6-released/","rank":-9.54598349169516,"score":2,"time":"2020-08-05T01:16:52Z"},{"id":24066865,"title":"We recommend this book Deep Learning for Coders with fastai and PyTorch","url":"https://win-vector.com/2020/08/05/we-recommend-this-book-deep-learning-for-coders-with-fastai-and-pytorch/","rank":-6.87719456208556,"score":4,"time":"2020-08-05T23:52:30Z"},{"id":24077353,"title":"The project uses PyTorch for development and ONNX for the production system","url":"https://medium.com/pytorch/ai-for-ag-production-machine-learning-for-agriculture-e8cfdb9849a1","rank":-6.87719456208556,"score":3,"time":"2020-08-07T02:16:13Z"},{"id":24085805,"title":"PyTorch Lightning 101 video series [YouTube]","url":"https://www.youtube.com/playlist?list=PLaMu-SDt_RB5NUm67hU2pdE75j6KaIOv2","rank":-8.701773124615425,"score":1,"time":"2020-08-07T19:48:56Z"},{"id":24102396,"title":"PyTorch-ProbGraph – Hierarchical Probabilistic Graphical Models in PyTorch","url":"https://github.com/kpoeppel/pytorch_probgraph","rank":-10.976307666591111,"score":25,"time":"2020-08-09T20:01:07Z"},{"id":24110315,"title":"PyTorch Lightning masterclass- scalable deep learning framework [video]","url":"https://www.youtube.com/watch?v=OMDn66kM9Qc&list=PLaMu-SDt_RB5NUm67hU2pdE75j6KaIOv2&index=1","rank":-7.994748098554717,"score":1,"time":"2020-08-10T15:27:12Z"},{"id":24110340,"title":"Training a classification model on MNIST with PyTorch","url":"https://youtu.be/OMDn66kM9Qc","rank":-7.994748098554717,"score":1,"time":"2020-08-10T15:29:21Z"},{"id":24110347,"title":"PyTorch Lightning: The lightweight PyTorch wrapper for ML researchers","url":"https://github.com/PyTorchLightning/pytorch-lightning","rank":-10.678504733356567,"score":2,"time":"2020-08-10T15:29:56Z"},{"id":24111267,"title":"Jupyter Notebooks for Transformers (NLP for Pytorch and TensorFlow 2.0)","url":"https://github.com/huggingface/notebooks/tree/master/transformers_doc","rank":-7.126231333808056,"score":1,"time":"2020-08-10T16:48:21Z"},{"id":24127499,"title":"Show HN: SOTA semantic segmentation with MobileNetV3, in 3 lines of PyTorch code","url":"https://github.com/ekzhang/fastseg","rank":-6.644975975894096,"score":6,"time":"2020-08-12T00:33:36Z"},{"id":24131414,"title":"Generating Text Summaries Using GPT-Style Models on PyTorch","url":"https://blog.paperspace.com/generating-text-summaries-gpt-2/","rank":-7.682638287284367,"score":2,"time":"2020-08-12T12:37:34Z"},{"id":24142946,"title":"CNN LSTM in Pytorch for Video Classification","url":"https://github.com/pranoyr/cnn-lstm","rank":-8.333290894816093,"score":1,"time":"2020-08-13T13:10:19Z"},{"id":24161134,"title":"Deep Learning for Coders with Fastai and PyTorch","url":"https://www.oreilly.com/library/view/deep-learning-for/9781492045519/","rank":-7.994748098554717,"score":2,"time":"2020-08-14T18:02:16Z"},{"id":24190620,"title":"TensorFlow Vs Pytorch. Which one is better?","url":"https://indiaai.in/article/tensorflow-vs-pytorch-which-one-is-better","rank":-8.333290894816093,"score":1,"time":"2020-08-17T19:04:16Z"},{"id":24208376,"title":"7 days left to PyTorch Summer Hackaton","url":"https://pytorch2020.devpost.com/","rank":-8.333290894816093,"score":2,"time":"2020-08-19T08:36:04Z"},{"id":24209711,"title":"From PyTorch to CoreML","url":"https://github.com/vincentfpgarcia/from-pytorch-to-coreml","rank":-9.54598349169516,"score":2,"time":"2020-08-19T12:31:29Z"},{"id":24239874,"title":"A multivariate PyTorch time series library","url":"https://towardsdatascience.com/flow-forecast-a-time-series-forecasting-library-built-in-pytorch-bbae7d8407b3?source=---------4------------------","rank":-8.701773124615425,"score":1,"time":"2020-08-21T23:11:25Z"},{"id":24292339,"title":"GenRL: PyTorch-First Reinforcement Learning Library","url":"https://github.com/SforAiDl/genrl","rank":-8.701773124615425,"score":9,"time":"2020-08-27T10:58:08Z"},{"id":24297218,"title":"Show HN: Drone Deploy Dataset – Segmentation with Pytorch","url":"https://github.com/s3nh/drone-deploy-seg","rank":-7.994748098554717,"score":4,"time":"2020-08-27T18:54:50Z"},{"id":24301214,"title":"Show HN: Identity Card Semantic Segmentation (Pytorch)","url":"https://github.com/s3nh/unet-midv500","rank":-8.333290894816093,"score":2,"time":"2020-08-28T03:56:55Z"},{"id":24309695,"title":"Objax, a new high-level JAX API with a PyTorch-like interface","url":"https://github.com/google/objax","rank":-6.87719456208556,"score":2,"time":"2020-08-28T20:41:02Z"},{"id":24311323,"title":"SimCLR and Self-Supervised Learning with PyTorch Lightning","url":"https://bit.ly/2G8PDJ2","rank":-7.994748098554717,"score":1,"time":"2020-08-28T22:57:43Z"},{"id":24321607,"title":"Alfred Workflow for TensorFlow, PyTorch API Docs","url":"https://github.com/lsgrep/mldocs","rank":-8.333290894816093,"score":2,"time":"2020-08-30T05:40:38Z"},{"id":24329983,"title":"PyTorch Performance Tuning Guide [video]","url":"https://www.youtube.com/watch?v=9mS1fIYj1So&feature=youtu.be","rank":-9.104350122886538,"score":3,"time":"2020-08-31T10:22:43Z"},{"id":24333420,"title":"Train PyTorch models with differential privacy","url":"https://ai.facebook.com/blog/introducing-opacus-a-high-speed-library-for-training-pytorch-models-with-differential-privacy","rank":-8.701773124615425,"score":15,"time":"2020-08-31T17:00:28Z"},{"id":24334002,"title":"Opacus: A library that enables training PyTorch models with differential privacy","url":"https://github.com/pytorch/opacus","rank":-7.126231333808056,"score":6,"time":"2020-08-31T17:48:16Z"},{"id":24354114,"title":"PyTorch vs. TensorFlow for Your Python Deep Learning Project","url":"https://realpython.com/pytorch-vs-tensorflow/","rank":-7.682638287284367,"score":15,"time":"2020-09-02T15:23:05Z"},{"id":24356428,"title":"High-Speed Privacy Protection: Facebook Opacus Trains PyTorch Models with DP","url":"https://syncedreview.com/2020/09/02/high-speed-privacy-protection-facebook-opacus-trains-pytorch-models-with-dp/","rank":-7.126231333808056,"score":1,"time":"2020-09-02T18:48:50Z"},{"id":24432670,"title":"Show HN: Pytorch_block_sparse: smaller, faster neural networks","url":"https://twitter.com/madlag/status/1304061781636251649","rank":-7.682638287284367,"score":6,"time":"2020-09-10T14:28:09Z"},{"id":24439704,"title":"PyTorch3D for 3D Computer Vision research with PyTorch","url":"https://github.com/facebookresearch/pytorch3d","rank":-7.994748098554717,"score":2,"time":"2020-09-11T06:21:19Z"},{"id":24440982,"title":"PyTorch Lightning Bolts","url":"https://github.com/PyTorchLightning/pytorch-lightning-bolts","rank":-10.032646621485735,"score":0,"time":"2020-09-11T10:07:30Z"},{"id":24443334,"title":"Building an end-to-end Speech Recognition model in PyTorch","url":"https://www.comet.ml/site/customer-case-study-building-an-end-to-end-speech-recognition-model-in-pytorch-with-assemblyai/","rank":-7.393981997272879,"score":2,"time":"2020-09-11T14:41:15Z"},{"id":24443901,"title":"Adversarial Attack and Defense on Neural Networks in PyTorch","url":"https://towardsdatascience.com/adversarial-attack-and-defense-on-neural-networks-in-pytorch-82b5bcd9171","rank":-7.682638287284367,"score":1,"time":"2020-09-11T15:35:03Z"},{"id":24449682,"title":"PyTorch CV model to identify the Australian Aboriginal Flag [follow up]","url":"https://github.com/australia/aboriginal-flag-cv-model","rank":-7.126231333808056,"score":0,"time":"2020-09-12T03:51:35Z"},{"id":24470351,"title":"GhostNet (CVPR 2020) in PyTorch and TensorFlow","url":"https://blog.paperspace.com/ghostnet-cvpr-2020/","rank":-8.333290894816093,"score":10,"time":"2020-09-14T14:11:51Z"},{"id":24478272,"title":"Show HN: Beginner-friendly PyTorch GANs project","url":"https://github.com/gordicaleksa/pytorch-gans","rank":-8.333290894816093,"score":2,"time":"2020-09-15T05:57:07Z"},{"id":24499873,"title":"Pytorch-generative: A nascent library for autoregressive modeling in PyTorch","url":"https://github.com/EugenHotaj/pytorch-generative","rank":-10.396434586537026,"score":3,"time":"2020-09-17T00:41:05Z"},{"id":24511426,"title":"Hasktorch is a Haskell interface to Pytorch back-end","url":"https://github.com/hasktorch/hasktorch","rank":-7.682638287284367,"score":4,"time":"2020-09-18T00:01:39Z"},{"id":24528856,"title":"End-to-end Speech Recognition in PyTorch trained on 50kh of speech is released","url":"https://github.com/snakers4/silero-models/wiki/Quality-Benchmarks#en-v1","rank":-6.4279275509094935,"score":4,"time":"2020-09-19T17:05:51Z"},{"id":24586006,"title":"How to Generate Anime Faces Using GANs via Pytorch","url":"https://lionbridge.ai/articles/how-to-generate-anime-faces-using-gans-via-pytorch/","rank":-7.682638287284367,"score":6,"time":"2020-09-25T02:29:59Z"},{"id":24588995,"title":"Show HN: Interpret Convolutional Neural Networks in PyTorch","url":"https://github.com/ttumiel/interpret","rank":-7.994748098554717,"score":2,"time":"2020-09-25T12:31:21Z"},{"id":24590820,"title":"Collection of GANs Written in Pytorch","url":"https://github.com/w86763777/pytorch-gan-collections","rank":-8.701773124615425,"score":35,"time":"2020-09-25T15:27:23Z"},{"id":24600683,"title":"Old Photo Restoration (Official PyTorch Implementation) (With Colab)","url":"https://github.com/microsoft/Bringing-Old-Photos-Back-to-Life","rank":-7.994748098554717,"score":3,"time":"2020-09-26T17:48:08Z"},{"id":24601748,"title":"Namedtuples make PyTorch DataLoaders better","url":"https://arminbagrat.com/NamedTuples-and-DataLoaders/","rank":-9.104350122886538,"score":2,"time":"2020-09-26T20:12:14Z"},{"id":24620329,"title":"Kornia: An Open Source Differentiable Computer Vision Library for PyTorch","url":"https://deepai.org/publication/a-survey-on-kornia-an-open-source-differentiable-computer-vision-library-for-pytorch","rank":-7.393981997272879,"score":5,"time":"2020-09-28T19:24:55Z"},{"id":24626416,"title":"Torch – PyTorch port using LibTorch for R","url":"https://blogs.rstudio.com/ai/posts/2020-09-29-introducing-torch-for-r/","rank":-8.333290894816093,"score":5,"time":"2020-09-29T11:37:19Z"},{"id":24630305,"title":"PyTorch / XLA Is Now Generally Available on Google Cloud TPUs","url":"https://medium.com/pytorch/pytorch-xla-is-now-generally-available-on-google-cloud-tpus-f9267f437832","rank":-7.393981997272879,"score":3,"time":"2020-09-29T17:08:00Z"},{"id":24636159,"title":"PyTorch for R","url":"https://medium.com/pytorch/please-allow-me-to-introduce-myself-torch-for-r-9ea0f361ea7e","rank":-10.032646621485735,"score":2,"time":"2020-09-30T06:17:38Z"},{"id":24639803,"title":"CycleGAN – Annotated PyTorch Implementation","url":"http://lab-ml.com/labml_nn/gan/cycle_gan.html","rank":-9.54598349169516,"score":2,"time":"2020-09-30T15:32:11Z"},{"id":24641111,"title":"PyTorch utilized in aim to accelerate drug discovery","url":"https://ai.facebook.com/blog/pytorch-utilized-in-aim-to-accelerate-drug-discovery","rank":-7.994748098554717,"score":2,"time":"2020-09-30T17:17:43Z"},{"id":24644120,"title":"PyTorch / XLA Library Reaches General Availability on Google Cloud","url":"https://syncedreview.com/2020/09/30/pytorch-xla-library-reaches-general-availability-on-google-cloud/","rank":-7.682638287284367,"score":1,"time":"2020-09-30T21:28:38Z"},{"id":24654203,"title":"AstraZeneca is using PyTorch-powered algorithms to discover new drugs","url":"https://www.zdnet.com/article/astrazeneca-is-using-pytorch-powered-algorithms-to-discover-new-drugs/","rank":-7.393981997272879,"score":2,"time":"2020-10-01T18:07:18Z"},{"id":24684064,"title":"Show HN: I made Image Classifier not on MNIST using PyTorch for beginners","url":"https://towardsdatascience.com/introduction-to-cnns-without-using-mnist-ea62040341d0","rank":-6.644975975894096,"score":1,"time":"2020-10-05T02:40:01Z"},{"id":24684382,"title":"Old Photo Restoration in PyTorch","url":"https://github.com/microsoft/Bringing-Old-Photos-Back-to-Life","rank":-9.104350122886538,"score":3,"time":"2020-10-05T03:42:50Z"},{"id":24688393,"title":"MMPose: Pose Estimation in PyTorch","url":"https://github.com/open-mmlab/mmpose","rank":-9.104350122886538,"score":2,"time":"2020-10-05T15:06:01Z"},{"id":24706367,"title":"PyTorch vs. TensorFlow – A Detailed Comparison","url":"https://www.tooploox.com/blog/pytorch-vs-tensorflow-a-detailed-comparison","rank":-8.701773124615425,"score":4,"time":"2020-10-07T08:40:09Z"},{"id":24710432,"title":"Lyft Uses PyTorch to Power Machine Learning for Their Self-Driving Cars","url":"https://medium.com/pytorch/how-lyft-uses-pytorch-to-power-machine-learning-for-their-self-driving-cars-80642bc2d0ae","rank":-6.87719456208556,"score":2,"time":"2020-10-07T17:17:36Z"},{"id":24718425,"title":"Grid AI (from the maker of PyTorch Lightning), launches with an $18.6m Series A","url":"https://techcrunch.com/2020/10/08/grid-ai-raises-18-6m-series-a-to-help-ai-researchers-and-engineers-bring-their-models-to-production/","rank":-6.224609773336247,"score":20,"time":"2020-10-08T12:20:41Z"},{"id":24720681,"title":"Grid: AI platform from the makers of PyTorch Lightning","url":"https://www.grid.ai/","rank":-7.682638287284367,"score":107,"time":"2020-10-08T16:27:11Z"},{"id":24730216,"title":"Benchmkarking Optimizers in PyTorch","url":"https://blog.paperspace.com/optimization-in-deep-learning/","rank":-9.54598349169516,"score":1,"time":"2020-10-09T14:27:53Z"},{"id":24758050,"title":"A Simple and Flexible Pytorch Video Pipeline","url":"https://paulbridger.com/posts/video_analytics_pytorch_pipeline/","rank":-8.333290894816093,"score":1,"time":"2020-10-12T18:58:00Z"},{"id":24764950,"title":"Training Your First Distributed PyTorch Lightning Model with Azure ML","url":"https://medium.com/microsoftazure/training-your-first-distributed-pytorch-lightning-model-with-azure-ml-f493d370acb","rank":-7.393981997272879,"score":2,"time":"2020-10-13T12:31:07Z"},{"id":24766690,"title":"PyTorch Lightning","url":"https://pytorchlightning.ai/","rank":-10.571596455451935,"score":3,"time":"2020-10-13T15:46:23Z"},{"id":24767781,"title":"Industrial Robotic Assembly Using AI (PyTorch Medium Blog)","url":"https://medium.com/pytorch/robotic-assembly-using-deep-reinforcement-learning-dfd9916c5ad7","rank":-7.994748098554717,"score":2,"time":"2020-10-13T17:35:46Z"},{"id":24769407,"title":"As a beginner, what library should I focus on: Keras, TensorFlow or PyTorch?","url":"https://medium.com/@alphasignal/as-a-beginner-in-ai-what-tool-should-i-focus-to-learn-keras-tensorflow-or-pytorch-in-short-and-43ca42964b69","rank":-6.644975975894096,"score":1,"time":"2020-10-13T19:38:30Z"},{"id":24770124,"title":"Pytorch Lightning 1.0 Released","url":"https://github.com/PyTorchLightning/pytorch-lightning/releases/tag/1.0.0","rank":-9.104350122886538,"score":3,"time":"2020-10-13T20:46:18Z"},{"id":24781281,"title":"How to deploy PyTorch Lightning models to production","url":"https://www.cortex.dev/post/deploy-pytorch-lightning-models","rank":-7.994748098554717,"score":1,"time":"2020-10-14T20:35:01Z"},{"id":24783542,"title":"The Most Complete Guide to PyTorch for Data Scientists","url":"https://mlwhiz.com/blog/2020/09/09/pytorch_guide/","rank":-7.682638287284367,"score":2,"time":"2020-10-15T00:51:14Z"},{"id":24786042,"title":"Show HN: Batchdist, a PyTorch package for batched computations of distances","url":"https://github.com/mi92/batchdist","rank":-7.126231333808056,"score":6,"time":"2020-10-15T08:02:18Z"},{"id":24786096,"title":"The Hitchhikers's Guide to PyTorch for Data Scientists","url":"https://hackernoon.com/the-hitchhikerss-guide-to-pytorch-for-data-scientists-ux1i3td4","rank":-7.682638287284367,"score":1,"time":"2020-10-15T08:10:40Z"},{"id":24803012,"title":"Building Neural Networks with PyTorch in Google Colab","url":"https://blog.exxactcorp.com/building-neural-networks-with-pytorch-in-google-colab/","rank":-7.994748098554717,"score":1,"time":"2020-10-16T17:30:58Z"},{"id":24810597,"title":"Knowledge Graphs Emb. With PyTorch","url":"https://github.com/raphaelsty/mkb","rank":-9.104350122886538,"score":3,"time":"2020-10-17T15:17:25Z"},{"id":24836534,"title":"Configuring Native Azure ML Logging with PyTorch Lighting","url":"https://medium.com/microsoftazure/configuring-native-azure-ml-logging-with-pytorch-lighting-2f45c876c3c6","rank":-7.994748098554717,"score":2,"time":"2020-10-20T12:33:35Z"},{"id":24837386,"title":"OCaml Bindings for PyTorch","url":"https://github.com/LaurentMazare/ocaml-torch","rank":-9.54598349169516,"score":2,"time":"2020-10-20T14:02:38Z"},{"id":24857778,"title":"PyTorch Loss Functions: The Ultimate Guide","url":"https://neptune.ai/blog/pytorch-loss-functions","rank":-8.701773124615425,"score":1,"time":"2020-10-22T13:32:20Z"},{"id":24862057,"title":"Preferred Networks’ ChainerRL Joins PyTorch Ecosystem as ‘PFRL’","url":"https://syncedreview.com/2020/10/22/preferred-networks-chainerrl-joins-pytorch-ecosystem-as-pfrl/","rank":-7.994748098554717,"score":2,"time":"2020-10-22T19:08:10Z"},{"id":24909133,"title":"PyTorch 1.7 Released with CUDA 11, New APIs for FFTs, Win Distributed Training","url":"https://github.com/pytorch/pytorch/releases/tag/v1.7.0","rank":-6.4279275509094935,"score":29,"time":"2020-10-27T16:40:34Z"},{"id":24911315,"title":"PyTorch 1.7 Released","url":"https://pytorch.org/blog/pytorch-1.7-released/","rank":-9.54598349169516,"score":6,"time":"2020-10-27T20:14:09Z"},{"id":24913909,"title":"PyTorch 1.7","url":"https://github.com/pytorch/pytorch/releases/tag/v1.7.0","rank":-10.032646621485735,"score":1,"time":"2020-10-28T01:12:13Z"},{"id":24915145,"title":"PyTorch 1.7 Release","url":"https://pytorch.org/blog/pytorch-1.7-released/","rank":-9.54598349169516,"score":3,"time":"2020-10-28T04:15:37Z"},{"id":24923177,"title":"Scale PyTorch models to out-of-memory CSV datasets in cloud object storage","url":"https://laaytrivedi.medium.com/scale-to-out-of-memory-csv-datasets-from-cloud-object-storage-providers-683fa53f37e0","rank":-6.644975975894096,"score":1,"time":"2020-10-28T19:35:19Z"},{"id":24931229,"title":"Show HN: Torchmtl a pytorch library for multi-task learning","url":"https://github.com/chrisby/torchMTL","rank":-7.393981997272879,"score":6,"time":"2020-10-29T15:03:22Z"},{"id":24961042,"title":"Show HN: Torchmtl: A lightweight module for Multi-Task Learning in pytorch","url":"https://github.com/chrisby/torchMTL","rank":-6.87719456208556,"score":1,"time":"2020-11-01T17:36:16Z"},{"id":24969027,"title":"PyTorch vs. TF, would you agree?","url":"https://news.ycombinator.com/item?id=21243112","rank":-8.701773124615425,"score":1,"time":"2020-11-02T15:23:20Z"},{"id":24988609,"title":"Pytorch Reimplementation of the Vision Transformer","url":"https://github.com/jeonsworld/ViT-pytorch","rank":-8.701773124615425,"score":2,"time":"2020-11-04T13:02:56Z"},{"id":24998660,"title":"PyTorch 3D: Digging Deeper in Deep Learning","url":"https://www.artiba.org/blog/pytorch-3d-digging-deeper-in-deep-learning","rank":-8.333290894816093,"score":16,"time":"2020-11-05T14:44:47Z"},{"id":25008648,"title":"Getting TensorFlow and PyTorch working on the RTX 3090, 3080, 3070","url":"https://lambdalabs.com/blog/install-tensorflow-and-pytorch-on-rtx-30-series/","rank":-7.126231333808056,"score":3,"time":"2020-11-06T16:09:50Z"},{"id":25029548,"title":"Show HN: Cleora – faster alternative to PyTorch-BigGraph","url":"https://github.com/Synerise/cleora","rank":-7.994748098554717,"score":7,"time":"2020-11-08T22:07:30Z"},{"id":25065771,"title":"The Complete Guide to PyTorch for Data Scientists","url":"https://mlwhiz.com/blog/2020/09/09/pytorch_guide/","rank":-7.994748098554717,"score":4,"time":"2020-11-12T02:30:45Z"},{"id":25068345,"title":"Detoxify: Toxic Comment Classification with Pytorch Lightning and Transformers","url":"https://github.com/unitaryai/detoxify","rank":-7.682638287284367,"score":4,"time":"2020-11-12T10:15:17Z"},{"id":25071200,"title":"PyTorch Developer Day 2020 [stream]","url":"https://www.facebook.com/pytorch/videos/1001102260293556/","rank":-9.104350122886538,"score":2,"time":"2020-11-12T16:00:20Z"},{"id":25071437,"title":"PyTorch Developer Day 2020","url":"https://www.facebook.com/1620822758218702/videos/1001102260293556","rank":-9.54598349169516,"score":1,"time":"2020-11-12T16:22:58Z"},{"id":25071703,"title":"PyTorch Developer Day [Live]","url":"https://www.facebook.com/watch/live/?v=1001102260293556&ref=watch_permalink","rank":-9.54598349169516,"score":2,"time":"2020-11-12T16:51:22Z"},{"id":25072638,"title":"Android Neural Networks API adds support for PyTorch for on-device AI processing","url":"https://siliconangle.com/2020/11/12/androids-neural-networks-api-adds-support-pytorch-enable-device-ai-processing/","rank":-6.644975975894096,"score":1,"time":"2020-11-12T18:02:11Z"},{"id":25075405,"title":"Plexiglass: PyTorch toolbox for adversarial attacks and deepfake research","url":"https://github.com/enochkan/plexiglass","rank":-7.682638287284367,"score":2,"time":"2020-11-12T21:35:16Z"},{"id":25077408,"title":"MLflow and PyTorch integration – autologging and TorchServe plugin","url":"https://medium.com/pytorch/mlflow-and-pytorch-where-cutting-edge-ai-meets-mlops-1985cf8aa789","rank":-7.994748098554717,"score":3,"time":"2020-11-13T00:46:25Z"},{"id":25086068,"title":"Facebook AI, OpenMined create PyTorch privacy and machine learning courses","url":"https://courses.openmined.org/","rank":-7.393981997272879,"score":3,"time":"2020-11-13T19:04:57Z"},{"id":25086098,"title":"PyTorch with R livestream about to start","url":"https://www.youtube.com/watch?v=w2R_e0hddKs","rank":-8.333290894816093,"score":1,"time":"2020-11-13T19:07:26Z"},{"id":25093082,"title":"PyTorch provided $600k to OpenMined to create and deliver free courses","url":"https://www.analyticsdrift.com/pytorch-joins-hands-with-openmined-to-offer-4-free-course/","rank":-7.126231333808056,"score":1,"time":"2020-11-14T16:00:46Z"},{"id":25109149,"title":"Torch-metrics: a model evaluation package for PyTorch","url":"https://github.com/enochkan/torch-metrics","rank":-7.994748098554717,"score":1,"time":"2020-11-16T07:42:44Z"},{"id":25119692,"title":"PyTorch Dynamic Quantization","url":"https://leimao.github.io/blog/PyTorch-Dynamic-Quantization/","rank":-10.032646621485735,"score":2,"time":"2020-11-17T02:28:42Z"},{"id":25129736,"title":"Pytorch for Go(lang)","url":"https://github.com/sugarme/gotch","rank":-9.54598349169516,"score":3,"time":"2020-11-17T20:58:16Z"},{"id":25146386,"title":"Building explainable PyTorch models with Captum and Fiddler","url":"https://www.youtube.com/watch?v=dvuVld5Hyc8","rank":-7.994748098554717,"score":2,"time":"2020-11-19T04:59:16Z"},{"id":25173290,"title":"Tez: A simple, to-the-point library to make your pytorch training easy","url":"https://github.com/abhishekkrthakur/tez","rank":-6.644975975894096,"score":1,"time":"2020-11-21T22:40:12Z"},{"id":25185079,"title":"Show HN: PyTorch Geometric Temporal – Deep learning for dynamic graphs","url":"https://github.com/benedekrozemberczki/pytorch_geometric_temporal","rank":-7.393981997272879,"score":0,"time":"2020-11-23T09:41:02Z"},{"id":25185694,"title":"Show HN: PyTorch Geometric Temporal – Deep learning for dynamic graphs","url":"https://github.com/benedekrozemberczki/pytorch_geometric_temporal","rank":-7.393981997272879,"score":0,"time":"2020-11-23T11:40:01Z"},{"id":25187991,"title":"Show HN: PyTorch Geometric Temporal – Deep learning for dynamic graphs","url":"https://github.com/benedekrozemberczki/pytorch_geometric_temporal","rank":-7.393981997272879,"score":0,"time":"2020-11-23T15:49:51Z"},{"id":25199722,"title":"Comprehensive Guide to the DataLoader Class and Abstractions in PyTorch","url":"https://blog.paperspace.com/dataloaders-abstractions-pytorch/","rank":-7.393981997272879,"score":2,"time":"2020-11-24T16:11:39Z"},{"id":25209337,"title":"Review: Deep Learning with PyTorch","url":"https://bdtechtalks.com/2020/11/25/deep-learning-with-pytorch-review/","rank":-9.104350122886538,"score":3,"time":"2020-11-25T14:07:38Z"},{"id":25218957,"title":"Show HN: PyTorch Geometric Temporal – Deep learning for dynamic graphs","url":"https://github.com/benedekrozemberczki/pytorch_geometric_temporal","rank":-7.393981997272879,"score":2,"time":"2020-11-26T11:22:04Z"},{"id":25223181,"title":"Show HN: Re-implementation of Pelee object detector in Pytorch from Caffe","url":"https://github.com/vc-30/pelee_object_detection_pytorch","rank":-6.87719456208556,"score":1,"time":"2020-11-26T20:12:37Z"},{"id":25242804,"title":"PyTorch Static Quantization","url":"https://leimao.github.io/blog/PyTorch-Static-Quantization/","rank":-10.032646621485735,"score":3,"time":"2020-11-29T03:51:06Z"},{"id":25272632,"title":"PyTorch / XLA now generally available on Cloud TPUs","url":"https://cloud.google.com/blog/products/ai-machine-learning/pytorch-is-now-ga-on-google-cloud-tpus","rank":-7.994748098554717,"score":2,"time":"2020-12-02T02:29:54Z"},{"id":25276768,"title":"Show HN: Remote – A CLI tool for distributed PyTorch model training","url":"https://github.com/lab-ml/remote/blob/master/notes/pytorch-ddp.md","rank":-7.126231333808056,"score":2,"time":"2020-12-02T14:47:21Z"},{"id":25327146,"title":"Show HN: NeurIPS Demo, Visual Design of Neural Networks with PyTorch","url":"https://prototypeml.com/neurips2020","rank":-7.126231333808056,"score":0,"time":"2020-12-06T22:16:39Z"},{"id":25337902,"title":"PyTorch 1.6 now includes Stochastic Weight Averaging","url":"https://pytorch.org/blog/pytorch-1.6-now-includes-stochastic-weight-averaging/","rank":-7.994748098554717,"score":1,"time":"2020-12-07T21:36:27Z"},{"id":25357213,"title":"Monitor PyTorch and TensorFlow model training on mobile phones","url":"https://github.com/lab-ml/app/blob/master/docs/release-latest.md","rank":-7.682638287284367,"score":1,"time":"2020-12-09T10:32:10Z"},{"id":25362714,"title":"Graphcore Announces Production Release of Pytorch for IPU","url":"https://medium.com/pytorch/graphcore-announces-production-release-of-pytorch-for-ipu-f1a846de1a2f","rank":-7.994748098554717,"score":1,"time":"2020-12-09T18:59:40Z"},{"id":25363246,"title":"PyTorch for the Graphcore IPU","url":"https://docs.graphcore.ai/projects/poptorch-user-guide/en/latest/","rank":-9.104350122886538,"score":1,"time":"2020-12-09T19:28:26Z"},{"id":25374982,"title":"A PyTorch Tools, best practices and Styleguide","url":"https://github.com/IgorSusmelj/pytorch-styleguide","rank":-8.333290894816093,"score":1,"time":"2020-12-10T15:52:39Z"},{"id":25376545,"title":"PyTorch 1.7.1 Release: binaries for Python 3.9 and cuDNN 8.0.5","url":"https://github.com/pytorch/pytorch/releases/tag/v1.7.1","rank":-6.224609773336247,"score":3,"time":"2020-12-10T18:12:14Z"},{"id":25398239,"title":"Sharded training – How to double the size of PyTorch models","url":"https://towardsdatascience.com/sharded-a-new-technique-to-double-the-size-of-pytorch-models-3af057466dba","rank":-7.393981997272879,"score":1,"time":"2020-12-12T13:57:59Z"},{"id":25399867,"title":"PyTorch Dynamic Quantization","url":"https://leimao.github.io/blog/PyTorch-Dynamic-Quantization/","rank":-10.032646621485735,"score":3,"time":"2020-12-12T17:27:01Z"},{"id":25430587,"title":"Gumbel Softmax Loss Function Guide and How to Implement It in PyTorch","url":"https://neptune.ai/blog/gumbel-softmax-loss-function-guide-how-to-implement-it-in-pytorch","rank":-6.87719456208556,"score":1,"time":"2020-12-15T14:28:46Z"},{"id":25432319,"title":"Streamlit, Python, PyTorch and Scikit ML code generator – traingenerator","url":"https://twitter.com/carlcarrie/status/1338894673293824002","rank":-7.682638287284367,"score":5,"time":"2020-12-15T17:14:31Z"},{"id":25437855,"title":"PyTorch Quantization Aware Training","url":"https://leimao.github.io/blog/PyTorch-Quantization-Aware-Training/","rank":-9.54598349169516,"score":3,"time":"2020-12-16T01:21:14Z"},{"id":25448868,"title":"Show HN: NLP PyTorch Tutorial (fire up the GPUs)","url":"https://github.com/will-thompson-k/deeplearning-nlp-models","rank":-7.682638287284367,"score":1,"time":"2020-12-16T21:21:52Z"},{"id":25508269,"title":"Optimizing models using the PyTorch JIT","url":"https://lernapparat.de/jit-optimization-intro/","rank":-8.701773124615425,"score":3,"time":"2020-12-22T16:51:27Z"},{"id":25508925,"title":"PyTorch Dynamic Quantization","url":"https://leimao.github.io/blog/PyTorch-Dynamic-Quantization/","rank":-10.032646621485735,"score":1,"time":"2020-12-22T17:40:58Z"},{"id":25555837,"title":"Optimizing models using the PyTorch JIT","url":"https://lernapparat.de/jit-optimization-intro/","rank":-8.701773124615425,"score":1,"time":"2020-12-28T01:21:11Z"},{"id":25576996,"title":"December PyTorch Lightning Talks","url":"https://www.youtube.com/watch?v=MjURy6Ow5D8","rank":-9.54598349169516,"score":1,"time":"2020-12-30T00:45:58Z"},{"id":25614089,"title":"Show HN: Easy generative modeling in PyTorch with pytorch-generative","url":"https://github.com/EugenHotaj/pytorch-generative","rank":-10.396434586537026,"score":1,"time":"2021-01-02T16:51:46Z"},{"id":25618330,"title":"PyTorch Quantization Aware Training","url":"https://leimao.github.io/blog/PyTorch-Quantization-Aware-Training/","rank":-9.54598349169516,"score":1,"time":"2021-01-03T01:02:39Z"},{"id":25629562,"title":"Torchdyn: A PyTorch based library for all things neural differential equations","url":"https://github.com/DiffEqML/torchdyn","rank":-7.126231333808056,"score":1,"time":"2021-01-04T10:26:37Z"},{"id":25666870,"title":"Transformers from Scratch in PyTorch – By Frank Odom – The DL","url":"https://medium.com/the-dl/transformers-from-scratch-in-pytorch-8777e346ca51","rank":-7.393981997272879,"score":3,"time":"2021-01-07T03:19:27Z"},{"id":25669403,"title":"You like pytorch? You like micrograd? You love tinygrad","url":"https://github.com/geohot/tinygrad","rank":-7.682638287284367,"score":1,"time":"2021-01-07T10:21:26Z"},{"id":25687196,"title":"Replicate 0.3.0: Background uploads, PyTorch Lightning integration, and more","url":"https://github.com/replicate/replicate/releases/tag/v0.3.0","rank":-7.126231333808056,"score":2,"time":"2021-01-08T17:32:20Z"},{"id":25731636,"title":"Show HN: PyTorch Geometric Temporal – Deep Learning for Temporal Graphs","url":"https://github.com/benedekrozemberczki/PyTorch_Geometric_Temporal","rank":-7.393981997272879,"score":1,"time":"2021-01-11T16:52:44Z"},{"id":25821861,"title":"Faster ODE solving in PyTorch using a silly approach","url":"https://github.com/juliusbierk/torchsillyode","rank":-7.682638287284367,"score":1,"time":"2021-01-18T14:03:06Z"},{"id":25848922,"title":"Show HN: Piqa – PyTorch Image Quality Assessment Package","url":"https://github.com/francois-rozet/piqa","rank":-7.994748098554717,"score":1,"time":"2021-01-20T17:11:36Z"},{"id":25850566,"title":"Tips for Training Time Series Forecasting Models in PyTorch","url":"https://towardsdatascience.com/training-time-series-forecasting-models-in-pytorch-81ef9a66bd3a","rank":-7.682638287284367,"score":1,"time":"2021-01-20T19:11:19Z"},{"id":25853230,"title":"Coding Deep Q-Learning in PyTorch","url":"https://www.youtube.com/watch?v=NP8pXZdU-5U","rank":-8.701773124615425,"score":2,"time":"2021-01-20T23:20:46Z"},{"id":25868284,"title":"Virtual Meetup Intro to Deep Learning with PyTorch Lightning","url":"https://zoom.us/webinar/register/5616111671078/WN_ebZZPNT4SvuhWQ8M7QOYVg","rank":-7.682638287284367,"score":2,"time":"2021-01-22T04:21:23Z"},{"id":25916128,"title":"How to Keep Track of Experiments in PyTorch Using Neptune","url":"https://neptune.ai/blog/how-to-keep-track-of-experiments-in-pytorch-using-neptune","rank":-7.393981997272879,"score":1,"time":"2021-01-26T14:33:07Z"},{"id":25919527,"title":"PyTorch and Ml.net Inference Performance Comparison","url":"https://dasha.ai/en-us/blog/pytorch-ml.net-inference-performance-comparison","rank":-8.333290894816093,"score":1,"time":"2021-01-26T18:38:15Z"},{"id":25972207,"title":"Show HN: I'm Open-Sourcing Graph Attention Network (GAT) PyTorch","url":"https://github.com/gordicaleksa/pytorch-GAT","rank":-7.126231333808056,"score":6,"time":"2021-01-30T19:38:10Z"},{"id":25982240,"title":"Lambda Stack: 2-Minute Install for PyTorch, TensorFlow, CUDA, CuDNN","url":"https://lambdalabs.com/blog/install-tensorflow-and-pytorch-on-rtx-30-series/","rank":-7.393981997272879,"score":4,"time":"2021-01-31T20:26:18Z"},{"id":25983360,"title":"TackleBox – Improved handling of PyTorch module hooks","url":"http://github.com/isaacre/tacklebox","rank":-8.333290894816093,"score":2,"time":"2021-01-31T22:45:13Z"},{"id":25983659,"title":"Double Q-Learning in Pytorch Coding Tutorial","url":"https://www.youtube.com/watch?v=QeRQLhULF90","rank":-8.333290894816093,"score":1,"time":"2021-01-31T23:22:28Z"},{"id":26012231,"title":"Embedded Covid mask detection on an Arm Cortex-M7 processor using PyTorch","url":"https://lightly.ai/post/embedded-covid-mask-detection-on-an-arm-m7-using-pytorch","rank":-6.87719456208556,"score":2,"time":"2021-02-03T10:07:29Z"},{"id":26015088,"title":"PyTorch Pruning","url":"https://leimao.github.io/blog/PyTorch-Pruning/","rank":-10.571596455451935,"score":2,"time":"2021-02-03T16:17:02Z"},{"id":26032100,"title":"PyTorch Lightning is copying an existing API without credit","url":"https://twitter.com/jeremyphoward/status/1357470475497009154","rank":-7.682638287284367,"score":7,"time":"2021-02-05T01:44:09Z"},{"id":26036534,"title":"Transformers: Natural Language Processing for Pytorch and TensorFlow 2.0","url":"https://github.com/huggingface/transformers","rank":-7.393981997272879,"score":1,"time":"2021-02-05T14:17:48Z"},{"id":26038245,"title":"Pytorch CPU Performance Improvements","url":"https://medium.com/pytorch/accelerate-pytorch-with-ipex-and-onednn-using-intel-bf16-technology-dca5b8e6b58f","rank":-9.54598349169516,"score":2,"time":"2021-02-05T16:46:36Z"},{"id":26040434,"title":"Master PyTorch by Reading Code","url":"https://pages.edmarferreira.com/pytorch-study-group","rank":-9.104350122886538,"score":1,"time":"2021-02-05T19:51:17Z"},{"id":26069209,"title":"Deep Learning for Time Series Forecasting with Flow Forecast (Built in PyTorch)","url":"https://github.com/AIStream-Peelout/flow-forecast","rank":-6.87719456208556,"score":1,"time":"2021-02-08T19:48:25Z"},{"id":26072327,"title":"The Evolution of PyTorch Lightning","url":"https://www.notion.so/The-Evolution-of-PyTorch-Lightning-3fef02f6ea9b4b9fbaae5d32f3e1e09b","rank":-9.104350122886538,"score":3,"time":"2021-02-09T00:30:09Z"},{"id":26072937,"title":"PyTorch Pruning","url":"https://leimao.github.io/blog/PyTorch-Pruning/","rank":-10.571596455451935,"score":1,"time":"2021-02-09T01:57:53Z"},{"id":26123179,"title":"Show HN: Pytorch Geometric Temporal","url":"https://github.com/benedekrozemberczki/Pytorch_Geometric_temporal","rank":-9.104350122886538,"score":1,"time":"2021-02-13T12:14:29Z"},{"id":26190698,"title":"Getting Started with Distributed Machine Learning with PyTorch and Ray","url":"https://medium.com/pytorch/getting-started-with-distributed-machine-learning-with-pytorch-and-ray-fd83c98fdead","rank":-7.393981997272879,"score":3,"time":"2021-02-19T07:57:13Z"},{"id":26192005,"title":"Compressive transformer PyTorch implementation with notes","url":"https://nn.labml.ai/transformers/compressive/index.html","rank":-8.701773124615425,"score":4,"time":"2021-02-19T11:34:03Z"},{"id":26195753,"title":"PyTorch Lightning v1.2.0- DeepSpeed, Pruning, Quantization, SWA","url":"https://pytorch-lightning.medium.com/pytorch-lightning-v1-2-0-43a032ade82b","rank":-7.682638287284367,"score":1,"time":"2021-02-19T17:51:46Z"},{"id":26210746,"title":"Lightweight, Efficient and Stable DRL Implementation Using PyTorch","url":"https://github.com/AI4Finance-LLC/ElegantRL","rank":-7.994748098554717,"score":2,"time":"2021-02-21T04:15:41Z"},{"id":26242953,"title":"Embedded Covid mask detection on an Arm Cortex-M7 processor using PyTorch","url":"https://dev.to/igorsusmelj/embedded-covid-mask-detection-on-an-arm-cortex-m7-processor-using-pytorch-b4d","rank":-6.87719456208556,"score":1,"time":"2021-02-23T21:13:10Z"},{"id":26255953,"title":"PyTorch: From Centralized to Federated","url":"https://flower.dev/blog/2021-02-24-pytorch-from-centralized-to-federated","rank":-9.104350122886538,"score":3,"time":"2021-02-24T21:08:16Z"},{"id":26260963,"title":"PyTorch: From Centralized to Federated","url":"https://flower.dev/blog/2021-02-24-pytorch-from-centralized-to-federated","rank":-9.104350122886538,"score":1,"time":"2021-02-25T08:44:49Z"},{"id":26262782,"title":"PyTorch Lightning vs. Ignite: What Are the Differences?","url":"https://neptune.ai/blog/pytorch-lightning-vs-ignite-differences","rank":-7.994748098554717,"score":1,"time":"2021-02-25T14:02:15Z"},{"id":26274149,"title":"Training a Multi-Label Emotion Classifier with Tez and PyTorch","url":"https://medium.com/@ahmedbesbes/training-a-multi-label-emotion-classifier-with-tez-and-pytorch-af04c899a63a","rank":-7.393981997272879,"score":1,"time":"2021-02-26T12:37:37Z"},{"id":26281860,"title":"PyTorch Pruning","url":"https://leimao.github.io/blog/PyTorch-Pruning/","rank":-10.571596455451935,"score":1,"time":"2021-02-27T01:32:32Z"},{"id":26294881,"title":"PyTorch Pruning","url":"https://leimao.github.io/blog/PyTorch-Pruning/","rank":-10.571596455451935,"score":1,"time":"2021-02-28T17:14:03Z"},{"id":26319458,"title":"Getting Started with Distributed Machine Learning with PyTorch and Ray","url":"https://medium.com/distributed-computing-with-ray/getting-started-with-distributed-machine-learning-with-pytorch-and-ray-27175a1b4f25","rank":-7.393981997272879,"score":1,"time":"2021-03-02T19:36:08Z"},{"id":26348170,"title":"PyTorch 1.8 Release, including Compiler and Distributed Training updates","url":"https://github.com/pytorch/pytorch/releases/tag/v1.8.0","rank":-7.393981997272879,"score":6,"time":"2021-03-04T20:55:38Z"},{"id":26349802,"title":"PyTorch 1.8","url":"https://pytorch.org/blog/pytorch-1.8-released/","rank":-10.032646621485735,"score":26,"time":"2021-03-04T23:07:57Z"},{"id":26353184,"title":"PyTorch 1.8 release with AMD ROCm support","url":"https://github.com/pytorch/pytorch/releases/tag/v1.8.0","rank":-7.994748098554717,"score":313,"time":"2021-03-05T05:38:02Z"},{"id":26380487,"title":"Simple Copulas in Pytorch","url":"https://jparkhill.github.io/2021/01/06/MultivariateGumbel.html","rank":-9.54598349169516,"score":3,"time":"2021-03-07T22:39:51Z"},{"id":26385812,"title":"Your Own few-shot classification model ready in 15mn with PyTorch","url":"https://colab.research.google.com/github/sicara/tuto-fsl/blob/master/notebooks/my_first_few_shot_classifier.ipynb","rank":-7.126231333808056,"score":1,"time":"2021-03-08T14:02:22Z"},{"id":26439734,"title":"Jax vs. TensorFlow vs. Pytorch vs. Julia","url":"https://www.reddit.com/r/Julia/comments/iblm9g/comment/g1xpg15","rank":-8.333290894816093,"score":17,"time":"2021-03-12T19:21:37Z"},{"id":26454055,"title":"PyTorch Code for Self-Attention Computer Vision","url":"https://analyticsindiamag.com/pytorch-code-for-self-attention-computer-vision/","rank":-8.333290894816093,"score":1,"time":"2021-03-14T10:08:36Z"},{"id":26464173,"title":"Guide to PyTorch Metric Learning: A Library for Implementing Metric Learning","url":"https://analyticsindiamag.com/guide-to-pytorch-metric-learning-a-library-for-implementing-metric-learning-algorithms/","rank":-7.126231333808056,"score":1,"time":"2021-03-15T10:08:21Z"},{"id":26466688,"title":"SpeechBrain: A PyTorch Powered Speech Toolkit","url":"https://speechbrain.github.io/","rank":-8.701773124615425,"score":5,"time":"2021-03-15T14:50:06Z"},{"id":26472433,"title":"Building an end-to-end Speech Recognition model in PyTorch","url":"https://www.comet.ml/site/customer-case-study-building-an-end-to-end-speech-recognition-model-in-pytorch-with-assemblyai/","rank":-7.393981997272879,"score":0,"time":"2021-03-16T03:01:16Z"},{"id":26476604,"title":"A PyTorch-based speech toolkit","url":"https://github.com/speechbrain/speechbrain","rank":-9.104350122886538,"score":2,"time":"2021-03-16T13:46:32Z"},{"id":26510477,"title":"Building an end-to-end Speech Recognition model in PyTorch with AssemblyAI","url":"https://www.comet.ml/site/customer-case-study-building-an-end-to-end-speech-recognition-model-in-pytorch-with-assemblyai/","rank":-6.87719456208556,"score":2,"time":"2021-03-19T05:59:20Z"},{"id":26572864,"title":"Introducing PyTorch Learn the Basics Tutorial","url":"https://medium.com/pytorch/introducing-pytorch-learn-the-basics-tutorial-b4f5c061890e","rank":-8.701773124615425,"score":1,"time":"2021-03-24T21:02:26Z"},{"id":26575497,"title":"Train custom Minimum-distortion embeddings with PyTorch on GPU","url":"https://twitter.com/akshaykagrawal/status/1374774666565361664","rank":-7.682638287284367,"score":2,"time":"2021-03-25T01:26:20Z"},{"id":26577898,"title":"PyTorch for AMD ROCm Platform now available as Python package","url":"https://pytorch.org/blog/pytorch-for-amd-rocm-platform-now-available-as-python-package/","rank":-7.393981997272879,"score":2,"time":"2021-03-25T09:09:06Z"},{"id":26584919,"title":"PyTorch Profiler is the new and improved performance tool","url":"https://pytorch.org/blog/introducing-pytorch-profiler-the-new-and-improved-performance-tool/","rank":-7.682638287284367,"score":7,"time":"2021-03-25T20:24:23Z"},{"id":26588975,"title":"PyTorch Pruning","url":"https://leimao.github.io/blog/PyTorch-Pruning/","rank":-10.571596455451935,"score":1,"time":"2021-03-26T05:20:10Z"},{"id":26589673,"title":"Converting PyTorch and TensorFlow Models into Apple Core ML Using CoreMLTools","url":"https://analyticsindiamag.com/converting-pytorch-and-tensorflow-models-into-apple-core-ml-using-coremltools/","rank":-7.126231333808056,"score":1,"time":"2021-03-26T07:45:01Z"},{"id":26594772,"title":"PyTorch Profiler – the new and improved performance tool","url":"https://pytorch.org/blog/introducing-pytorch-profiler-the-new-and-improved-performance-tool/","rank":-7.994748098554717,"score":1,"time":"2021-03-26T17:35:38Z"},{"id":26618982,"title":"Spatiotemporal Deep Learning with PyTorch Geometric Temporal","url":"https://github.com/benedekrozemberczki/PyTorch_Geometric_Temporal","rank":-8.333290894816093,"score":1,"time":"2021-03-29T08:51:14Z"},{"id":26638144,"title":"We scaled minGPT to 45B parameters with PyTorch Lightning","url":"https://medium.com/pytorch-lightning/accessible-multi-billion-parameter-model-training-with-pytorch-lightning-deepspeed-c9333ac3bb59","rank":-7.682638287284367,"score":1,"time":"2021-03-30T18:11:41Z"},{"id":26639600,"title":"Multi-Billion Parameter Model Training with PyTorch Lightning and DeepSpeed","url":"https://medium.com/pytorch-lightning/accessible-multi-billion-parameter-model-training-with-pytorch-lightning-deepspeed-c9333ac3bb59","rank":-7.393981997272879,"score":3,"time":"2021-03-30T19:57:50Z"},{"id":26715744,"title":"Training larger-than-memory PyTorch models using gradient checkpointing","url":"https://spell.ml/blog/gradient-checkpointing-pytorch-YGypLBAAACEAefHs","rank":-7.682638287284367,"score":2,"time":"2021-04-06T18:48:34Z"},{"id":26722687,"title":"Improve PyTorch App Performance with Android Nnapi Support","url":"https://community.arm.com/developer/ip-products/processors/b/ml-ip-blog/posts/improve-pytorch-app-performance-with-android-nnapi-support-386430784","rank":-7.994748098554717,"score":1,"time":"2021-04-07T10:11:18Z"},{"id":26726971,"title":"Simple pytorch MLE to remove the carry costs of VIX futures","url":"https://jparkhill.netlify.app/holdingvix/","rank":-7.126231333808056,"score":1,"time":"2021-04-07T16:11:08Z"},{"id":26733030,"title":"Latest Innovations with Grid.ai and PyTorch Lightning","url":"https://zoom.us/webinar/register/1716176774061/WN_yW66h71HSz-MXWNGAu6OOg","rank":-7.994748098554717,"score":2,"time":"2021-04-07T23:34:37Z"},{"id":26734932,"title":"PreferredNetworks Migrates Its Deep Learning Research Platform to PyTorch (2019)","url":"https://www.preferred.jp/en/news/pr20191205/","rank":-7.393981997272879,"score":1,"time":"2021-04-08T03:53:24Z"},{"id":26737069,"title":"OCR Baselines Based on PyTorch","url":"https://github.com/open-mmlab/mmocr","rank":-9.104350122886538,"score":1,"time":"2021-04-08T10:21:32Z"},{"id":26747692,"title":"Lambda Stack: One-Line Install for TensorFlow, Pytorch, CUDA, and CuDNN","url":"https://lambdalabs.com/blog/install-tensorflow-and-pytorch-on-rtx-30-series/","rank":-7.126231333808056,"score":3,"time":"2021-04-09T07:37:26Z"},{"id":26759611,"title":"PyTorch Pruning","url":"https://leimao.github.io/blog/PyTorch-Pruning/","rank":-10.571596455451935,"score":1,"time":"2021-04-10T07:16:03Z"},{"id":26767441,"title":"Using PyTorch and NumPy? You're making a mistake","url":"https://tanelp.github.io/posts/a-bug-that-plagues-thousands-of-open-source-ml-projects/","rank":-7.682638287284367,"score":261,"time":"2021-04-11T04:14:50Z"},{"id":26769478,"title":"Show HN: Machine Learning on Spatiotemporal Data – PyTorch Geometric Temporal","url":"https://github.com/benedekrozemberczki/PyTorch_geometric_temporal","rank":-7.393981997272879,"score":10,"time":"2021-04-11T11:20:35Z"},{"id":26776742,"title":"Latest Innovations with Grid.ai and PyTorch Lightning","url":"https://www.linkedin.com/events/virtualevent-latestinnovationsw6785673650990387200/","rank":-7.994748098554717,"score":2,"time":"2021-04-12T07:10:30Z"},{"id":26793361,"title":"PyTorch Pruning","url":"https://leimao.github.io/blog/PyTorch-Pruning/","rank":-10.571596455451935,"score":1,"time":"2021-04-13T15:16:03Z"},{"id":26900564,"title":"PyTorch vs. TensorFlow: comparing deep learning frameworks","url":"https://www.imaginarycloud.com/blog/pytorch-vs-tensorflow/","rank":-8.333290894816093,"score":1,"time":"2021-04-22T09:19:05Z"},{"id":26904880,"title":"PyTorch vs. TensorFlow","url":"https://www.imaginarycloud.com/blog/pytorch-vs-tensorflow/","rank":-10.032646621485735,"score":1,"time":"2021-04-22T16:46:20Z"},{"id":26928034,"title":"Show HN: Deep Learning for Windmill Output Forecasting with PyTorch","url":"https://github.com/Benedekrozemberczki/Pytorch_geometric_temporal","rank":-7.393981997272879,"score":1,"time":"2021-04-24T20:27:36Z"},{"id":26940538,"title":"Show HN: Super-resolution networks and datasets in Pytorch","url":"https://github.com/Coloquinte/torchSR","rank":-7.682638287284367,"score":1,"time":"2021-04-26T08:40:37Z"},{"id":26966057,"title":"Annotated PyTorch implementations of various deep learning normalization layers","url":"https://nn.labml.ai/normalization/index.html","rank":-7.682638287284367,"score":20,"time":"2021-04-28T05:45:15Z"},{"id":26998573,"title":"Solving PDE's with PyTorch","url":"https://jparkhill.github.io/SolvingDiffusions/","rank":-9.104350122886538,"score":2,"time":"2021-04-30T20:03:42Z"},{"id":27041403,"title":"PyTorch-Compatible Differentiable Physics Engine","url":"https://github.com/keenon/nimblephysics","rank":-9.104350122886538,"score":2,"time":"2021-05-04T18:55:18Z"},{"id":27058621,"title":"PyTorch Developer Podcast","url":"https://pytorch-dev-podcast.simplecast.com/","rank":-10.032646621485735,"score":1,"time":"2021-05-06T02:49:20Z"},{"id":27062134,"title":"Getting Started with Google Colab Using PyTorch","url":"https://www.manning.com/liveproject/getting-started-with-Google-Colab-using-PyTorch","rank":-8.333290894816093,"score":1,"time":"2021-05-06T12:22:57Z"},{"id":27068815,"title":"How and why to create custom handlers for PyTorch’s TorchServe","url":"https://pento.ai/blog/custom-torchserve-handlers","rank":-7.126231333808056,"score":3,"time":"2021-05-06T20:42:05Z"},{"id":27080178,"title":"PyTorch’s TorchServe: How and why to create custom handlers","url":"https://pento.ai/blog/custom-torchserve-handlers","rank":-7.393981997272879,"score":2,"time":"2021-05-07T19:53:48Z"},{"id":27095128,"title":"Show HN: MLP PyTorch Kaggle","url":"https://www.kaggle.com/pr2tik1/multi-layered-perceptron-pytorch","rank":-9.104350122886538,"score":1,"time":"2021-05-09T11:28:28Z"},{"id":27095131,"title":"Show HN: Basics of CNN PyTorch Kaggle","url":"https://www.kaggle.com/pr2tik1/basics-of-cnn-in-pytorch","rank":-8.333290894816093,"score":3,"time":"2021-05-09T11:29:11Z"},{"id":27135334,"title":"Pytorch Image Models","url":"https://rwightman.github.io/pytorch-image-models/","rank":-10.032646621485735,"score":2,"time":"2021-05-12T21:26:48Z"},{"id":27174564,"title":"Accelerate – Run PyTorch training on any kind of device","url":"https://huggingface.co/blog/accelerate-library","rank":-7.682638287284367,"score":2,"time":"2021-05-16T16:02:50Z"},{"id":27184774,"title":"PyTorch Profiler","url":"https://pytorch.org/blog/introducing-pytorch-profiler-the-new-and-improved-performance-tool/","rank":-10.571596455451935,"score":1,"time":"2021-05-17T15:45:52Z"},{"id":27193470,"title":"Dump IR by PyTorch Glow Compiler","url":"https://www.lewuathe.com/dump-ir-by-glow-compiler.html","rank":-8.701773124615425,"score":1,"time":"2021-05-18T11:49:41Z"},{"id":27244893,"title":"Show HN: StyleGAN2 implementation in PyTorch with side-by-side notes/diagrams","url":"https://nn.labml.ai/gan/stylegan/index.html","rank":-6.87719456208556,"score":1,"time":"2021-05-22T09:14:02Z"},{"id":27277925,"title":"Microsoft Azure launches enterprise support for PyTorch","url":"https://techcrunch.com/2021/05/25/microsoft-azure-launches-pytorch-enterprise/","rank":-8.333290894816093,"score":4,"time":"2021-05-25T15:16:32Z"},{"id":27369502,"title":"How to Code Bert Using PyTorch – Tutorial with Examples","url":"https://neptune.ai/blog/how-to-code-bert-using-pytorch-tutorial","rank":-7.682638287284367,"score":1,"time":"2021-06-02T15:03:10Z"},{"id":27370747,"title":"Annotated PyTorch Implementation of Attention Free Transformer","url":"https://nn.labml.ai/transformers/aft/index.html","rank":-8.333290894816093,"score":2,"time":"2021-06-02T16:35:03Z"},{"id":27372849,"title":"PyTorch builds the future of AI and machine learning at Facebook","url":"https://ai.facebook.com/blog/pytorch-builds-the-future-of-ai-and-machine-learning-at-facebook/","rank":-7.126231333808056,"score":3,"time":"2021-06-02T19:21:45Z"},{"id":27499654,"title":"Facebook moving AI to Pytorch fully","url":"https://ai.facebook.com/blog/pytorch-builds-the-future-of-ai-and-machine-learning-at-facebook/","rank":-8.701773124615425,"score":1,"time":"2021-06-14T05:44:36Z"},{"id":27504799,"title":"Pytorch-widedeep, deep learning for tabular data: Deep Learning vs. LightGBM","url":"https://towardsdatascience.com/pytorch-widedeep-deep-learning-for-tabular-data-iv-deep-learning-vs-lightgbm-cadcbf571eaf","rank":-7.126231333808056,"score":1,"time":"2021-06-14T16:44:09Z"},{"id":27506617,"title":"Pytorch-widedeep, deep learning for tabular data IV: Deep Learning vs. LightGBM","url":"https://towardsdatascience.com/pytorch-widedeep-deep-learning-for-tabular-data-iv-deep-learning-vs-lightgbm-cadcbf571eaf","rank":-6.87719456208556,"score":1,"time":"2021-06-14T18:50:18Z"},{"id":27511463,"title":"PyTorch Forecasting","url":"https://pytorch-forecasting.readthedocs.io/en/latest/","rank":-10.571596455451935,"score":1,"time":"2021-06-15T04:57:25Z"},{"id":27518073,"title":"PyTorch 1.9","url":"https://pytorch.org/blog/pytorch-1.9-released/","rank":-10.032646621485735,"score":7,"time":"2021-06-15T16:51:39Z"},{"id":27518125,"title":"New PyTorch Library Releases in PyTorch 1.9, Incl TorchVision, TorchAudio","url":"https://pytorch.org/blog/pytorch-1.9-new-library-releases/","rank":-10.128882577424061,"score":1,"time":"2021-06-15T16:55:01Z"},{"id":27523070,"title":"SpeechBrain: A PyTorch Speech Toolkit","url":"https://speechbrain.github.io/","rank":-9.104350122886538,"score":2,"time":"2021-06-15T23:43:19Z"},{"id":27527424,"title":"Pytorch 1.9","url":"https://pytorch.org/blog/pytorch-1.9-released/","rank":-10.032646621485735,"score":2,"time":"2021-06-16T11:48:14Z"},{"id":27531845,"title":"Show HN: Deep learning with spiking neural networks (SNNs) in PyTorch","url":"https://github.com/norse/norse","rank":-7.126231333808056,"score":3,"time":"2021-06-16T18:30:40Z"},{"id":27532620,"title":"PyTorch builds the future of AI and machine learning at Facebook","url":"https://ai.facebook.com/blog/pytorch-builds-the-future-of-ai-and-machine-learning-at-facebook/","rank":-7.126231333808056,"score":4,"time":"2021-06-16T19:43:46Z"},{"id":27535344,"title":"Show HN: H5records – simple large dataset for pytorch training","url":"https://github.com/theblackcat102/H5Record","rank":-7.682638287284367,"score":5,"time":"2021-06-17T01:28:00Z"},{"id":27542021,"title":"PyTorch at Facebook","url":"https://ai.facebook.com/blog/pytorch-builds-the-future-of-ai-and-machine-learning-at-facebook/","rank":-10.032646621485735,"score":2,"time":"2021-06-17T17:19:32Z"},{"id":27560499,"title":"Training Models on All 8 TPU Cores with PyTorch XLA","url":"https://rishtech.substack.com","rank":-7.393981997272879,"score":1,"time":"2021-06-19T13:58:48Z"},{"id":27583977,"title":"PyTorch Internals","url":"http://blog.ezyang.com/2019/05/pytorch-internals/","rank":-10.571596455451935,"score":5,"time":"2021-06-21T20:26:27Z"},{"id":27659448,"title":"Kornia 0.5.5: Stereo Camera, update to PyTorch 1.9.0 and better documentation","url":"https://kornia.github.io/kornia-blog/release/2021/06/27/kornia-release-055.html","rank":-6.224609773336247,"score":1,"time":"2021-06-28T08:46:34Z"},{"id":27664456,"title":"Polymetis: Real-Time PyTorch Controllers, from Facebook AI Research","url":"https://polymetis-docs.github.io/","rank":-7.682638287284367,"score":1,"time":"2021-06-28T17:05:44Z"},{"id":27667923,"title":"Training Compact Transformers from Scratch in 30 Minutes with PyTorch","url":"https://medium.com/pytorch/training-compact-transformers-from-scratch-in-30-minutes-with-pytorch-ff5c21668ed5","rank":-7.393981997272879,"score":3,"time":"2021-06-28T20:50:57Z"},{"id":27673899,"title":"Complement Objective Training with Pytorch Lightning","url":"https://www.lighttag.io/blog/complement-objective-training-with-pytorch-lightning/","rank":-8.701773124615425,"score":4,"time":"2021-06-29T10:10:36Z"},{"id":27674008,"title":"Pytorch-widedeep v1.0: deep learning for tabular data","url":"https://github.com/jrzaurin/pytorch-widedeep","rank":-7.682638287284367,"score":1,"time":"2021-06-29T10:33:14Z"},{"id":27687066,"title":"Why should I choose OneFlow Over TensorFlow or PyTorch?","url":"https://github.com/Oneflow-Inc/oneflow","rank":-7.682638287284367,"score":1,"time":"2021-06-30T10:53:46Z"},{"id":27694101,"title":"PyTorch Community Voices: Distributed PyTorch","url":"https://www.youtube.com/watch?v=3EOXDJPzSsY","rank":-11.978477693750579,"score":1,"time":"2021-06-30T22:17:59Z"},{"id":27697114,"title":"PyTorch Mobile","url":"https://pytorch.org/mobile/home/","rank":-10.571596455451935,"score":4,"time":"2021-07-01T07:36:55Z"},{"id":27821929,"title":"VeGANs: Various existing GANs (and other generative models) in PyTorch","url":"https://github.com/unit8co/vegans/","rank":-7.393981997272879,"score":2,"time":"2021-07-13T15:09:53Z"},{"id":27833503,"title":"An Overview of the PyTorch Mobile Demo Apps","url":"https://pytorch.org/blog/mobile-demo-apps-overview/","rank":-7.994748098554717,"score":1,"time":"2021-07-14T14:35:58Z"},{"id":27870962,"title":"Vision Transformer (ViT) implementation in PyTorch with notes","url":"https://nn.labml.ai/transformers/vit/index.html","rank":-7.994748098554717,"score":1,"time":"2021-07-18T05:34:57Z"},{"id":27904729,"title":"Useful Algorithms That Are Not Optimized by Jax, PyTorch, or TensorFlow","url":"https://www.stochasticlifestyle.com/useful-algorithms-that-are-not-optimized-by-jax-pytorch-or-tensorflow/","rank":-7.126231333808056,"score":214,"time":"2021-07-21T11:10:32Z"},{"id":27997647,"title":"TRTorch: PyTorch/TorchScript Compiler for Nvidia GPUs Using TensorRT","url":"https://github.com/NVIDIA/TRTorch","rank":-7.682638287284367,"score":1,"time":"2021-07-29T15:26:02Z"},{"id":28020447,"title":"Implementing a Linear-Chain Conditional Random Field (CRF) in PyTorch","url":"https://towardsdatascience.com/implementing-a-linear-chain-conditional-random-field-crf-in-pytorch-16b0b9c4b4ea","rank":-7.393981997272879,"score":1,"time":"2021-07-31T18:19:23Z"},{"id":28025111,"title":"PyTorch Lightning 1.4 with TPU Pods, IPU Hardware, Fully Sharded Data-Parallel","url":"https://devblog.pytorchlightning.ai/announcing-lightning-1-4-8cd20482aee9","rank":-6.644975975894096,"score":2,"time":"2021-08-01T09:50:43Z"},{"id":28037389,"title":"Packaging your PyTorch project in Docker","url":"https://www.photoroom.com/tech/packaging-pytorch-in-docker/","rank":-8.701773124615425,"score":2,"time":"2021-08-02T15:02:14Z"},{"id":28042126,"title":"Growing Open Source from Torch to PyTorch","url":"https://soumith.ch/posts/2021/02/growing-opensource/","rank":-8.333290894816093,"score":78,"time":"2021-08-02T20:23:17Z"},{"id":28051692,"title":"Growing open-source: from Torch to PyTorch","url":"https://soumith.ch/posts/2021/02/growing-opensource/","rank":-8.333290894816093,"score":3,"time":"2021-08-03T17:15:17Z"},{"id":28133731,"title":"Bagua: A Distributed Training Library for PyTorch at Fast Speeds","url":"https://bagua-tutorials.kwai-seattle.com/","rank":-7.393981997272879,"score":1,"time":"2021-08-10T20:12:51Z"},{"id":28139145,"title":"Show HN: Bagua - Efficient Distributed Deep Learning for PyTorch Written in Rust","url":"https://github.com/BaguaSys/bagua","rank":-6.87719456208556,"score":5,"time":"2021-08-11T07:36:38Z"},{"id":28164583,"title":"PonderNet: Annotated PyTorch Implementation","url":"https://nn.labml.ai/adaptive_computation/ponder_net/index.html","rank":-9.54598349169516,"score":41,"time":"2021-08-13T02:20:30Z"},{"id":28196154,"title":"PyTorch in Production: Faster Inference with TRTorch","url":"https://www.photoroom.com/tech/fast-inference-trtorch-tensorrt/","rank":-8.333290894816093,"score":1,"time":"2021-08-16T08:54:28Z"},{"id":28232500,"title":"Show HN: Drone Views Semantic Segmentation (PyTorch)","url":"https://github.com/s3nh/drone-deploy-seg","rank":-8.333290894816093,"score":1,"time":"2021-08-19T11:20:51Z"},{"id":28248733,"title":"Multi-node training for PyTorch Lightning made easy","url":"https://www.anyscale.com/blog/introducing-ray-lightning-multi-node-gpu-training-for-pytorch-lightning-made","rank":-7.994748098554717,"score":9,"time":"2021-08-20T17:23:46Z"},{"id":28290785,"title":"A Public Dissection of a PyTorch Training Step","url":"https://wandb.ai/wandb/trace/reports/A-Public-Dissection-of-a-PyTorch-Training-Step--Vmlldzo5MDE3NjU","rank":-7.994748098554717,"score":1,"time":"2021-08-24T16:12:45Z"},{"id":28401999,"title":"Simple Audio Augmentation with PyTorch","url":"https://jonathanbgn.com/2021/08/30/audio-augmentation.html","rank":-9.104350122886538,"score":4,"time":"2021-09-03T09:13:46Z"},{"id":28416043,"title":"Pax: a PyTorch-like pytree module on top of Jax","url":"https://github.com/NTT123/pax","rank":-7.393981997272879,"score":3,"time":"2021-09-04T15:42:06Z"},{"id":28441049,"title":"Nvidia Shows How to Build AI Models at Scale with PyTorch Lightning","url":"https://analyticsindiamag.com/nvidia-shows-how-to-build-ai-models-at-scale-with-pytorch-lightning/","rank":-6.87719456208556,"score":1,"time":"2021-09-07T04:52:41Z"},{"id":28525681,"title":"New Kind of Paper, Pt. 3: Chalktalk, Magic Paper, APL, PyTorch and Pascaline","url":"https://mlajtos.mu/posts/new-kind-of-paper-3","rank":-6.644975975894096,"score":2,"time":"2021-09-14T14:48:20Z"},{"id":28528972,"title":"A Visualizer for PyTorch Image Transformations","url":"https://dev.to/mage_ai/a-visualizer-for-pytorch-image-transformations-5dfg","rank":-8.701773124615425,"score":1,"time":"2021-09-14T18:39:01Z"},{"id":28568902,"title":"Introduction to PyTorch Lightning","url":"https://www.exxactcorp.com/blog/Deep-Learning/introduction-to-pytorch-lightning","rank":-9.54598349169516,"score":1,"time":"2021-09-17T18:11:15Z"},{"id":28603907,"title":"Primer EZ: Annotated PyTorch Implementation","url":"https://nn.labml.ai/transformers/primer_ez/index.html","rank":-9.104350122886538,"score":1,"time":"2021-09-21T11:20:52Z"},{"id":28632942,"title":"Functorch: Jax-like composable function transforms for PyTorch","url":"https://github.com/facebookresearch/functorch","rank":-7.994748098554717,"score":4,"time":"2021-09-23T18:16:56Z"},{"id":28647116,"title":"Introduction to PyTorch Lightning","url":"https://www.exxactcorp.com/blog/Deep-Learning/introduction-to-pytorch-lightning","rank":-9.54598349169516,"score":1,"time":"2021-09-24T19:59:04Z"},{"id":28654693,"title":"NimTorch: PyTorch front end by generating C++ native ATen code","url":"https://github.com/sinkingsugar/nimtorch","rank":-7.393981997272879,"score":1,"time":"2021-09-25T17:18:05Z"},{"id":28706216,"title":"AutoML: An Introduction Using Auto-Sklearn and Auto-PyTorch","url":"https://www.exxactcorp.com/blog/Deep-Learning/automl-an-introduction-using-auto-sklearn-and-auto-pytorch","rank":-7.682638287284367,"score":1,"time":"2021-09-30T13:44:04Z"},{"id":28706781,"title":"Word2vec with PyTorch: Implementing the Original Paper","url":"https://notrocketscience.blog/word2vec-with-pytorch-implementing-original-paper/","rank":-8.333290894816093,"score":2,"time":"2021-09-30T14:32:26Z"},{"id":28821578,"title":"Torch-MLIR – Bridging PyTorch and MLIR Ecosystems","url":"https://discuss.pytorch.org/t/torch-mlir-bridging-pytorch-and-mlir-ecosystems/133151","rank":-8.333290894816093,"score":3,"time":"2021-10-10T20:11:41Z"},{"id":28827118,"title":"Show HN: Ruck – Genetic Algorithms Inspired by PyTorch Lightning Modules","url":"https://github.com/nmichlo/ruck","rank":-7.393981997272879,"score":2,"time":"2021-10-11T11:26:06Z"},{"id":28841598,"title":"PyTorch is growing, TensorFlow is not","url":"https://medium.com/analytics-vidhya/pytorch-is-growing-tensorflow-is-not-6986c5e52d6f","rank":-8.701773124615425,"score":4,"time":"2021-10-12T16:22:57Z"},{"id":28882109,"title":"PyTorch Lightning Tutorial #1: Getting Started","url":"https://www.exxactcorp.com/blog/Deep-Learning/getting-started-with-pytorch-lightning","rank":-8.701773124615425,"score":1,"time":"2021-10-15T19:34:41Z"},{"id":28928240,"title":"PyTorch Model Compare – Scalably Compare Neural Networks","url":"https://github.com/AntixK/PyTorch-Model-Compare","rank":-8.333290894816093,"score":1,"time":"2021-10-20T08:37:14Z"},{"id":28946702,"title":"PyTorch 1.10 Release: CUDA Graphs APIs, Front end and compiler improvements","url":"https://github.com/pytorch/pytorch/releases/tag/v1.10.0","rank":-6.87719456208556,"score":2,"time":"2021-10-21T16:16:54Z"},{"id":28947229,"title":"PyTorch 1.10 Release; CUDA Graphs APIs, Front End and Compiler Improvements","url":"https://pytorch.org/blog/pytorch-1.10-released/","rank":-6.87719456208556,"score":1,"time":"2021-10-21T16:46:16Z"},{"id":28949824,"title":"PyTorch Add Dimension: Expanding a Tensor with a Dummy Axis","url":"https://sparrow.dev/adding-a-dimension-to-a-tensor-in-pytorch/","rank":-7.393981997272879,"score":2,"time":"2021-10-21T19:37:28Z"},{"id":28955146,"title":"PyTorch 1.10","url":"https://pytorch.org/blog/pytorch-1.10-released/","rank":-10.032646621485735,"score":191,"time":"2021-10-22T09:14:39Z"},{"id":28956440,"title":"New Library Releases in PyTorch 1.10, Including TorchX, TorchAudio, TorchVision","url":"https://pytorch.org/blog/pytorch-1.10-new-library-releases/","rank":-7.126231333808056,"score":3,"time":"2021-10-22T12:30:47Z"},{"id":28985102,"title":"Hivemind: Decentralized Deep Learning in PyTorch","url":"https://github.com/learning-at-home/hivemind","rank":-8.701773124615425,"score":4,"time":"2021-10-25T06:55:44Z"},{"id":28992056,"title":"Warmup Guide to PyTorch","url":"https://opendatascience.com/the-odsc-warmup-guide-to-pytorch/","rank":-9.54598349169516,"score":1,"time":"2021-10-25T19:30:24Z"},{"id":28996937,"title":"PyTorch-DirectML: Train your machine learning models on any GPU","url":"https://devblogs.microsoft.com/windowsai/introducing-pytorch-directml-train-your-machine-learning-models-on-any-gpu/","rank":-7.393981997272879,"score":3,"time":"2021-10-26T06:04:24Z"},{"id":29003873,"title":"PyTorch Lightning Tutorial #2: Using TorchMetrics and Lightning Flash","url":"https://www.exxactcorp.com/blog/Deep-Learning/advanced-pytorch-lightning-using-torchmetrics-and-lightning-flash","rank":-7.682638287284367,"score":1,"time":"2021-10-26T18:03:11Z"},{"id":29005738,"title":"How can companies use PyTorch commercially if some neural layers are patented?","url":"https://old.reddit.com/r/MachineLearning/comments/qg4750/d_how_can_companies_like_facebook_use_pytorch_for/","rank":-6.87719456208556,"score":10,"time":"2021-10-26T20:19:19Z"},{"id":29007355,"title":"Hutom.io Uses PyTorch and Ray to Scale Surgical Video Analysis and Review","url":"https://www.anyscale.com/blog/how-hutom-io-uses-ray-and-pytorch-to-scale-surgical-video-analysis-and","rank":-6.644975975894096,"score":1,"time":"2021-10-26T22:46:21Z"},{"id":29015352,"title":"PyTorch GPU acceleration for Apple's M1 chip?","url":"https://github.com/pytorch/pytorch/issues/47702","rank":-7.994748098554717,"score":3,"time":"2021-10-27T16:18:54Z"},{"id":29020946,"title":"PyTorch GPU Acceleration for Apple’s M1 Chip","url":"https://github.com/pytorch/pytorch/issues/47702","rank":-7.994748098554717,"score":5,"time":"2021-10-28T00:41:25Z"},{"id":29021120,"title":"PyTorch-DirectML: Train your machine learning models on any GPU","url":"https://devblogs.microsoft.com/windowsai/introducing-pytorch-directml-train-your-machine-learning-models-on-any-gpu/","rank":-7.393981997272879,"score":14,"time":"2021-10-28T01:07:43Z"},{"id":29038972,"title":"How to use PyTorch LSTMs for time series regression","url":"https://www.crosstab.io/articles/time-series-pytorch-lstm","rank":-7.682638287284367,"score":2,"time":"2021-10-29T14:38:44Z"},{"id":29045663,"title":"PyTorch Benchmark","url":"https://leimao.github.io/blog/PyTorch-Benchmark/","rank":-10.571596455451935,"score":1,"time":"2021-10-30T03:08:20Z"},{"id":29072449,"title":"How to use PyTorch LSTMs for time series regression","url":"https://www.crosstab.io/articles/time-series-pytorch-lstm","rank":-7.682638287284367,"score":3,"time":"2021-11-01T20:17:24Z"},{"id":29087211,"title":"Easy Multi-Node PyTorch Lightning Training","url":"https://medium.com/pytorch/getting-started-with-ray-lightning-easy-multi-node-pytorch-lightning-training-e639031aff8b","rank":-8.701773124615425,"score":1,"time":"2021-11-02T20:54:06Z"},{"id":29159391,"title":"A Public Dissection of a PyTorch Training Step","url":"https://wandb.ai/wandb/trace/reports/A-Public-Dissection-of-a-PyTorch-Training-Step--Vmlldzo5MDE3NjU","rank":-7.994748098554717,"score":1,"time":"2021-11-09T09:18:06Z"},{"id":29163707,"title":"PyTorch Benchmark","url":"https://leimao.github.io/blog/PyTorch-Benchmark/","rank":-10.571596455451935,"score":1,"time":"2021-11-09T16:18:10Z"},{"id":29172219,"title":"PyTorch-DirectML: Train your machine learning models on any GPU","url":"https://devblogs.microsoft.com/windowsai/introducing-pytorch-directml-train-your-machine-learning-models-on-any-gpu/","rank":-7.393981997272879,"score":1,"time":"2021-11-10T08:00:28Z"},{"id":29202419,"title":"OpenFold, trainable Pytorch port of AlphaFold 2","url":"https://github.com/aqlaboratory/openfold","rank":-8.333290894816093,"score":3,"time":"2021-11-12T17:58:23Z"},{"id":29209184,"title":"How to Implement a Permute/Transpose Op 6 Times Faster Than PyTorch?","url":"https://oneflow2020.medium.com/how-to-implement-a-permute-transpose-op-6-times-faster-than-pytorch-6280d63d0b4b","rank":-6.87719456208556,"score":1,"time":"2021-11-13T11:54:27Z"},{"id":29216907,"title":"PyTorch Fortran Bindings","url":"https://github.com/alexeedm/pytorch-fortran","rank":-10.032646621485735,"score":23,"time":"2021-11-14T12:50:07Z"},{"id":29226713,"title":"PyTorch set to support Apple M1 GPU","url":"https://github.com/pytorch/pytorch/issues/47702","rank":-8.333290894816093,"score":1,"time":"2021-11-15T12:50:54Z"},{"id":29228357,"title":"Graph Embeddings and PyTorch-BigGraph","url":"https://www.youtube.com/watch?v=zDFUu4ggVTg","rank":-9.104350122886538,"score":1,"time":"2021-11-15T15:15:55Z"},{"id":29259811,"title":"PyTorch Tutorial","url":"https://pytorch.org/tutorials/beginner/nn_tutorial.html","rank":-10.571596455451935,"score":1,"time":"2021-11-17T22:45:17Z"},{"id":29280505,"title":"Ask HN: How to convince your PhD advisor to use Keras instead of PyTorch?","url":"https://twitter.com/Deathn0t2/status/1461757806428753921","rank":-6.4279275509094935,"score":2,"time":"2021-11-19T18:24:08Z"},{"id":29281771,"title":"Finding why PyTorch Lightning made my training 4x slower","url":"https://medium.com/@florianernst59/finding-why-pytorch-lightning-made-my-training-4x-slower-ae64a4720bd1","rank":-7.682638287284367,"score":2,"time":"2021-11-19T20:14:22Z"},{"id":29348927,"title":"Show HN: PyDreamer – model based RL written in PyTorch","url":"https://github.com/jurgisp/pydreamer","rank":-7.682638287284367,"score":4,"time":"2021-11-26T10:14:17Z"},{"id":29354474,"title":"PyTorch: Where we are headed and why it looks a lot like Julia (but not exactly)","url":"https://dev-discuss.pytorch.org/t/where-we-are-headed-and-why-it-looks-a-lot-like-julia-but-not-exactly-like-julia/276","rank":-6.0337596746467135,"score":265,"time":"2021-11-26T21:45:40Z"},{"id":29357825,"title":"PyTorch vs. TensorFlow","url":"https://horace.io/pytorch-vs-tensorflow/","rank":-10.032646621485735,"score":3,"time":"2021-11-27T05:47:53Z"},{"id":29404003,"title":"Meta, AWS expand partnership, aim to enhance PyTorch adoption","url":"https://www.zdnet.com/article/meta-aws-expand-partnership-aim-to-enhance-pytorch-adoption/","rank":-7.682638287284367,"score":1,"time":"2021-12-01T14:41:35Z"},{"id":29408049,"title":"PyTorch Live","url":"https://twitter.com/PyTorch/status/1466121890791972869","rank":-10.571596455451935,"score":9,"time":"2021-12-01T19:27:25Z"},{"id":29412495,"title":"Koila: Prevent PyTorch's out of memory error with lazy evaluation","url":"https://github.com/rentruewang/koila","rank":-7.126231333808056,"score":3,"time":"2021-12-02T04:12:46Z"},{"id":29414625,"title":"PyTorch Live Launched: Build your AI-powered mobile apps in minutes","url":"https://pytorch.org/live/live/","rank":-7.126231333808056,"score":3,"time":"2021-12-02T10:52:13Z"},{"id":29422716,"title":"PyTorch for Time-Series Using Pandas as Deep Learning","url":"https://twitter.com/carlcarrie/status/1466376126301880321","rank":-7.682638287284367,"score":1,"time":"2021-12-02T21:16:35Z"},{"id":29426243,"title":"PyTorch Developer Day 2021","url":"https://twitter.com/PyTorch/status/1466059350192107521","rank":-9.54598349169516,"score":3,"time":"2021-12-03T03:14:54Z"},{"id":29428142,"title":"Meta and AWS deepens partnership for PyTorch development","url":"https://www.zdnet.com/article/meta-aws-expand-partnership-aim-to-enhance-pytorch-adoption/","rank":-7.994748098554717,"score":1,"time":"2021-12-03T09:19:29Z"},{"id":29429332,"title":"Top Announcements at PyTorch Developer Day Conference","url":"https://analyticsindiamag.com/top-5-announcements-at-pytorch-developer-day-conference/","rank":-8.333290894816093,"score":1,"time":"2021-12-03T12:39:07Z"},{"id":29461197,"title":"PyTorch Lightning for Dummies – A Tutorial and Overview","url":"https://www.assemblyai.com/blog/pytorch-lightning-for-dummies/","rank":-7.994748098554717,"score":34,"time":"2021-12-06T15:51:20Z"},{"id":29489375,"title":"DocTR: Open-Source OCR Based on TensorFlow or PyTorch","url":"https://github.com/mindee/doctr","rank":-7.682638287284367,"score":4,"time":"2021-12-08T19:38:08Z"},{"id":29525762,"title":"Dive into Deep Learning [Book and PyTorch and TF Code]","url":"http://d2l.ai","rank":-7.393981997272879,"score":6,"time":"2021-12-12T00:32:04Z"},{"id":29552665,"title":"PyTorch vs. TensorFlow in 2022","url":"https://www.assemblyai.com/blog/pytorch-vs-tensorflow-in-2022/","rank":-9.104350122886538,"score":350,"time":"2021-12-14T15:35:26Z"},{"id":29573840,"title":"Bean Machine: Composable, Fast Probabilistic Inference on PyTorch","url":"https://research.facebook.com/blog/2021/12/introducing-bean-machine-a-probabilistic-programming-platform-built-on-pytorch/","rank":-7.994748098554717,"score":5,"time":"2021-12-16T01:40:15Z"},{"id":29577941,"title":"Bean Machine: Composable, Fast Probabilistic Inference on PyTorch","url":"https://research.facebook.com/blog/2021/12/introducing-bean-machine-a-probabilistic-programming-platform-built-on-pytorch/","rank":-7.994748098554717,"score":2,"time":"2021-12-16T13:38:36Z"},{"id":29585919,"title":"Convolutional Neural Networks and Transfer Learning with PyTorch and Fast.ai","url":"https://medium.com/@tomi.ambro94/convolutional-neural-networks-transfer-learning-with-pytorch-and-fast-ai-a0ea4e11a9c5","rank":-7.126231333808056,"score":2,"time":"2021-12-17T00:15:28Z"},{"id":29682507,"title":"Trade-Offs in Automatic Differentiation: TensorFlow, PyTorch, Jax, and Julia","url":"http://www.stochasticlifestyle.com/engineering-trade-offs-in-automatic-differentiation-from-tensorflow-and-pytorch-to-jax-and-julia/","rank":-7.393981997272879,"score":234,"time":"2021-12-25T11:50:37Z"},{"id":29809516,"title":"Text-to-Color from Scratch with Clip, PyTorch, and Hugging Face Spaces","url":"https://heartbeat.comet.ml/text-to-color-from-scratch-with-clip-pytorch-and-hugging-face-spaces-15b12893ce3d?gi=518166f9fd46","rank":-6.87719456208556,"score":2,"time":"2022-01-05T14:42:23Z"},{"id":29818551,"title":"Efficient PyTorch: Tensor Memory Format Matters (2021)","url":"https://pytorch.org/blog/tensor-memory-format-matters/","rank":-8.333290894816093,"score":3,"time":"2022-01-06T02:45:38Z"},{"id":29828169,"title":"How and why to create custom handlers for PyTorch’s TorchServe","url":"https://www.pento.ai/blog/custom-torchserve-handlers","rank":-7.126231333808056,"score":2,"time":"2022-01-06T18:59:43Z"},{"id":29839806,"title":"Modeling Uncertainty with PyTorch","url":"https://romainstrock.com/blog/modeling-uncertainty-with-pytorch.html","rank":-9.54598349169516,"score":64,"time":"2022-01-07T14:58:11Z"},{"id":29841560,"title":"5% of 666 Python repos had comma typo bugs (inc V8, TensorFlow and PyTorch)","url":"https://codereviewdoctor.medium.com/5-of-666-python-repos-had-comma-typos-including-tensorflow-and-pytorch-sentry-and-v8-7bc3ad9a1bb7","rank":-6.4279275509094935,"score":360,"time":"2022-01-07T17:00:07Z"},{"id":29905237,"title":"Show HN: Probe PyTorch Models","url":"https://github.com/labmlai/labml/blob/master/guides/model_probe.ipynb","rank":-9.104350122886538,"score":2,"time":"2022-01-12T12:05:40Z"},{"id":30000164,"title":"PyTorch is 5 yrs old since the first public release","url":"https://twitter.com/PyTorch/status/1483861422668795907","rank":-7.393981997272879,"score":3,"time":"2022-01-19T21:09:19Z"},{"id":30010591,"title":"Decisions and Pivots on PyTorch","url":"https://soumith.ch/posts/2022/01/pytorch-retro/","rank":-9.104350122886538,"score":6,"time":"2022-01-20T16:01:36Z"},{"id":30085687,"title":"IPFS PyTorch Dataset","url":"https://github.com/JakeKalstad/IPFSPytorchDataset","rank":-10.032646621485735,"score":1,"time":"2022-01-26T14:21:33Z"},{"id":30114583,"title":"How to deploy (almost) any PyTorch Geometric model on Nvidia’s Triton Server","url":"https://medium.com/nvidia-ai/how-to-deploy-almost-any-pytorch-geometric-model-on-nvidias-triton-inference-server-with-an-218d0c0c679c","rank":-6.644975975894096,"score":1,"time":"2022-01-28T13:56:44Z"},{"id":30119088,"title":"Show HN: Faster R-CNN object detector implemented in PyTorch and TensorFlow 2","url":"https://github.com/trzy/FasterRCNN","rank":-6.644975975894096,"score":15,"time":"2022-01-28T19:19:04Z"},{"id":30143377,"title":"A Simple Transformer Implementation(PyTorch) Without Difficult Syntax","url":"https://github.com/IpsumDominum/Pytorch-Simple-Transformer","rank":-7.994748098554717,"score":28,"time":"2022-01-31T01:30:08Z"},{"id":30177968,"title":"Show HN: GPT-2 from scratch in PyTorch – Video tutorial","url":"https://www.youtube.com/watch?v=d7IRM40VMYM","rank":-7.393981997272879,"score":1,"time":"2022-02-02T14:26:44Z"},{"id":30238065,"title":"Yann LeCun's 5-year prediction for AI/PyTorch","url":"https://twitter.com/tomkwong/status/1490463165443809282","rank":-7.682638287284367,"score":10,"time":"2022-02-06T23:13:40Z"},{"id":30286234,"title":"Show HN: Detecting Puerto Rican Bird Species from Images Using PyTorch","url":"https://birdsofpuertorico.com/bird-identification","rank":-7.126231333808056,"score":3,"time":"2022-02-10T14:14:45Z"},{"id":30297293,"title":"PyTorch Lightening","url":"https://pytorchlightning.ai/","rank":-10.571596455451935,"score":1,"time":"2022-02-11T05:14:19Z"},{"id":30369315,"title":"Practical Quantization in PyTorch","url":"https://pytorch.org/blog/quantization-in-practice/","rank":-9.54598349169516,"score":2,"time":"2022-02-17T03:48:04Z"},{"id":30434886,"title":"PyTorch on Apple M1 Faster Than TensorFlow-Metal","url":"https://nod.ai/pytorch-m1-max-gpu/","rank":-7.994748098554717,"score":154,"time":"2022-02-22T22:39:37Z"},{"id":30462852,"title":"PyTorch Distributed Evaluation","url":"https://leimao.github.io/blog/PyTorch-Distributed-Evaluation/","rank":-10.032646621485735,"score":3,"time":"2022-02-25T01:57:23Z"},{"id":30473254,"title":"Machine Learning with PyTorch and Scikit-Learn – The *New* Python ML Book","url":"https://sebastianraschka.com/blog/2022/ml-pytorch-book.html","rank":-6.87719456208556,"score":149,"time":"2022-02-25T22:41:22Z"},{"id":30497628,"title":"Practical Quantization in PyTorch","url":"https://pytorch.org/blog/quantization-in-practice/","rank":-9.54598349169516,"score":5,"time":"2022-02-28T08:25:18Z"},{"id":30502375,"title":"TorchStudio, a free open-source IDE for PyTorch","url":"https://www.torchstudio.ai/","rank":-7.994748098554717,"score":30,"time":"2022-02-28T17:24:31Z"},{"id":30508911,"title":"PyTorch Benchmark","url":"https://leimao.github.io/blog/PyTorch-Benchmark/","rank":-10.571596455451935,"score":2,"time":"2022-03-01T03:11:57Z"},{"id":30536724,"title":"Amazon Ads Uses PyTorch and AWS Inferentia to Scale Models for Ads Processing","url":"https://pytorch.org/blog/amazon-ads-case-study/","rank":-6.644975975894096,"score":2,"time":"2022-03-03T03:18:00Z"},{"id":30606477,"title":"Practical Quantization in PyTorch – PyTorch","url":"https://pytorch.org/blog/quantization-in-practice/","rank":-11.978477693750579,"score":2,"time":"2022-03-08T20:35:53Z"},{"id":30633408,"title":"PyTorch 1.11, TorchData, and functorch are now available","url":"https://pytorch.org/blog/pytorch-1.11-released/","rank":-7.682638287284367,"score":5,"time":"2022-03-10T22:26:37Z"},{"id":30650484,"title":"Retrieval-Enhanced Transformer – annotated PyTorch implementation","url":"https://nn.labml.ai/transformers/retro/index.html","rank":-8.701773124615425,"score":2,"time":"2022-03-12T10:41:33Z"},{"id":30662056,"title":"PyTorch vs. TensorFlow in Academic Papers","url":"https://horace.io/pytorch-vs-tensorflow/","rank":-8.701773124615425,"score":103,"time":"2022-03-13T15:28:34Z"},{"id":30701311,"title":"Composer: A new PyTorch library to train models 4x faster with better algorithms","url":"https://github.com/mosaicml/composer","rank":-6.644975975894096,"score":21,"time":"2022-03-16T17:02:14Z"},{"id":30702416,"title":"IllumiGrad: Direct and online RGBD camera calibration with PyTorch","url":"https://github.com/btilmon/illumiGrad","rank":-7.682638287284367,"score":1,"time":"2022-03-16T18:42:19Z"},{"id":30708339,"title":"TensorFlow and PyTorch under use linear algebra optimisation","url":"https://arxiv.org/abs/2202.09888","rank":-7.994748098554717,"score":1,"time":"2022-03-17T06:45:17Z"},{"id":30709313,"title":"Learn to use the revolutionary PyTorch in your Raspberry Pi based projects","url":"https://pytorch.org/tutorials/intermediate/realtime_rpi.html","rank":-6.87719456208556,"score":14,"time":"2022-03-17T09:46:28Z"},{"id":30724806,"title":"Running PyTorch Models on Jetson Nano – PyTorch","url":"https://pytorch.org/blog/running-pytorch-models-on-jetson-nano/","rank":-11.291197418954214,"score":1,"time":"2022-03-18T17:11:59Z"},{"id":30786580,"title":"Running PyTorch Models on Jetson Nano","url":"https://pytorch.org/blog/running-pytorch-models-on-jetson-nano/","rank":-8.701773124615425,"score":2,"time":"2022-03-24T05:19:21Z"},{"id":30787038,"title":"PyTorch Lightning and the Future of Open Source AI","url":"https://thenewstack.io/pytorch-lightning-and-the-future-of-open-source-ai/","rank":-7.682638287284367,"score":3,"time":"2022-03-24T07:06:45Z"},{"id":30831251,"title":"Show HN: Python package to create image embeddings without PyTorch/TensorFlow","url":"https://github.com/minimaxir/imgbeddings","rank":-7.126231333808056,"score":1,"time":"2022-03-28T15:07:40Z"},{"id":30831685,"title":"A Beginner's Guide to TorchStudio, the PyTorch IDE","url":"https://www.assemblyai.com/blog/beginners-guide-to-torchstudio-pytorch-only-ide/","rank":-7.682638287284367,"score":16,"time":"2022-03-28T15:41:31Z"},{"id":30882114,"title":"Show HN: Python package to create image embeddings without PyTorch/TensorFlow","url":"https://github.com/minimaxir/imgbeddings","rank":-7.126231333808056,"score":1,"time":"2022-04-01T19:09:30Z"},{"id":30904144,"title":"Image Classification in PyTorch and Gradio","url":"https://gradio.app/image_classification_in_pytorch/","rank":-8.701773124615425,"score":1,"time":"2022-04-04T07:31:26Z"},{"id":30915721,"title":"Tutorial: Writing Jax-like code in PyTorch with functorch","url":"https://www.sscardapane.it/tutorials/functorch/","rank":-7.682638287284367,"score":3,"time":"2022-04-05T05:55:39Z"},{"id":30992252,"title":"PyTorch podcast back after a long winter's rest","url":"https://pytorch-dev-podcast.simplecast.com/","rank":-7.682638287284367,"score":2,"time":"2022-04-11T17:43:39Z"},{"id":30998651,"title":"Implementation of DALL-E 2 in PyTorch","url":"https://github.com/lucidrains/DALLE2-pytorch","rank":-8.333290894816093,"score":19,"time":"2022-04-12T04:32:37Z"},{"id":31027299,"title":"Small Neural networks in Julia 5x faster than PyTorch","url":"https://julialang.org/blog/2022/04/simple-chains/","rank":-7.682638287284367,"score":178,"time":"2022-04-14T14:13:22Z"},{"id":31065412,"title":"Grafog – Graph Data Augmentation Library for PyTorch Geometric","url":"https://github.com/rish-16/grafog","rank":-7.994748098554717,"score":6,"time":"2022-04-17T23:09:29Z"},{"id":31074723,"title":"Simple PyTorch implementation of SIMONe (unsupervised scene decomposition)","url":"https://generallyintelligent.ai/open-source/2022-04-14-simone/","rank":-7.994748098554717,"score":15,"time":"2022-04-18T18:39:01Z"},{"id":31114052,"title":"VICReg: Tutorial and Lightweight PyTorch Implementation blog post","url":"https://generallyintelligent.ai/open-source/2022-04-21-vicreg/","rank":-7.994748098554717,"score":1,"time":"2022-04-21T19:21:57Z"},{"id":31121418,"title":"Integrate ArangoDB with PyTorch Geometric to Build Recommendation Systems","url":"https://www.arangodb.com/2022/04/integrate-arangodb-with-pytorch-geometric-to-build-recommendation-systems/","rank":-7.682638287284367,"score":1,"time":"2022-04-22T13:42:08Z"},{"id":31127004,"title":"PyTorch deep face recognition librar (1 click to run the best face recog model)","url":"https://github.com/ydwen/opensphere","rank":-6.4279275509094935,"score":3,"time":"2022-04-22T19:38:58Z"},{"id":31142609,"title":"DALL·E 2 in PyTorch","url":"https://github.com/lucidrains/DALLE2-pytorch","rank":-9.104350122886538,"score":2,"time":"2022-04-24T09:57:08Z"},{"id":31177759,"title":"Visual Neural Network Design Platform for PyTorch","url":"https://prototypeml.com","rank":-8.333290894816093,"score":2,"time":"2022-04-27T08:49:27Z"},{"id":31188274,"title":"New face recognition PyTorch library","url":"https://github.com/ydwen/opensphere","rank":-9.104350122886538,"score":3,"time":"2022-04-28T02:53:21Z"},{"id":31263516,"title":"Jax vs. Julia (Vs PyTorch)","url":"https://kidger.site/thoughts/jax-vs-julia/","rank":-9.104350122886538,"score":141,"time":"2022-05-04T17:36:49Z"},{"id":31337053,"title":"PyTorch's experimental C++ feature aims to embed multiple CPython interpreters","url":"https://www.infoq.com/news/2022/05/torch-deploy-cpp/","rank":-7.126231333808056,"score":2,"time":"2022-05-11T07:55:57Z"},{"id":31390987,"title":"PyTorch vs. TensorFlow: A Data-Structures’ Comparison in a Classification Task","url":"https://medium.com/@alessandromondin/pytorch-vs-tensorflow-data-structures-comparison-in-a-classification-task-f06bb21f9406","rank":-7.126231333808056,"score":6,"time":"2022-05-15T20:50:00Z"},{"id":31424048,"title":"Accelerated PyTorch Training on M1 Mac","url":"https://pytorch.org/blog/introducing-accelerated-pytorch-training-on-mac/","rank":-8.701773124615425,"score":443,"time":"2022-05-18T15:33:40Z"},{"id":31424588,"title":"Functorch: Jax-like composable function transforms for PyTorch","url":"https://github.com/pytorch/functorch","rank":-7.994748098554717,"score":36,"time":"2022-05-18T16:18:38Z"},{"id":31434138,"title":"Running PyTorch on the M1 GPU","url":"https://sebastianraschka.com/blog/2022/pytorch-m1-gpu.html","rank":-8.701773124615425,"score":2,"time":"2022-05-19T13:09:34Z"},{"id":31456450,"title":"Running PyTorch on the M1 GPU","url":"https://sebastianraschka.com/blog/2022/pytorch-m1-gpu.html","rank":-8.701773124615425,"score":92,"time":"2022-05-21T09:16:57Z"},{"id":31518764,"title":"Multi-GPU on Raw PyTorch with Hugging Face's Accelerate Library","url":"https://blog.paperspace.com/multi-gpu-on-raw-pytorch-with-hugging-faces-accelerate-library/","rank":-7.126231333808056,"score":1,"time":"2022-05-26T14:30:51Z"},{"id":31569286,"title":"Upgrade your PyTorch model to run on AWS Sagemaker","url":"https://blog.theodo.com/2022/05/upgrade-pytorch-for-aws-sagemaker/","rank":-7.682638287284367,"score":1,"time":"2022-05-31T13:34:52Z"},{"id":31601096,"title":"Automatic Training Using FastAPI, PyTorch and SerpApi","url":"https://serpapi.com/blog/automatic-training-fastapi-pytorch-serpapi/","rank":-8.333290894816093,"score":1,"time":"2022-06-02T22:03:58Z"},{"id":31694209,"title":"Temporal graph neural networks with PyTorch","url":"https://memgraph.com/blog/amazon-user-item-recommender-with-tgn-and-memgraph","rank":-8.701773124615425,"score":3,"time":"2022-06-10T13:52:07Z"},{"id":31724959,"title":"Taking Datasets, DataLoaders, and PyTorch’s New DataPipes for a Spin","url":"https://sebastianraschka.com/blog/2022/datapipes.html","rank":-7.126231333808056,"score":2,"time":"2022-06-13T13:04:06Z"},{"id":31746982,"title":"PyTorch Beat TensorFlow, Forcing Google to Bet on Jax","url":"https://www.businessinsider.com/facebook-pytorch-beat-google-tensorflow-jax-meta-ai-2022-6","rank":-7.682638287284367,"score":10,"time":"2022-06-14T22:50:29Z"},{"id":31752913,"title":"OCaml-torch: OCaml bindings for PyTorch","url":"https://github.com/LaurentMazare/ocaml-torch","rank":-8.701773124615425,"score":1,"time":"2022-06-15T13:54:38Z"},{"id":31777116,"title":"Taking Datasets, DataLoaders, and PyTorch’s New DataPipes for a Spin","url":"https://sebastianraschka.com/blog/2022/datapipes.html","rank":-7.126231333808056,"score":2,"time":"2022-06-17T12:30:29Z"},{"id":31791128,"title":"PyTorch Beat TensorFlow, Forcing Google to Bet on Jax","url":"https://www.businessinsider.com/facebook-pytorch-beat-google-tensorflow-jax-meta-ai-2022-6","rank":-7.682638287284367,"score":4,"time":"2022-06-18T16:07:40Z"},{"id":31797120,"title":"PyTorch Beat TensorFlow, Forcing Google to Bet on Jax","url":"https://www.businessinsider.com/facebook-pytorch-beat-google-tensorflow-jax-meta-ai-2022-6","rank":-7.682638287284367,"score":3,"time":"2022-06-19T07:38:53Z"},{"id":31827107,"title":"Proposal: Torch.js, a JavaScript front end for PyTorch","url":"https://dev-discuss.pytorch.org/t/proposal-torch-js-a-javascript-frontend-for-pytorch/650","rank":-7.682638287284367,"score":2,"time":"2022-06-21T18:04:41Z"},{"id":31870001,"title":"Discovering and Debugging a PyTorch Performance Decrease","url":"https://benjaminwarner.dev/2022/06/14/debugging-pytorch-performance-decrease","rank":-8.333290894816093,"score":2,"time":"2022-06-24T22:01:02Z"},{"id":31910599,"title":"PyTorch 1.12: TorchArrow, Functional API for Modules and NvFuser","url":"https://github.com/pytorch/pytorch/releases/tag/v1.12.0","rank":-7.393981997272879,"score":3,"time":"2022-06-28T17:33:17Z"},{"id":31910635,"title":"PyTorch 1.12: TorchArrow, Functional API for Modules and NvFuser","url":"https://pytorch.org/blog/pytorch-1.12-released/","rank":-7.393981997272879,"score":3,"time":"2022-06-28T17:36:21Z"},{"id":31917972,"title":"PyTorch 1.12","url":"https://pytorch.org/blog/pytorch-1.12-released/","rank":-10.032646621485735,"score":2,"time":"2022-06-29T09:20:44Z"},{"id":32086283,"title":"LaMDA PyTorch","url":"https://github.com/conceptofmind/LaMDA-pytorch","rank":-10.571596455451935,"score":2,"time":"2022-07-13T17:52:39Z"},{"id":32116644,"title":"PyTorch Inference Acceleration with Intel Neural Compressor","url":"https://medium.com/pytorch/pytorch-inference-acceleration-with-intel-neural-compressor-842ef4210d7d","rank":-8.333290894816093,"score":1,"time":"2022-07-16T10:14:32Z"},{"id":32249660,"title":"Process large data arrays in NumPy and PyTorch","url":"https://colab.research.google.com/github/neuml/txtai/blob/master/examples/23_Tensor_workflows.ipynb","rank":-7.994748098554717,"score":1,"time":"2022-07-27T12:31:56Z"},{"id":32278136,"title":"What Does It Mean to Be OpenSource? (PyTorch and TensorFlow as Examples)","url":"https://blog.kovalevskyi.com/what-does-it-mean-to-be-opensource-the-beginning-dff3dcfb51c6","rank":-6.87719456208556,"score":2,"time":"2022-07-29T15:23:51Z"},{"id":32284382,"title":"Show HN: PyTorch Tutorials on Semantic Search","url":"https://github.com/kuutsav/information-retrieval","rank":-8.333290894816093,"score":3,"time":"2022-07-30T04:53:42Z"},{"id":32301039,"title":"PyTorch Maintainers, All You Wanted to Know but Was Afraid to Ask","url":"https://blog.kovalevskyi.com/pytorch-maintainers-all-you-wanted-to-know-but-was-afraid-to-ask-33a19cc24d35","rank":-6.87719456208556,"score":1,"time":"2022-08-01T02:00:52Z"},{"id":32312158,"title":"PyTorch Design Philosophy","url":"https://pytorch.org/docs/master/community/design.html","rank":-10.032646621485735,"score":2,"time":"2022-08-01T21:18:40Z"},{"id":32335174,"title":"PyTorch Design Philosophy: Make It Flexible","url":"https://pytorch.org/docs/master/community/design.html","rank":-8.701773124615425,"score":2,"time":"2022-08-03T18:22:42Z"},{"id":32383746,"title":"PySearch: Find functions from ML libs (PyTorch) with out knowing their names","url":"https://www.pysearch.com","rank":-6.87719456208556,"score":3,"time":"2022-08-08T09:40:53Z"},{"id":32426836,"title":"Writing Snake in 12 Lines of PyTorch","url":"https://medium.com/artificialis/writing-snake-in-12-lines-of-pytorch-f7b21ce42a66","rank":-8.333290894816093,"score":116,"time":"2022-08-11T15:03:18Z"},{"id":32468718,"title":"SwinIR: Image Restoration Using Swin Transformer (PyTorch)","url":"https://github.com/JingyunLiang/SwinIR","rank":-8.333290894816093,"score":2,"time":"2022-08-15T12:19:14Z"},{"id":32497689,"title":"Nvidia Kaolin Wisp: a PyTorch library to work with neural fields","url":"https://github.com/NVIDIAGameWorks/kaolin-wisp","rank":-7.126231333808056,"score":83,"time":"2022-08-17T15:33:07Z"},{"id":32565293,"title":"Create recommendation engine with PyTorch and temporal graph neural networks","url":"https://memgraph.com/blog/amazon-user-item-recommender-with-tgn-and-memgraph","rank":-7.393981997272879,"score":4,"time":"2022-08-23T14:19:03Z"},{"id":32614575,"title":"NvFuser, a deep learning compiler for PyTorch","url":"https://pytorch.org/blog/introducing-nvfuser-a-deep-learning-compiler-for-pytorch/","rank":-8.333290894816093,"score":2,"time":"2022-08-27T01:15:06Z"},{"id":32675636,"title":"Tutorial on using LLVM to JIT PyTorch graphs to native code (x86/arm/RISC-V)","url":"https://blog.christianperone.com/2022/09/tutorial-on-using-llvm-to-jit-pytorch-fx-graphs-to-native-code-x86-arm-risc-v-wasm-part-i-scalars/","rank":-6.224609773336247,"score":4,"time":"2022-09-01T12:56:35Z"},{"id":32726622,"title":"Tutorial using LLVM to JIT PyTorch graphs to native code (x86/arm/RISC-V/WASM)","url":"https://blog.christianperone.com/2022/09/tutorial-on-using-llvm-to-jit-pytorch-fx-graphs-to-native-code-x86-arm-risc-v-wasm-part-i-scalars/","rank":-6.224609773336247,"score":2,"time":"2022-09-05T17:11:52Z"},{"id":32736044,"title":"Minimal PyTorch re-implementation of GPT","url":"https://github.com/karpathy/minGPT","rank":-8.701773124615425,"score":223,"time":"2022-09-06T12:14:19Z"},{"id":32769883,"title":"PyTorch Core Technical Lead Joins Lightning AI to Build PyTorch Team","url":"https://lightning.ai/pages/blog/pytorch-at-lightning-welcome-mike-ruberry/","rank":-10.128882577424061,"score":11,"time":"2022-09-08T18:30:16Z"},{"id":32809557,"title":"PyTorch is moving under the Linux Foundation","url":"https://www.facebook.com/zuck/posts/some-ai-news-were-moving-pytorch-the-open-source-ai-framework-led-by-meta-resear/10114669994669881/","rank":-8.333290894816093,"score":18,"time":"2022-09-12T13:07:29Z"},{"id":32809643,"title":"PyTorch strengthens its governance by joining the Linux Foundation","url":"https://pytorch.org/blog/PyTorchfoundation/","rank":-7.682638287284367,"score":56,"time":"2022-09-12T13:14:32Z"},{"id":32809907,"title":"Meta Moves PyTorch to Linux Foundation","url":"https://www.axios.com/2022/09/12/meta-pytorch-linux-foundation","rank":-8.701773124615425,"score":4,"time":"2022-09-12T13:30:01Z"},{"id":32810817,"title":"Welcoming PyTorch to the Linux Foundation","url":"https://linuxfoundation.org/zh/blog/welcoming-pytorch-to-the-linux-foundation/","rank":-8.701773124615425,"score":6,"time":"2022-09-12T14:27:19Z"},{"id":32810976,"title":"Welcoming PyTorch to the Linux Foundation","url":"https://linuxfoundation.org/blog/welcoming-pytorch-to-the-linux-foundation/","rank":-8.701773124615425,"score":47,"time":"2022-09-12T14:36:42Z"},{"id":32812227,"title":"The PyTorch Foundation to Accelerate Progress in AI Research","url":"https://about.fb.com/news/2022/09/pytorch-foundation-to-accelerate-progress-in-ai-research/","rank":-7.682638287284367,"score":5,"time":"2022-09-12T15:56:51Z"},{"id":32812311,"title":"Optimizing models using the PyTorch JIT","url":"https://lernapparat.de/jit-optimization-intro/","rank":-8.701773124615425,"score":2,"time":"2022-09-12T16:01:19Z"},{"id":32813596,"title":"Using LLVM to convert PyTorch to WASM","url":"https://blog.christianperone.com/2022/09/tutorial-on-using-llvm-to-jit-pytorch-fx-graphs-to-native-code-x86-arm-risc-v-wasm-part-i-scalars/","rank":-8.333290894816093,"score":3,"time":"2022-09-12T17:24:17Z"},{"id":32816508,"title":"PyTorch Moves to the Linux Foundation","url":"https://pytorch.org/blog/PyTorchfoundation/?q=announcement","rank":-8.701773124615425,"score":3,"time":"2022-09-12T20:33:37Z"},{"id":32817086,"title":"Facebook AI is moving PyTorch to become a project under the Linux Foundation","url":"https://www.facebook.com/zuck/posts/some-ai-news-were-moving-pytorch-the-open-source-ai-framework-led-by-meta-resear/10114669994669881/","rank":-6.644975975894096,"score":2,"time":"2022-09-12T21:15:05Z"},{"id":32817987,"title":"PyTorch gets lit under The Linux Foundation","url":"https://www.theregister.com/2022/09/12/pytorch_meta_linux_foundation/","rank":-8.333290894816093,"score":1,"time":"2022-09-12T22:28:35Z"},{"id":32821558,"title":"Meta Passes PyTorch to the Linux Foundation","url":"https://www.hackster.io/news/meta-passes-pytorch-the-python-machine-learning-framework-to-the-linux-foundation-d48166c66500","rank":-8.333290894816093,"score":3,"time":"2022-09-13T07:30:55Z"},{"id":32822510,"title":"PyTorch now governed by the Linux Foundation","url":"https://www.facebook.com/zuck/posts/some-ai-news-were-moving-pytorch-the-open-source-ai-framework-led-by-meta-resear/10114669994669881/","rank":-8.333290894816093,"score":1,"time":"2022-09-13T10:29:37Z"},{"id":32830974,"title":"Meta Moves PyTorch to Linux Foundation","url":"https://www.axios.com/2022/09/12/meta-pytorch-linux-foundation","rank":-8.701773124615425,"score":5,"time":"2022-09-13T22:27:09Z"},{"id":32837944,"title":"Meta Moves PyTorch to Linux Foundation","url":"https://www.axios.com/2022/09/12/meta-pytorch-linux-foundation","rank":-8.701773124615425,"score":3,"time":"2022-09-14T14:42:28Z"},{"id":32860993,"title":"Meta spins off PyTorch Foundation to make AI framework vendor-neutral","url":"https://arstechnica.com/information-technology/2022/09/meta-spins-off-pytorch-foundation-to-make-ai-framework-vendor-neutral/","rank":-7.126231333808056,"score":2,"time":"2022-09-16T01:41:13Z"},{"id":32901919,"title":"PyTorch now has an independent foundation","url":"https://www.artificialintelligence-news.com/2022/09/13/pytorch-now-has-an-independent-foundation/","rank":-8.701773124615425,"score":2,"time":"2022-09-19T18:20:02Z"},{"id":32911447,"title":"Meta spins off PyTorch Foundation to make AI framework vendor-neutral","url":"https://arstechnica.com/information-technology/2022/09/meta-spins-off-pytorch-foundation-to-make-ai-framework-vendor-neutral/","rank":-7.126231333808056,"score":1,"time":"2022-09-20T13:34:15Z"},{"id":32922079,"title":"Annotated PyTorch paper annotations side by side","url":"https://nn.labml.ai/index.html","rank":-8.333290894816093,"score":2,"time":"2022-09-21T08:10:29Z"},{"id":33023337,"title":"Lucidrains / Make-a-Video-PyTorch","url":"https://github.com/lucidrains/make-a-video-pytorch","rank":-9.104350122886538,"score":3,"time":"2022-09-29T16:45:39Z"},{"id":33079658,"title":"PyTorch models to optimised C++ with 2x speedup","url":"https://github.com/facebookincubator/AITemplate","rank":-7.994748098554717,"score":3,"time":"2022-10-04T12:57:58Z"},{"id":33106309,"title":"The Official PyTorch Implementation of the Paper “Human Motion Diffusion Model”","url":"https://github.com/GuyTevet/motion-diffusion-model","rank":-7.126231333808056,"score":3,"time":"2022-10-06T09:38:02Z"},{"id":33112027,"title":"Zero to Mastery Learn PyTorch for Deep Learning","url":"https://www.learnpytorch.io/","rank":-7.994748098554717,"score":3,"time":"2022-10-06T18:25:41Z"},{"id":33124917,"title":"Show HN: Search Engine for PyTorch Information","url":"https://you.com/niche/pytorch?q=initialize+weights&fromSearchBar=true","rank":-8.333290894816093,"score":65,"time":"2022-10-07T18:08:06Z"},{"id":33187648,"title":"Automatically Disabled Tests in PyTorch","url":"https://github.com/pytorch/pytorch/issues","rank":-9.104350122886538,"score":3,"time":"2022-10-13T05:41:25Z"},{"id":33225338,"title":"PyTorch -Accelerates the path from research prototyping to production deployment","url":"https://pytorch.org/","rank":-7.393981997272879,"score":4,"time":"2022-10-16T17:19:10Z"},{"id":33243533,"title":"PyTorch's Selective Build for Mobile/IoT Devices","url":"https://pytorch.org/blog/pytorchs-tracing-based-selective-build/","rank":-7.994748098554717,"score":1,"time":"2022-10-18T06:07:47Z"},{"id":33350787,"title":"PyTorch Lightning on Paperspace","url":"https://blog.paperspace.com/pytorch-lightning-on-paperspace/","rank":-9.54598349169516,"score":1,"time":"2022-10-26T23:02:52Z"},{"id":33377648,"title":"PyTorch 1.13","url":"https://pytorch.org/blog/PyTorch-1.13-release/","rank":-10.032646621485735,"score":73,"time":"2022-10-28T20:41:54Z"},{"id":33377948,"title":"New Library Updates in PyTorch 1.13","url":"https://pytorch.org/blog/new-library-updates-in-pytorch-1.13/","rank":-8.333290894816093,"score":5,"time":"2022-10-28T21:08:36Z"},{"id":33386966,"title":"pytorch/torch/utils/_pytree.py","url":"https://github.com/pytorch/pytorch/blob/master/torch/utils/_pytree.py","rank":-9.104350122886538,"score":1,"time":"2022-10-29T18:59:43Z"},{"id":33426707,"title":"Dance- PyTorch Library for Computational Biology with Deep Learning","url":"https://github.com/OmicsML/dance","rank":-7.682638287284367,"score":10,"time":"2022-11-01T20:03:28Z"},{"id":33465764,"title":"Using LLVM to JIT PyTorch fx graphs to native code","url":"https://blog.christianperone.com/2022/09/tutorial-on-using-llvm-to-jit-pytorch-fx-graphs-to-native-code-x86-arm-risc-v-wasm-part-i-scalars/","rank":-7.393981997272879,"score":2,"time":"2022-11-04T12:54:24Z"},{"id":33520769,"title":"TIL PyTorch, CPU and fp16. short story","url":"https://s3nh.github.io","rank":-8.333290894816093,"score":1,"time":"2022-11-08T16:26:19Z"},{"id":33804615,"title":"PyTorch-adapt re-purposes existing ML models to work in new domains","url":"https://github.com/KevinMusgrave/pytorch-adapt","rank":-6.87719456208556,"score":1,"time":"2022-11-30T17:53:45Z"},{"id":33812317,"title":"Bean Machine: Composable, Fast Probabilistic Inference on PyTorch","url":"https://research.facebook.com/blog/2021/12/introducing-bean-machine-a-probabilistic-programming-platform-built-on-pytorch/","rank":-7.994748098554717,"score":2,"time":"2022-12-01T04:25:22Z"},{"id":33832511,"title":"PyTorch 2.0","url":"https://pytorch.org/get-started/pytorch-2.0/","rank":-10.032646621485735,"score":336,"time":"2022-12-02T16:17:32Z"},{"id":33832615,"title":"PyTorch 2.0 Announced","url":"https://pytorch.org/get-started/pytorch-2.0/","rank":-9.54598349169516,"score":4,"time":"2022-12-02T16:24:24Z"},{"id":33832741,"title":"PyTorch 2.0","url":"https://twitter.com/ylecun/status/1598710586522705922","rank":-10.032646621485735,"score":1,"time":"2022-12-02T16:34:54Z"},{"id":33837239,"title":"Named tensors with first-class dimensions for PyTorch","url":"https://github.com/facebookresearch/torchdim","rank":-7.994748098554717,"score":4,"time":"2022-12-02T21:34:52Z"},{"id":33837863,"title":"PyTorch 2.0","url":"https://twitter.com/pytorch/status/1598708792598069249","rank":-10.032646621485735,"score":1,"time":"2022-12-02T22:31:25Z"},{"id":33854814,"title":"K-diffusion: Karras et al. (2022) diffusion models for PyTorch","url":"https://github.com/crowsonkb/k-diffusion","rank":-7.393981997272879,"score":2,"time":"2022-12-04T16:03:09Z"},{"id":33911200,"title":"Show HN: Visualizing PyTorch's Broadcasting Semantics","url":"https://natto.dev/@paul/4b0360eac95543b1a33747b8479d68ae","rank":-8.333290894816093,"score":1,"time":"2022-12-08T18:21:28Z"},{"id":33927424,"title":"Show HN: Creating a Fake News PyTorch Model with ChatGPT","url":"https://twitter.com/ap_forsyth/status/1600919602321498113","rank":-7.393981997272879,"score":2,"time":"2022-12-09T22:45:36Z"},{"id":34026103,"title":"Serving PyTorch Models with FastAPI and Ray Serve","url":"https://www.anyscale.com/blog/serving-pytorch-models-with-fastapi-and-ray-serve","rank":-7.994748098554717,"score":2,"time":"2022-12-17T08:57:24Z"},{"id":34096145,"title":"Image super resolution models for PyTorch","url":"https://github.com/eugenesiow/super-image","rank":-8.701773124615425,"score":1,"time":"2022-12-22T17:48:26Z"},{"id":34100886,"title":"Scaling Vision Model Training Platforms with PyTorch","url":"https://pytorch.org/blog/scaling-vision-model-training-platforms-with-pytorch/","rank":-8.333290894816093,"score":1,"time":"2022-12-23T00:30:35Z"},{"id":34147526,"title":"PyTorch Implementation of Geoffrey Hinton’s Forward-Forward Algorithm","url":"https://www.nebuly.com/blog/geoffrey-hinton-forward-forward","rank":-7.682638287284367,"score":9,"time":"2022-12-27T10:51:34Z"},{"id":34161113,"title":"Official PyTorch Implementation of “Scalable Diffusion Models with Transformers”","url":"https://github.com/facebookresearch/DiT","rank":-7.682638287284367,"score":1,"time":"2022-12-28T14:12:33Z"},{"id":34202836,"title":"Compromised PyTorch-nightly dependency chain December 30th, 2022","url":"https://pytorch.org/blog/compromised-nightly-dependency/","rank":-7.994748098554717,"score":191,"time":"2023-01-01T02:04:39Z"},{"id":34218322,"title":"PyTorch discloses malicious dependency chain compromise over holidays","url":"https://www.bleepingcomputer.com/news/security/pytorch-discloses-malicious-dependency-chain-compromise-over-holidays/","rank":-7.994748098554717,"score":2,"time":"2023-01-02T14:41:29Z"},{"id":34256355,"title":"PyTorch dependency poisoned with malicious code","url":"https://www.theregister.com/2023/01/04/pypi_pytorch_dependency_attack/","rank":-8.701773124615425,"score":3,"time":"2023-01-05T05:24:58Z"},{"id":34257482,"title":"PyTorch discloses malicious dependency chain compromise over holidays","url":"https://www.bleepingcomputer.com/news/security/pytorch-discloses-malicious-dependency-chain-compromise-over-holidays/","rank":-7.994748098554717,"score":1,"time":"2023-01-05T08:47:53Z"},{"id":34297716,"title":"KataGo changes training framework from TensorFlow to PyTorch","url":"https://github.com/lightvector/KataGo/releases/tag/v1.12.0","rank":-7.994748098554717,"score":2,"time":"2023-01-08T10:06:56Z"},{"id":34307441,"title":"Labml.ai Annotated PyTorch Paper Implementations","url":"https://nn.labml.ai/index.html","rank":-8.701773124615425,"score":1,"time":"2023-01-09T06:27:12Z"},{"id":34308484,"title":"Nightly PyTorch Builds Compromised","url":"https://lwn.net/Articles/918884/rss","rank":-9.54598349169516,"score":2,"time":"2023-01-09T09:36:42Z"},{"id":34313208,"title":"PyTorch Poisoned in Software Supply Chain Attack","url":"https://thenewstack.io/pytorch-poisoned-in-software-supply-chain-attack/","rank":-8.333290894816093,"score":3,"time":"2023-01-09T17:44:21Z"},{"id":34351164,"title":"PyTorch and the PyPI Supply Chain","url":"https://lwn.net/SubscriberLink/919588/f2bec20d5f649f51/","rank":-8.701773124615425,"score":2,"time":"2023-01-12T09:32:54Z"},{"id":34383963,"title":"PyTorch Trace Analysis for the Masses","url":"https://pytorch.org/blog/trace-analysis-for-masses/","rank":-8.701773124615425,"score":3,"time":"2023-01-14T20:40:16Z"},{"id":34453881,"title":"PyTorch Vulkan Back End User Workflow","url":"https://pytorch.org/tutorials/prototype/vulkan_workflow.html","rank":-8.701773124615425,"score":66,"time":"2023-01-20T14:51:52Z"},{"id":34561043,"title":"Accelerated Stable Diffusion with PyTorch 2","url":"https://pytorch.org/blog/accelerated-stable-diffusion-2/","rank":-8.701773124615425,"score":2,"time":"2023-01-28T19:53:42Z"},{"id":34568143,"title":"PyTorch Lightning – DL framework to train, deploy, and ship AI fast","url":"https://github.com/Lightning-AI/lightning","rank":-7.126231333808056,"score":1,"time":"2023-01-29T14:01:22Z"},{"id":34583828,"title":"Comparing Different Automatic Image Augmentation Methods in PyTorch","url":"https://sebastianraschka.com/blog/2023/data-augmentation-pytorch.html","rank":-7.994748098554717,"score":1,"time":"2023-01-30T18:05:50Z"},{"id":34588764,"title":"Open source implementation of Google's MusicLM in PyTorch","url":"https://github.com/lucidrains/musiclm-pytorch","rank":-7.682638287284367,"score":118,"time":"2023-01-31T00:11:30Z"},{"id":34613655,"title":"Show HN: Embed a Git repo inside a PyTorch checkpoint","url":"https://jellyml.com","rank":-7.393981997272879,"score":2,"time":"2023-02-01T17:09:08Z"},{"id":34672885,"title":"Creating a PyTorch Neural Network with ChatGPT","url":"https://medium.com/@al.lucas.thesauce/creating-a-pytorch-neural-network-with-chatgpt-d6eefffab467","rank":-8.333290894816093,"score":2,"time":"2023-02-06T03:19:32Z"},{"id":34799597,"title":"PyTorch at the Edge: Deploy 964 TIMM Models on Android with TorchScript","url":"https://dicksonneoh.com/portfolio/pytorch_at_the_edge_timm_torchscript_flutter/","rank":-6.87719456208556,"score":102,"time":"2023-02-15T03:13:57Z"},{"id":34822537,"title":"Torchegranate v0.4.0: probabilistic modeling in PyTorch","url":"https://old.reddit.com/r/MachineLearning/comments/113wkou/p_torchegranate_v040_now_with_bayesian_networks/","rank":-7.994748098554717,"score":2,"time":"2023-02-16T17:58:09Z"},{"id":34832774,"title":"Democratizing AI with PyTorch Foundation and ROCm Support for PyTorch","url":"https://pytorch.org/blog/democratizing-ai-with-pytorch/","rank":-10.396434586537026,"score":3,"time":"2023-02-17T09:50:27Z"},{"id":34912981,"title":"Show HN: Some Techniques to Make Your PyTorch Models Train Faster","url":"https://sebastianraschka.com/blog/2023/pytorch-faster.html","rank":-7.126231333808056,"score":1,"time":"2023-02-23T16:52:36Z"},{"id":34964788,"title":"Let Data Dance with PyTorch Models","url":"https://github.com/liga-ai/liga-pytorch","rank":-8.701773124615425,"score":3,"time":"2023-02-28T02:08:47Z"},{"id":35001350,"title":"Meetup: CPU Accelerated Fine-Tuning for Image Segmentation Using PyTorch","url":"https://community.intel.com/t5/Blogs/Tech-Innovation/Artificial-Intelligence-AI/Meetup-CPU-Accelerated-Fine-Tuning-for-Image-Segmentation-using/post/1459965","rank":-7.393981997272879,"score":3,"time":"2023-03-02T20:16:28Z"},{"id":35058318,"title":"Install TensorFlow and PyTorch with CUDA, CUDNN, and GPU Support in 3 Easy Steps","url":"https://gretel.ai/blog/install-tensorflow-with-cuda-cdnn-and-gpu-support-in-4-easy-steps","rank":-6.4279275509094935,"score":2,"time":"2023-03-07T17:36:36Z"},{"id":35065154,"title":"Effective PyTorch: best practices","url":"https://github.com/vahidk/EffectivePyTorch","rank":-9.54598349169516,"score":2,"time":"2023-03-08T04:11:47Z"},{"id":35085380,"title":"Φ-So – Physical Symbolic Optimization in PyTorch","url":"https://arxiv.org/abs/2303.03192","rank":-8.333290894816093,"score":4,"time":"2023-03-09T19:19:42Z"},{"id":35107221,"title":"Torch.fx.Transformer – symbolically modify PyTorch modules","url":"https://pytorch.org/docs/stable/fx.html","rank":-8.333290894816093,"score":55,"time":"2023-03-11T10:56:41Z"},{"id":35159961,"title":"FastGPT: Faster than PyTorch in 300 lines of Fortran","url":"https://ondrejcertik.com/blog/2023/03/fastgpt-faster-than-pytorch-in-300-lines-of-fortran/","rank":-7.682638287284367,"score":51,"time":"2023-03-14T22:26:08Z"},{"id":35171935,"title":"SimCLR in PyTorch – An ELI5 Guide","url":"https://zablo.net/blog/post/understanding-implementing-simclr-guide-eli5-pytorch/","rank":-8.701773124615425,"score":2,"time":"2023-03-15T17:39:39Z"},{"id":35173920,"title":"PyTorch 2.0 Is Out","url":"https://github.com/pytorch/pytorch/releases/tag/v2.0.0","rank":-9.104350122886538,"score":4,"time":"2023-03-15T20:00:51Z"},{"id":35174453,"title":"PyTorch 2.0","url":"https://github.com/pytorch/pytorch/releases","rank":-10.032646621485735,"score":2,"time":"2023-03-15T20:44:36Z"},{"id":35174612,"title":"PyTorch 2.0 Release","url":"https://pytorch.org/blog/pytorch-2.0-release/","rank":-9.54598349169516,"score":462,"time":"2023-03-15T20:57:23Z"},{"id":35175753,"title":"PyTorch 2.0 Now Shipping with Better CPU and GPU Performance","url":"https://www.phoronix.com/news/PyTorch-2.0-Released","rank":-7.126231333808056,"score":2,"time":"2023-03-15T22:45:25Z"},{"id":35187339,"title":"Accelerated Diffusers with PyTorch 2.0","url":"https://pytorch.org/blog/accelerated-diffusers-pt-20/","rank":-8.701773124615425,"score":1,"time":"2023-03-16T19:46:57Z"},{"id":35223170,"title":"Two Tiny Linux PCs, RISC-V for IoT, Fedora 38, PyTorch 2.0 – FOSS Weekly","url":"https://fossweekly.beehiiv.com/p/foss-weekly-38-two-tiny-linux-pcs-risc-v-for-iot-fedora-38-pytorch-2-0-and-more","rank":-6.224609773336247,"score":3,"time":"2023-03-19T20:23:57Z"},{"id":35253142,"title":"New Library Updates in PyTorch 2.0 – PyTorch","url":"https://pytorch.org/blog/new-library-updates-in-pytorch-2.0/","rank":-10.976307666591111,"score":1,"time":"2023-03-21T21:55:17Z"},{"id":35329291,"title":"Make a PyTorch model tensor-parallel in one line of code","url":"https://github.com/BlackSamorez/tensor_parallel","rank":-7.126231333808056,"score":4,"time":"2023-03-27T17:09:59Z"},{"id":35334142,"title":"Pylon: A PyTorch Framework for Learning with Constraints","url":"https://pylon-lib.github.io/","rank":-7.994748098554717,"score":2,"time":"2023-03-28T00:26:16Z"},{"id":35343798,"title":"Performance insights for PyTorch deep learning applications","url":"https://github.com/octoml/octoml-profile","rank":-8.333290894816093,"score":3,"time":"2023-03-28T16:36:38Z"},{"id":35425814,"title":"PyTorch and OpenXLA: The Path Forward","url":"https://pytorch.org/blog/pytorch-2.0-xla-path-forward/","rank":-8.701773124615425,"score":3,"time":"2023-04-03T15:48:50Z"},{"id":35534018,"title":"The PyTorch open source process (2021)","url":"http://blog.ezyang.com/2021/01/pytorch-open-source-process/","rank":-8.701773124615425,"score":2,"time":"2023-04-12T01:38:53Z"},{"id":35572050,"title":"PyTorch Nightly CUDA 12.1 builds now available","url":"https://download.pytorch.org/whl/nightly/cu121","rank":-7.994748098554717,"score":1,"time":"2023-04-14T17:19:25Z"},{"id":35594892,"title":"AutoGPT surpasses PyTorch in number of GitHub stars","url":"https://twitter.com/drjimfan/status/1647616587199815684","rank":-7.994748098554717,"score":3,"time":"2023-04-16T22:42:09Z"},{"id":35619193,"title":"Experience the power of PyTorch 2.0 on AMD Solutions","url":"https://pytorch.org/blog/experience-power-pytorch-2.0/","rank":-7.393981997272879,"score":3,"time":"2023-04-18T19:57:15Z"},{"id":35739557,"title":"Pyro: Deep universal probabilistic programming with Python and PyTorch","url":"https://pyro.ai/","rank":-7.682638287284367,"score":3,"time":"2023-04-28T10:33:39Z"},{"id":35762221,"title":"TorchBench: Benchmarking PyTorch with high API surface coverage","url":"https://arxiv.org/abs/2304.14226","rank":-7.994748098554717,"score":1,"time":"2023-04-30T13:10:55Z"},{"id":35782517,"title":"Show HN: Find compatible PyTorch, Python and CUDA versions online","url":"https://github.com/elenacliu/pytorch_cuda_driver_compatibilities","rank":-7.393981997272879,"score":3,"time":"2023-05-02T02:24:03Z"},{"id":35785730,"title":"Educational-transformer: Educational PyTorch implementation of the transformer","url":"https://github.com/ZSvedic/educational-transformer","rank":-7.994748098554717,"score":2,"time":"2023-05-02T11:00:59Z"},{"id":35904391,"title":"NerfAcc: A PyTorch Nerf acceleration toolbox for both training and inference","url":"https://github.com/KAIR-BAIR/nerfacc","rank":-7.126231333808056,"score":1,"time":"2023-05-11T16:19:58Z"},{"id":35915576,"title":"Show HN: Terrace: a library for writing more concise and maintainable PyTorch","url":"https://github.com/mixarcid/terrace","rank":-6.87719456208556,"score":2,"time":"2023-05-12T12:59:53Z"},{"id":35957135,"title":"Show HN: Graphlearn-for-PyTorch, distributed graph learning on PyTorch","url":"https://github.com/alibaba/graphlearn-for-pytorch","rank":-10.396434586537026,"score":9,"time":"2023-05-16T02:23:09Z"},{"id":35998955,"title":"PyTorch ported to TypeScript using WebGPU","url":"https://github.com/praeclarum/webgpu-torch","rank":-8.701773124615425,"score":6,"time":"2023-05-19T07:48:12Z"},{"id":35999101,"title":"PyTorch has won: 59% of papers use it vs. 5% for TensorFlow","url":"https://paperswithcode.com/trends","rank":-6.87719456208556,"score":4,"time":"2023-05-19T08:05:49Z"},{"id":36006626,"title":"PyTorch Primitives in WebGPU for the Browser","url":"https://praeclarum.org/2023/05/19/webgpu-torch.html","rank":-8.333290894816093,"score":313,"time":"2023-05-19T20:42:43Z"},{"id":36033145,"title":"How to Build a Language Identification Solution Using PyTorch","url":"https://pytorch.org/blog/language-identification/","rank":-7.682638287284367,"score":4,"time":"2023-05-22T16:01:45Z"},{"id":36066251,"title":"Bitsandbytes: 8-bit CUDA functions for PyTorch","url":"https://github.com/TimDettmers/bitsandbytes","rank":-8.333290894816093,"score":1,"time":"2023-05-25T01:51:50Z"},{"id":36084557,"title":"ChatGPT for PyTorch","url":"https://osschat.io/chat?project=PyTorch","rank":-10.032646621485735,"score":1,"time":"2023-05-26T14:23:03Z"},{"id":36089133,"title":"Srush/Tensor-Puzzles: Solve puzzles. Improve your PyTorch","url":"https://github.com/srush/Tensor-Puzzles","rank":-7.994748098554717,"score":2,"time":"2023-05-26T20:27:57Z"},{"id":36212117,"title":"Deep Drowsiness Detection Using YOLO, PyTorch and Python [video]","url":"https://www.youtube.com/watch?v=tFNJGim3FXw","rank":-7.682638287284367,"score":1,"time":"2023-06-06T13:10:24Z"},{"id":36217188,"title":"Show HN: Minimum Description Length RNNs in PyTorch","url":"https://github.com/0xnurl/mdlrnn-torch","rank":-7.994748098554717,"score":7,"time":"2023-06-06T18:35:54Z"},{"id":36255121,"title":"Audiocraft: PyTorch library for deep learning research on audio generation","url":"https://github.com/facebookresearch/audiocraftAudiocraft","rank":-7.393981997272879,"score":1,"time":"2023-06-09T08:54:24Z"},{"id":36301378,"title":"Show HN: Visualize and optimize your PyTorch models on Cellulose","url":"https://www.cellulose.ai/blog/introducing-pytorch-model-support","rank":-7.393981997272879,"score":1,"time":"2023-06-12T21:24:33Z"},{"id":36311363,"title":"Minimum Description Length PyTorch Nets","url":"https://github.com/0xnurl/mdlrnn-torch","rank":-9.104350122886538,"score":2,"time":"2023-06-13T15:08:46Z"},{"id":36321508,"title":"FlashAttention in PyTorch","url":"https://github.com/shreyansh26/FlashAttention-PyTorch","rank":-10.032646621485735,"score":2,"time":"2023-06-14T04:38:11Z"},{"id":36327447,"title":"Show HN: Tensorguard – Pretty runtime typechecking for PyTorch/NumPy tensors","url":"https://github.com/lengstrom/tensorguard","rank":-7.393981997272879,"score":2,"time":"2023-06-14T15:29:09Z"},{"id":36478578,"title":"Accelerating PyTorch Model Training 10x (With Mixed-Precision and FSDP)","url":"https://magazine.sebastianraschka.com/p/accelerating-pytorch-model-training","rank":-7.393981997272879,"score":2,"time":"2023-06-26T11:59:22Z"},{"id":36520381,"title":"PyTorch Performance Features and How They Interact","url":"https://paulbridger.com/posts/pytorch-tuning-tips/","rank":-8.333290894816093,"score":3,"time":"2023-06-29T13:51:55Z"},{"id":36526992,"title":"A PyTorch Approach to ML Infrastructure","url":"https://www.run.house/blog/a-pytorch-approach-to-ml-infrastructure","rank":-8.701773124615425,"score":113,"time":"2023-06-29T21:28:51Z"},{"id":36537250,"title":"AMD AI Software Solved – MI300X Pricing, Perf, PyTorch, FlashAttention, Triton","url":"https://www.semianalysis.com/p/amd-ai-software-solved-mi300x-pricing","rank":-7.393981997272879,"score":60,"time":"2023-06-30T15:54:49Z"},{"id":36574035,"title":"Optimizing Memory Usage for Training LLMs and Vision Transformers in PyTorch","url":"https://lightning.ai/pages/community/tutorial/pytorch-memory-vit-llm/","rank":-7.126231333808056,"score":1,"time":"2023-07-03T15:12:23Z"},{"id":36575443,"title":"Bfloat16 support coming to Apple's Metal and PyTorch [video]","url":"https://developer.apple.com/videos/play/wwdc2023/10050/?time=590","rank":-7.393981997272879,"score":93,"time":"2023-07-03T16:42:41Z"},{"id":36682008,"title":"Introducing Keras Core: Keras for TensorFlow, Jax, and PyTorch","url":"https://keras.io/keras_core/announcement/","rank":-7.682638287284367,"score":191,"time":"2023-07-11T15:02:04Z"},{"id":36708939,"title":"Show HN: Curated Transformers – Lightweight, composable PyTorch transformers","url":"https://github.com/explosion/curated-transformers","rank":-7.994748098554717,"score":7,"time":"2023-07-13T13:39:39Z"},{"id":36727905,"title":"GenAI with LLMs: Hands-On Training Feat. Hugging Face and PyTorch Lightning","url":"https://www.youtube.com/watch?v=Ku9PM26Cc2c","rank":-6.87719456208556,"score":23,"time":"2023-07-14T18:22:04Z"},{"id":36734366,"title":"Show HN: Curated Transformers – PyTorch LLMs with less code duplication","url":"https://github.com/explosion/curated-transformers","rank":-7.393981997272879,"score":10,"time":"2023-07-15T07:13:13Z"},{"id":36825353,"title":"Computational Chemistry Using PyTorch","url":"https://github.com/Mariewelt/OpenChem","rank":-9.54598349169516,"score":78,"time":"2023-07-22T11:32:35Z"},{"id":36857245,"title":"Retentive Network: A Successor to Transformer Implemented in PyTorch","url":"https://github.com/Jamie-Stirling/RetNet","rank":-7.682638287284367,"score":12,"time":"2023-07-25T02:50:27Z"},{"id":36959416,"title":"Performant Distributed Checkpointing in Production with IBM – PyTorch","url":"https://pytorch.org/blog/performant-distributed-checkpointing/","rank":-7.994748098554717,"score":2,"time":"2023-08-01T17:36:17Z"},{"id":36966071,"title":"An Empirical Study on Bugs Inside PyTorch","url":"https://arxiv.org/abs/2307.13777","rank":-8.333290894816093,"score":3,"time":"2023-08-02T02:05:42Z"},{"id":36967785,"title":"PyTorch Memory Tuning","url":"https://paulbridger.com/posts/pytorch-memory-tuning/","rank":-10.032646621485735,"score":1,"time":"2023-08-02T06:45:54Z"},{"id":36980406,"title":"PyTorch Memory Tuning","url":"https://paulbridger.com/posts/pytorch-memory-tuning/","rank":-10.032646621485735,"score":2,"time":"2023-08-03T01:52:28Z"},{"id":37073456,"title":"PyTorch Broadcasting Puzzles","url":"https://github.com/srush/Tensor-Puzzles","rank":-10.032646621485735,"score":1,"time":"2023-08-10T08:22:25Z"},{"id":37083654,"title":"Intel Joins the PyTorch Foundation","url":"https://www.phoronix.com/news/Intel-Joins-PyTorch-Foundation","rank":-9.104350122886538,"score":28,"time":"2023-08-11T00:40:49Z"},{"id":37115855,"title":"Statistical Rethinking with PyTorch and Pyro","url":"https://fehiepsi.github.io/rethinking-pyro/","rank":-8.701773124615425,"score":3,"time":"2023-08-13T23:55:05Z"},{"id":37173156,"title":"Composer – A PyTorch Library for Efficient Neural Network Training","url":"https://github.com/mosaicml/composer","rank":-7.682638287284367,"score":1,"time":"2023-08-18T09:21:42Z"},{"id":37325676,"title":"Graphcore-research/unit-scaling: A library for unit scaling in PyTorch","url":"https://github.com/graphcore-research/unit-scaling","rank":-7.126231333808056,"score":3,"time":"2023-08-30T17:28:53Z"},{"id":37345938,"title":"BoTorch – Bayesian Optimization in PyTorch","url":"https://botorch.org/","rank":-9.104350122886538,"score":107,"time":"2023-09-01T02:03:57Z"},{"id":37438632,"title":"EvaDB – SQL Queries Using Hugging Face, Open AI, Ultralytics, PyTorch","url":"https://github.com/georgia-tech-db","rank":-7.393981997272879,"score":6,"time":"2023-09-08T19:58:12Z"},{"id":37471833,"title":"Creating a PyTorch/TensorFlow Code Environment on AMD GPUs","url":"https://gpuopen.com/learn/amd-lab-notes/amd-lab-notes-pytorch-tensorflow-env-readme/","rank":-7.682638287284367,"score":4,"time":"2023-09-11T18:47:34Z"},{"id":37478351,"title":"PyTorch: Cross-Entropy vs. Negative Log Likelihood","url":"https://sebastianraschka.com/faq/docs/pytorch-crossentropy.html","rank":-8.333290894816093,"score":2,"time":"2023-09-12T08:51:19Z"},{"id":37550613,"title":"Distributed Shampoo Optimizer (In PyTorch) for Training NNs At-Scale","url":"https://arxiv.org/abs/2309.06497","rank":-7.393981997272879,"score":2,"time":"2023-09-17T23:55:10Z"},{"id":37617836,"title":"Dear PyTorch, nobody likes pickles","url":"https://aikomail.com/blog/dear-pytorch-nobody-likes-pickles","rank":-9.104350122886538,"score":5,"time":"2023-09-22T21:10:33Z"},{"id":37618292,"title":"From PyTorch to Jax: The Evolution of Ergonomics in Scalable Programming","url":"https://eatingentropy.substack.com/p/from-imperative-to-declarative-developing","rank":-7.126231333808056,"score":1,"time":"2023-09-22T21:53:37Z"},{"id":37638305,"title":"I create a small PyTorch utility to Import custom dataset","url":"https://github.com/shellordie/TorchClassifierData","rank":-7.393981997272879,"score":2,"time":"2023-09-24T23:58:53Z"},{"id":37675772,"title":"Baukit – tools for building PyTorch research prototypes","url":"https://github.com/davidbau/baukit","rank":-8.333290894816093,"score":3,"time":"2023-09-27T15:09:59Z"},{"id":37720943,"title":"Installing PyTorch Geometric Wrt CUDA Version","url":"https://blog.42yeah.is/cuda/2023/09/30/torch-geometric.html","rank":-8.701773124615425,"score":13,"time":"2023-09-30T23:23:59Z"},{"id":37726893,"title":"Q&A with AMD CEO on Competing with Nvidia's H100 and PyTorch","url":"https://www.theverge.com/23894647/amd-ceo-lisa-su-ai-chips-nvidia-supply-chain-interview-decoder","rank":-6.644975975894096,"score":1,"time":"2023-10-01T15:35:07Z"},{"id":37752678,"title":"ShellTorch: Multiple Critical Vulnerabilities in PyTorch Model Server (CVSS 9.8)","url":"https://www.oligo.security/blog/shelltorch-torchserve-ssrf-vulnerability-cve-2023-43654","rank":-7.126231333808056,"score":1,"time":"2023-10-03T14:47:12Z"},{"id":37764298,"title":"Trio of TorchServe flaws means PyTorch users need an urgent upgrade","url":"https://www.theregister.com/2023/10/04/shelltorch_vulnerabilities/","rank":-7.126231333808056,"score":2,"time":"2023-10-04T12:46:15Z"},{"id":37770488,"title":"PyTorch 2.1: automatic dynamic shape compilation, distributed checkpointing","url":"https://github.com/pytorch/pytorch/releases/tag/v2.1.0","rank":-7.682638287284367,"score":2,"time":"2023-10-04T19:38:40Z"},{"id":37772749,"title":"Scaling Large (Language) Model Training with PyTorch Lightning","url":"https://lightning.ai/blog/scaling-large-language-models-with-pytorch-lightning/","rank":-7.994748098554717,"score":2,"time":"2023-10-04T22:39:18Z"},{"id":37785271,"title":"Scaling Large (Language) Models with PyTorch Lightning – Lightning AI","url":"https://lightning.ai/blog/scaling-large-language-models-with-pytorch-lightning/","rank":-7.682638287284367,"score":2,"time":"2023-10-05T22:56:22Z"},{"id":37807225,"title":"Fine-tuning Llama 2 70B using PyTorch FSDP","url":"https://huggingface.co/blog/ram-efficient-pytorch-fsdp","rank":-7.994748098554717,"score":1,"time":"2023-10-08T02:03:14Z"},{"id":37809397,"title":"Coding Stable Diffusion from scratch in PyTorch [video]","url":"https://www.youtube.com/watch?v=ZBKpAp_6TGI","rank":-7.994748098554717,"score":5,"time":"2023-10-08T10:47:59Z"},{"id":37821586,"title":"PyTorch 2.1: automatic dynamic shape compilation, distributed checkpointing","url":"https://pytorch.org/blog/pytorch-2-1/","rank":-7.682638287284367,"score":1,"time":"2023-10-09T15:42:07Z"},{"id":37821618,"title":"torch.compile + NumPy: GPU-accelerate NumPy programs with PyTorch 2.1","url":"https://pytorch.org/docs/2.1/torch.compiler_faq.html#does-numpy-work-with-torch-compile","rank":-6.87719456208556,"score":23,"time":"2023-10-09T15:45:00Z"},{"id":37832217,"title":"PyTorch: The Most Complex Software Project in the World Keeps Getting Better","url":"https://blog.karetnikov.org/pytorch","rank":-6.87719456208556,"score":4,"time":"2023-10-10T14:01:11Z"},{"id":37903803,"title":"AMD adds support for PyTorch development on select RDNA 3 GPUs with ROCm 5.7","url":"https://community.amd.com/t5/ai/amd-extends-support-for-pytorch-machine-learning-development-on/ba-p/637756","rank":-6.224609773336247,"score":65,"time":"2023-10-16T18:11:22Z"},{"id":37922788,"title":"PyTorch got faster despite more Python, less C/++","url":"https://twitter.com/rasbt/status/1714329542452519214","rank":-7.682638287284367,"score":2,"time":"2023-10-17T23:11:25Z"},{"id":37930148,"title":"PyTorch Edge","url":"https://pytorch.org/blog/pytorch-edge/","rank":-10.571596455451935,"score":54,"time":"2023-10-18T15:33:09Z"},{"id":37943639,"title":"News from PyTorch Conference 2023","url":"https://www.linuxfoundation.org/blog/-pytorch-conference-2023-news","rank":-9.104350122886538,"score":1,"time":"2023-10-19T14:47:06Z"},{"id":37947989,"title":"Principles of PyTorch","url":"https://medium.com/@kasperjuunge/10-principles-of-pytorch-bbe4bf0c42cd","rank":-10.032646621485735,"score":1,"time":"2023-10-19T20:05:34Z"},{"id":38025381,"title":"What happens when you vectorize wide PyTorch expressions?","url":"https://probablymarcus.com/blocks/2023/10/19/vectorizing-wide-pytorch-expressions.html","rank":-7.994748098554717,"score":125,"time":"2023-10-26T13:41:16Z"},{"id":38033686,"title":"MoAI Platform – Scale PyTorch, TensorFlow, etc. to Thousands of GPU/NPUs","url":"https://moreh.io/product","rank":-7.126231333808056,"score":1,"time":"2023-10-27T01:30:05Z"},{"id":38110873,"title":"PyTorch 2.1","url":"https://pytorch.org/blog/pytorch-2-1/","rank":-10.032646621485735,"score":2,"time":"2023-11-02T09:18:17Z"},{"id":38147057,"title":"Counting NanoGPT FLOPs in PyTorch","url":"https://domluna.com/pytorch-flop-counts/","rank":-9.104350122886538,"score":1,"time":"2023-11-05T01:26:03Z"},{"id":38215316,"title":"Show HN: Prtm – Protein Models in PyTorch","url":"https://github.com/conradry/prtm","rank":-8.333290894816093,"score":1,"time":"2023-11-10T05:16:38Z"},{"id":38215322,"title":"TorchRL: An open-source Reinforcement Learning (RL) library for PyTorch","url":"https://pytorch.org/rl/","rank":-7.393981997272879,"score":2,"time":"2023-11-10T05:17:18Z"},{"id":38235667,"title":"The Incredible PyTorch","url":"https://github.com/ritchieng/the-incredible-pytorch","rank":-10.032646621485735,"score":2,"time":"2023-11-11T23:30:08Z"},{"id":38277446,"title":"Show HN: Open-Sourcing Google's Lattice Models in PyTorch","url":"https://github.com/ControlAI/pytorch-lattice","rank":-7.393981997272879,"score":13,"time":"2023-11-15T15:11:08Z"},{"id":38297482,"title":"The Unofficial PyTorch Optimization Loop Song","url":"https://www.mrdbourke.com/the-unofficial-pytorch-optimization-loop-song/","rank":-8.701773124615425,"score":1,"time":"2023-11-17T00:09:10Z"},{"id":38305727,"title":"Accelerating Generative AI with PyTorch: Segment Anything, Fast","url":"https://pytorch.org/blog/accelerating-generative-ai/","rank":-7.994748098554717,"score":5,"time":"2023-11-17T16:27:00Z"},{"id":38333356,"title":"Point, Shoot, and Detect: Object Detection with PyTorch Mobile","url":"https://journal.hexmos.com/pytorch-mobile/","rank":-7.682638287284367,"score":2,"time":"2023-11-19T15:13:18Z"},{"id":38338458,"title":"Doing cheap PyTorch inference with Modal.com","url":"https://fikisipi.substack.com/p/doing-cheap-pytorch-inference-with","rank":-8.333290894816093,"score":6,"time":"2023-11-19T21:41:04Z"},{"id":38380858,"title":"Building a Neural Network with PyTorch","url":"https://haydenjames.io/building-a-neural-network-with-pytorch/","rank":-8.701773124615425,"score":1,"time":"2023-11-22T15:52:48Z"},{"id":38403717,"title":"Fine-tuning Llama 2 70B using PyTorch FSDP","url":"https://huggingface.co/blog/ram-efficient-pytorch-fsdp","rank":-7.994748098554717,"score":1,"time":"2023-11-24T13:24:22Z"},{"id":38410958,"title":"AMD arms three of its gaming GPUs with PyTorch and ROCm for AI development","url":"https://www.tomshardware.com/pc-components/gpus/amd-arms-three-of-its-gaming-gpus-with-pytorch-and-rocm-support-for-ai-development","rank":-6.4279275509094935,"score":14,"time":"2023-11-25T03:35:53Z"},{"id":38432921,"title":"Accelerating Generative AI with PyTorch","url":"https://pytorch.org/blog/accelerating-generative-ai/","rank":-9.104350122886538,"score":2,"time":"2023-11-27T14:55:10Z"},{"id":38458346,"title":"Cerebras Release 2.0: 50% Faster Training, PyTorch 2.0, Diffusion Transformers","url":"https://www.cerebras.net/blog/cerebras-software-release-2.0-50-faster-training-pytorch-2.0-support-diffusion-transformers-and-more","rank":-6.87719456208556,"score":16,"time":"2023-11-29T11:57:28Z"},{"id":38469841,"title":"PyTorch 2.1 Contains New Performance Features for AI Developers","url":"https://pytorch.org/blog/new-features-for-ai/?","rank":-7.393981997272879,"score":3,"time":"2023-11-30T04:57:43Z"},{"id":38477197,"title":"Accelerating Generative AI with PyTorch II: GPT, Fast","url":"https://pytorch.org/blog/accelerating-generative-ai-2/","rank":-7.994748098554717,"score":306,"time":"2023-11-30T18:35:00Z"},{"id":38478054,"title":"Fast and hackable PyTorch native transformer inference","url":"https://github.com/pytorch-labs/gpt-fast","rank":-8.333290894816093,"score":5,"time":"2023-11-30T19:35:57Z"},{"id":38493315,"title":"Accelerating Generative AI with PyTorch: Segment Anything, Fast","url":"https://pytorch.org/blog/accelerating-generative-ai/","rank":-7.994748098554717,"score":3,"time":"2023-12-01T22:21:09Z"},{"id":38514467,"title":"A multi-GPU FHE library build with PyTorch","url":"https://github.com/Desilo/liberate-fhe","rank":-7.994748098554717,"score":1,"time":"2023-12-04T07:09:40Z"},{"id":38556715,"title":"Rust bindings for the C++ API of PyTorch","url":"https://github.com/LaurentMazare/tch-rs","rank":-7.994748098554717,"score":1,"time":"2023-12-07T14:30:10Z"},{"id":38600236,"title":"PyTorch 2 Internals [slides]","url":"https://drive.google.com/file/d/1XBox0G3FI-71efQQjmqGh0-VkCd-AHPL/view","rank":-9.54598349169516,"score":2,"time":"2023-12-11T12:57:04Z"},{"id":38618800,"title":"PyTorch 2 Internals","url":"https://www.slideshare.net/perone/pytorch-2-internals","rank":-10.032646621485735,"score":4,"time":"2023-12-12T21:24:57Z"},{"id":38627023,"title":"Show HN: Sequence-Classifier, a PyTorch Library for Sequence Classification","url":"https://github.com/yasufumy/sequence-classifier","rank":-7.393981997272879,"score":1,"time":"2023-12-13T13:29:11Z"},{"id":38642719,"title":"StatQuest: Word Embedding with PyTorch and Lightning","url":"https://lightning.ai/lightning-ai/studios/statquest-word-embedding-with-pytorch-lightning?view=public&section=all","rank":-8.333290894816093,"score":2,"time":"2023-12-14T15:57:23Z"},{"id":38648654,"title":"Show HN: NOS – A fast, and ergonomic PyTorch inference server","url":"https://github.com/autonomi-ai/nos","rank":-7.393981997272879,"score":3,"time":"2023-12-14T23:05:59Z"},{"id":38660882,"title":"AMD ROCm 6.0 Now Available with MI300 Support, PyTorch FP8 and More AI","url":"https://www.phoronix.com/news/AMD-ROCm-6.0-Released","rank":-6.4279275509094935,"score":19,"time":"2023-12-16T01:21:01Z"},{"id":38661169,"title":"Metal shaders with PyTorch from end to end","url":"https://medium.com/practical-coding/metal-shaders-with-pytorch-from-end-to-end-c95370b3449b","rank":-7.994748098554717,"score":4,"time":"2023-12-16T02:22:36Z"},{"id":38679421,"title":"PyTorch's Design Origins","url":"https://soumith.ch/posts/2023/12/pytorch-design-origins/","rank":-9.54598349169516,"score":4,"time":"2023-12-18T05:05:40Z"},{"id":38680118,"title":"PyTorch's Design Origins","url":"https://x.com/soumithchintala/status/1736555740448362890","rank":-9.54598349169516,"score":1,"time":"2023-12-18T07:46:56Z"},{"id":38681469,"title":"New tools for GPU memory profiling in PyTorch","url":"https://pytorch.org/blog/understanding-gpu-memory-1/","rank":-7.994748098554717,"score":1,"time":"2023-12-18T12:10:29Z"},{"id":38708730,"title":"Minimal implementation of Mamba, the new LLM architecture, in 1 file of PyTorch","url":"https://github.com/johnma2006/mamba-minimal","rank":-6.644975975894096,"score":417,"time":"2023-12-20T13:58:51Z"},{"id":38717323,"title":"Implementing Parallel MLP layers in PyTorch","url":"https://shreyas88.github.io","rank":-8.701773124615425,"score":3,"time":"2023-12-21T05:36:49Z"},{"id":38749057,"title":"Julia GPU-based ODE solver 20x-100x faster than those in Jax and PyTorch","url":"https://arxiv.org/abs/2304.06835","rank":-6.4279275509094935,"score":112,"time":"2023-12-23T22:45:41Z"},{"id":38783976,"title":"Ultra-Low Inference Latency with LLaMA 65B on PyTorch/XLA","url":"https://pytorch.org/blog/path-achieve-low-inference-latency/","rank":-7.393981997272879,"score":2,"time":"2023-12-27T17:05:20Z"},{"id":38879883,"title":"Show HN: Cresset – Instantiate PyTorch Models with Jsonnet","url":"https://pypi.org/project/cresset/","rank":-7.994748098554717,"score":1,"time":"2024-01-05T15:13:44Z"},{"id":38884677,"title":"PyTorch Native, Fast Diffusion","url":"https://github.com/huggingface/diffusion-fast","rank":-9.54598349169516,"score":3,"time":"2024-01-05T20:45:26Z"},{"id":38939162,"title":"Show HN: Build NCCL-Tests and Configure SSHD in PyTorch Container","url":"https://github.com/mayooot/build-nccl-tests-with-pytorch","rank":-7.126231333808056,"score":1,"time":"2024-01-10T14:06:10Z"},{"id":38942085,"title":"PyTorch for ROCm","url":"https://rocm.docs.amd.com/projects/install-on-linux/en/latest/how-to/3rd-party/pytorch-install.html","rank":-10.032646621485735,"score":10,"time":"2024-01-10T19:25:48Z"},{"id":38958396,"title":"Show HN: Designing Bridges with PyTorch","url":"https://github.com/eschluntz/PytorchBridge","rank":-8.701773124615425,"score":82,"time":"2024-01-11T20:20:07Z"},{"id":38969533,"title":"We Executed a Critical Supply Chain Attack on PyTorch","url":"https://johnstawinski.com/2024/01/11/playing-with-fire-how-we-executed-a-critical-supply-chain-attack-on-pytorch/","rank":-7.682638287284367,"score":463,"time":"2024-01-12T15:53:49Z"},{"id":38997607,"title":"GoTorch: A Go Implementation of PyTorch","url":"https://github.com/evisdrenova/gotorch","rank":-8.701773124615425,"score":3,"time":"2024-01-15T05:01:38Z"},{"id":39013256,"title":"ML (Core ML/TensorFlow/PyTorch) Models Slower on Mac with Sonoma?","url":"https://forums.developer.apple.com/forums/thread/738644","rank":-7.126231333808056,"score":1,"time":"2024-01-16T13:52:47Z"},{"id":39125646,"title":"Lucidrains/self-rewarding-lm-PyTorch: Self-Rewarding Language Model, from MetaAI","url":"https://github.com/lucidrains/self-rewarding-lm-pytorch","rank":-7.126231333808056,"score":145,"time":"2024-01-25T02:43:20Z"},{"id":39129159,"title":"Documentation I Like: PyTorch Installation","url":"https://jamesg.blog/2024/01/10/pytorch-install-docs/","rank":-9.104350122886538,"score":2,"time":"2024-01-25T13:05:00Z"},{"id":39193576,"title":"PyTorch 2.2: FlashAttention-v2, AOTInductor","url":"https://github.com/pytorch/pytorch/releases/tag/v2.2.0","rank":-8.701773124615425,"score":3,"time":"2024-01-30T18:15:35Z"},{"id":39194683,"title":"PyTorch 2.2: FlashAttention-v2 integration, AOTInductor","url":"https://pytorch.org/blog/pytorch2-2/","rank":-8.333290894816093,"score":15,"time":"2024-01-30T19:42:26Z"},{"id":39209140,"title":"Burn Deep Learning Framework Release 0.12.0 Improved API and PyTorch Integration","url":"https://github.com/tracel-ai/burn/releases/tag/v0.12.0","rank":-6.644975975894096,"score":5,"time":"2024-01-31T20:45:53Z"},{"id":39265713,"title":"User-friendly PyTorch Lightning and Hydra template for ML experimentation","url":"https://github.com/ashleve/lightning-hydra-template","rank":-7.393981997272879,"score":2,"time":"2024-02-05T19:21:31Z"},{"id":39270068,"title":"Mamba Inference in C Faster than PyTorch","url":"https://github.com/kroggen/mamba.c","rank":-8.333290894816093,"score":1,"time":"2024-02-06T02:33:26Z"},{"id":39278592,"title":"Diagnosing and Debugging PyTorch Data Starvation","url":"http://www.willprice.dev/2021/03/27/debugging-pytorch-performance-bottlenecks.html","rank":-8.701773124615425,"score":2,"time":"2024-02-06T18:44:16Z"},{"id":39306432,"title":"Cerebras launches PyTorch-based library for sparse training","url":"https://www.cerebras.net/blog/sparsity-made-easy-introducing-the-cerebras-pytorch-sparsity-library","rank":-7.994748098554717,"score":2,"time":"2024-02-08T19:30:35Z"},{"id":39309520,"title":"PyTorch 2 Faster ML Dynamic Python Bytecode Transformation and Graph Compilation [pdf]","url":"https://pytorch.org/assets/pytorch_2.pdf","rank":-6.87719456208556,"score":2,"time":"2024-02-08T23:59:36Z"},{"id":39332791,"title":"Show HN: Library to visualize and inspect PyTorch models","url":"https://github.com/freedmand/interpogate","rank":-7.682638287284367,"score":4,"time":"2024-02-11T05:08:27Z"},{"id":39373938,"title":"Dataflux Dataset for PyTorch","url":"https://github.com/GoogleCloudPlatform/dataflux-pytorch","rank":-9.54598349169516,"score":1,"time":"2024-02-14T19:19:17Z"},{"id":39458832,"title":"The official PyTorch implementation of Google's Gemma models","url":"https://github.com/google/gemma_pytorch","rank":-7.682638287284367,"score":2,"time":"2024-02-21T20:09:38Z"},{"id":39473864,"title":"55x Speedup of Andrej Karpathy's Minbpe LLM Tokenizer with PyTorch/CUDA","url":"https://github.com/kuprel/minbpe-pytorch","rank":-6.87719456208556,"score":19,"time":"2024-02-22T21:56:40Z"},{"id":39501613,"title":"Digit_Recognition Open Source PyTorch","url":"https://jessicanono.filparty.com/digit_recognition-with-pytorch","rank":-9.104350122886538,"score":1,"time":"2024-02-25T15:37:15Z"},{"id":39538162,"title":"Qualcomm AI Hub: From PyTorch to On-Device in Minutes","url":"https://aihub.qualcomm.com/","rank":-7.393981997272879,"score":1,"time":"2024-02-28T14:12:19Z"},{"id":39541159,"title":"MLX: Why not implement this in PyTorch?","url":"https://github.com/ml-explore/mlx/issues/12","rank":-8.333290894816093,"score":2,"time":"2024-02-28T17:35:24Z"},{"id":39566790,"title":"PyTorch Operator Rankings","url":"https://twitter.com/0x00B1/status/1763359698735047070","rank":-10.032646621485735,"score":1,"time":"2024-03-01T21:04:56Z"},{"id":39641974,"title":"Comparing 5 ways to implement Multihead Attention in PyTorch","url":"https://github.com/rasbt/LLMs-from-scratch/blob/main/ch03/02_bonus_efficient-multihead-attention/mha-implementations.ipynb","rank":-7.682638287284367,"score":3,"time":"2024-03-08T15:33:59Z"},{"id":39679135,"title":"Binary Magic: Building BitNet 1.58bit Using PyTorch from Scratch","url":"https://medium.com/@theseriousprogrammer/binary-magic-building-bitnet-1-58bit-using-pytorch-from-scratch-01fa6289db6f","rank":-7.393981997272879,"score":1,"time":"2024-03-12T13:19:17Z"},{"id":39713255,"title":"What Every User Should Know About Mixed Precision Training in PyTorch","url":"https://pytorch.org/blog/what-every-user-should-know-about-mixed-precision-training-in-pytorch/","rank":-7.126231333808056,"score":69,"time":"2024-03-15T08:16:47Z"},{"id":39742921,"title":"Implementation of mixture of experts language model in a single file of PyTorch","url":"https://github.com/AviSoori1x/makeMoE","rank":-6.644975975894096,"score":88,"time":"2024-03-18T11:57:46Z"},{"id":39746561,"title":"Quanto: A PyTorch Quantization Toolkit","url":"https://huggingface.co/blog/quanto-introduction","rank":-9.104350122886538,"score":4,"time":"2024-03-18T16:27:40Z"},{"id":39767216,"title":"Fickling now has modules for PyTorch, polyglots, and modular analysis","url":"https://blog.trailofbits.com/2024/03/04/relishing-new-fickling-features-for-securing-ml-systems/","rank":-7.393981997272879,"score":2,"time":"2024-03-20T14:36:07Z"},{"id":39778847,"title":"Thunder, Source to source compiler for PyTorch","url":"https://github.com/Lightning-AI/lightning-thunder","rank":-8.333290894816093,"score":4,"time":"2024-03-21T14:24:05Z"},{"id":39786002,"title":"A Native-PyTorch Library for LLM Fine-Tuning","url":"https://github.com/pytorch/torchtune","rank":-7.994748098554717,"score":2,"time":"2024-03-22T00:12:53Z"},{"id":39786278,"title":"Lightning-AI/lightning-thunder: Source to source compiler for PyTorch","url":"https://github.com/Lightning-AI/lightning-thunder","rank":-7.393981997272879,"score":4,"time":"2024-03-22T00:50:32Z"},{"id":39799861,"title":"Thunder – A new compiler for PyTorch that can use many device executors at once","url":"https://github.com/Lightning-AI/lightning-thunder","rank":-6.4279275509094935,"score":11,"time":"2024-03-23T13:40:45Z"},{"id":39832473,"title":"PyTorch for Deep Learning and Machine Learning [video]","url":"https://www.youtube.com/watch?v=V_xro1bcAuA","rank":-7.994748098554717,"score":1,"time":"2024-03-26T20:28:58Z"},{"id":39854885,"title":"PyTorch Word Embeddings Tutorial","url":"https://pytorch.org/tutorials/beginner/nlp/word_embeddings_tutorial.html","rank":-9.54598349169516,"score":1,"time":"2024-03-28T17:36:47Z"},{"id":39863245,"title":"Classifying written text using PyTorch","url":"https://github.com/jfalkner/machine_learning/blob/main/projects/lenet5_mnist/README.md","rank":-9.104350122886538,"score":1,"time":"2024-03-29T12:28:44Z"},{"id":39915594,"title":"PyTorch Library for Running LLM on Intel CPU and GPU","url":"https://github.com/intel-analytics/ipex-llm","rank":-7.393981997272879,"score":308,"time":"2024-04-03T10:28:25Z"},{"id":39945439,"title":"Response to Google's Keras-PyTorch Benchmarks","url":"https://gist.github.com/soumith/b05d19f231b01382108d999a91b203b0","rank":-8.333290894816093,"score":6,"time":"2024-04-05T18:21:10Z"},{"id":40000157,"title":"With Gaudi 3, Intel Can Sell AI Accelerators to the PyTorch Masses","url":"https://www.nextplatform.com/2024/04/09/with-gaudi-3-intel-can-sell-ai-accelerators-to-the-pytorch-masses/","rank":-6.87719456208556,"score":2,"time":"2024-04-11T09:22:14Z"},{"id":40021776,"title":"Llm.c is only 2X slower than PyTorch (fp32, forward pass)","url":"https://twitter.com/karpathy/status/1778988957713477778","rank":-7.126231333808056,"score":2,"time":"2024-04-13T09:36:16Z"},{"id":40029765,"title":"llm.c is now down to 26.2ms/iteration, matching PyTorch","url":"https://twitter.com/karpathy/status/1779272336186978707","rank":-7.126231333808056,"score":46,"time":"2024-04-14T08:58:58Z"},{"id":40046698,"title":"PyTorch internals: ezyang's blog (2019)","url":"http://blog.ezyang.com/2019/05/pytorch-internals/","rank":-8.701773124615425,"score":1,"time":"2024-04-15T23:08:51Z"},{"id":40054782,"title":"Torchtune: Easily fine-tune LLMs using PyTorch","url":"https://pytorch.org/blog/torchtune-fine-tune-llms/","rank":-8.333290894816093,"score":6,"time":"2024-04-16T17:29:46Z"},{"id":40059946,"title":"Posteriors: Open-Source Library for Uncertainty-Aware LLMs with PyTorch","url":"https://github.com/normal-computing/posteriors","rank":-7.393981997272879,"score":2,"time":"2024-04-17T02:54:33Z"},{"id":40061490,"title":"Torchtune: Easily fine-tune LLMs using PyTorch","url":"https://pytorch.org/blog/torchtune-fine-tune-llms/","rank":-8.333290894816093,"score":2,"time":"2024-04-17T07:15:03Z"},{"id":40076693,"title":"Easily Fine-Tune LLMs with PyTorch's Torchtune","url":"https://favtutor.com/articles/pytorch-torchtune/","rank":-7.994748098554717,"score":1,"time":"2024-04-18T14:31:25Z"},{"id":40090108,"title":"TorchFix – a linter for PyTorch-using code with autofix support","url":"https://github.com/pytorch-labs/torchfix","rank":-7.393981997272879,"score":2,"time":"2024-04-19T18:06:24Z"},{"id":40113790,"title":"Implementation of vision language model in a single file of PyTorch","url":"https://github.com/AviSoori1x/seemore","rank":-7.126231333808056,"score":4,"time":"2024-04-22T12:40:04Z"},{"id":40137999,"title":"Adapting nnue-PyTorch's binary position format for Lichess","url":"https://lichess.org/@/revoof/blog/adapting-nnue-pytorchs-binary-position-format-for-lichess/cpeeAMeY","rank":-7.682638287284367,"score":1,"time":"2024-04-23T22:15:00Z"},{"id":40151512,"title":"PyTorch 2.3 Release Blog","url":"https://pytorch.org/blog/pytorch2-3/","rank":-9.104350122886538,"score":3,"time":"2024-04-25T00:04:03Z"},{"id":40155173,"title":"PyTorch 2.3","url":"https://pytorch.org/blog/pytorch2-3/","rank":-10.032646621485735,"score":3,"time":"2024-04-25T09:07:47Z"},{"id":40203044,"title":"Show HN: Attorch – PyTorch's nn module written in Python using OpenAI's Triton","url":"https://github.com/BobMcDear/attorch","rank":-6.4279275509094935,"score":4,"time":"2024-04-29T19:37:19Z"},{"id":40250693,"title":"llm.c: multi-GPU, bfloat16, flash attention, ~7% faster than PyTorch","url":"https://twitter.com/karpathy/status/1786461447654125625","rank":-7.126231333808056,"score":121,"time":"2024-05-03T18:24:24Z"},{"id":40265530,"title":"A Simple Version of Grok 1.5/ GPT-4 Vision from scratch, in one PyTorch file","url":"https://github.com/AviSoori1x/seemore","rank":-6.0337596746467135,"score":5,"time":"2024-05-05T15:22:39Z"},{"id":40272045,"title":"LeRobot: Machine Learning for Real-World Robotics in PyTorch","url":"https://github.com/huggingface/lerobot","rank":-7.682638287284367,"score":27,"time":"2024-05-06T07:17:59Z"},{"id":40272875,"title":"Pure-PyTorch Implementation of Kolmogorov-Arnold Network (Kan)","url":"https://github.com/Blealtan/efficient-kan","rank":-7.994748098554717,"score":41,"time":"2024-05-06T09:45:24Z"},{"id":40279776,"title":"PyTorch Neat","url":"https://github.com/uber-research/PyTorch-NEAT","rank":-10.571596455451935,"score":1,"time":"2024-05-06T21:36:26Z"},{"id":40310492,"title":"PyTorch is live streaming their meeting on twitch","url":"https://www.twitch.tv/edwardzyang","rank":-7.994748098554717,"score":2,"time":"2024-05-09T17:22:24Z"},{"id":40316991,"title":"PyTorch 2.3: User-Defined Triton Kernels, Tensor Parallelism in Distributed","url":"https://github.com/pytorch/pytorch/releases/tag/v2.3.0","rank":-7.126231333808056,"score":1,"time":"2024-05-10T09:39:16Z"},{"id":40322596,"title":"Intel Updates Its PyTorch Build with More Large Language Model Optimizations","url":"https://www.phoronix.com/news/Intel-Extension-PyTorch-2.3","rank":-7.126231333808056,"score":2,"time":"2024-05-10T18:55:51Z"},{"id":40366282,"title":"The Fundamentals of Modern Deep Learning with PyTorch","url":"https://github.com/rasbt/pycon2024","rank":-7.994748098554717,"score":2,"time":"2024-05-15T12:54:34Z"},{"id":40375781,"title":"Executorch on-device AI across mobile, embedded and edge for PyTorch","url":"https://github.com/pytorch/executorch","rank":-7.126231333808056,"score":1,"time":"2024-05-16T06:35:21Z"},{"id":40388443,"title":"AI Edge Torch: High Performance Inference of PyTorch Models on Mobile Devices","url":"https://developers.googleblog.com/en/ai-edge-torch-high-performance-inference-of-pytorch-models-on-mobile-devices/","rank":-6.87719456208556,"score":2,"time":"2024-05-17T10:44:38Z"},{"id":40413372,"title":"Show HN: Simplified PyTorch Implementation of AlphaFold 3","url":"https://github.com/ogchen/nanofold","rank":-7.994748098554717,"score":2,"time":"2024-05-20T08:10:42Z"},{"id":40413574,"title":"Google Trends – PyTorch is now more searched than TensorFlow","url":"https://trends.google.com/trends/explore?date=today%205-y&q=%2Fg%2F11bwp1s2k3,%2Fg%2F11gd3905v1&hl=en","rank":-7.682638287284367,"score":3,"time":"2024-05-20T08:55:23Z"},{"id":40431395,"title":"Windows now runs PyTorch with DirectML","url":"https://learn.microsoft.com/en-us/windows/ai/directml/pytorch-windows","rank":-8.701773124615425,"score":8,"time":"2024-05-21T17:36:50Z"},{"id":40502730,"title":"PyTorch Hyperparameter Optimization on TPUs","url":"https://dsuess.github.io/blog/2022-03-31-ray-on-tpu/","rank":-9.104350122886538,"score":1,"time":"2024-05-28T16:48:52Z"},{"id":40575496,"title":"GoogLeNet (Inception V1) – Explained with PyTorch","url":"https://www.youtube.com/watch?v=x9YkGOPXGcg","rank":-8.701773124615425,"score":1,"time":"2024-06-04T15:19:09Z"},{"id":40591879,"title":"Deep Learning with PyTorch","url":"https://www.manning.com/books/deep-learning-with-pytorch","rank":-9.54598349169516,"score":2,"time":"2024-06-05T23:38:08Z"},{"id":40631808,"title":"[Andrej Karpathy] Let's reproduce GPT-2, in PyTorch from scratch (nanoGPT)","url":"https://twitter.com/karpathy/status/1799949853289804266","rank":-6.87719456208556,"score":7,"time":"2024-06-10T09:49:47Z"},{"id":40652959,"title":"PyTorch-IE: Fast and Reproducible Prototyping for Information Extraction","url":"https://arxiv.org/abs/2406.00007","rank":-7.682638287284367,"score":2,"time":"2024-06-11T23:43:14Z"},{"id":40689711,"title":"Jax, NumPy, PyTorch or ONNX export with no code duplication","url":"https://github.com/Quantco/ndonnx","rank":-7.393981997272879,"score":2,"time":"2024-06-15T13:34:51Z"},{"id":40707138,"title":"Minimal, single file Mamba-2 implementation in PyTorch","url":"https://github.com/tommyip/mamba2-minimal","rank":-7.994748098554717,"score":3,"time":"2024-06-17T16:05:07Z"},{"id":40707389,"title":"Vendor Jax, NumPy or PyTorch code automatically with ONNX using ndonnx","url":"https://github.com/Quantco/ndonnx","rank":-7.126231333808056,"score":2,"time":"2024-06-17T16:20:36Z"},{"id":40742465,"title":"Torchtune: A Native-PyTorch Library for LLM Fine-Tuning","url":"https://github.com/pytorch/torchtune","rank":-7.682638287284367,"score":2,"time":"2024-06-20T19:39:51Z"},{"id":40785161,"title":"PyTorch Geometric – Graph Neural Network Library for PyTorch","url":"https://github.com/pyg-team/pytorch_geometric","rank":-10.976307666591111,"score":3,"time":"2024-06-25T06:31:53Z"},{"id":40790892,"title":"PyTorch Documentary Virtual Premiere: Live Stream [video]","url":"https://www.youtube.com/watch?v=EjgTv6aSeqk","rank":-8.333290894816093,"score":3,"time":"2024-06-25T17:02:56Z"},{"id":40794036,"title":"Official PyTorch Documentary: Powering the AI Revolution [video]","url":"https://www.youtube.com/watch?v=rgP_LBtaUEc","rank":-7.994748098554717,"score":5,"time":"2024-06-25T21:46:16Z"},{"id":40802029,"title":"Official PyTorch Documentary: Powering the AI Revolution","url":"https://www.youtube.com/watch?v=rgP_LBtaUEc","rank":-8.333290894816093,"score":2,"time":"2024-06-26T16:57:51Z"},{"id":40814951,"title":"Official PyTorch Documentary: Powering the AI Revolution [video]","url":"https://www.youtube.com/watch?v=rgP_LBtaUEc","rank":-7.994748098554717,"score":3,"time":"2024-06-27T20:51:14Z"},{"id":40840398,"title":"PyTorch FSDP Tutorials","url":"https://www.youtube.com/playlist?list=PL_lsbAsL_o2BT6aerEKgIoufVD_fodnuT","rank":-10.032646621485735,"score":2,"time":"2024-06-30T21:08:57Z"},{"id":40856906,"title":"Official PyTorch Documentary: Powering the AI Revolution [video]","url":"https://www.youtube.com/watch?v=rgP_LBtaUEc","rank":-7.994748098554717,"score":3,"time":"2024-07-02T14:13:46Z"},{"id":40873071,"title":"Official PyTorch Documentary: Powering the AI Revolution [video]","url":"https://www.youtube.com/watch?v=rgP_LBtaUEc","rank":-7.994748098554717,"score":2,"time":"2024-07-04T07:32:43Z"},{"id":40881482,"title":"Taking PyTorch for Granted","url":"https://nrehiew.github.io/blog/pytorch/","rank":-9.54598349169516,"score":5,"time":"2024-07-05T10:12:44Z"},{"id":40883538,"title":"Official PyTorch Documentary: Powering the AI Revolution [video]","url":"https://www.youtube.com/watch?v=rgP_LBtaUEc","rank":-7.994748098554717,"score":3,"time":"2024-07-05T15:22:20Z"},{"id":40884478,"title":"LightRAG-The PyTorch library for large language model applications Alpha Release","url":"https://github.com/SylphAI-Inc/LightRAG","rank":-7.126231333808056,"score":2,"time":"2024-07-05T17:23:57Z"},{"id":40885079,"title":"Taking PyTorch for Granted","url":"https://nrehiew.github.io/blog/pytorch/","rank":-9.54598349169516,"score":2,"time":"2024-07-05T18:48:55Z"},{"id":40888090,"title":"Here’s how you can build and train GPT-2 from scratch using PyTorch","url":"https://differ.blog/p/here-s-how-you-can-build-and-train-gpt-2-from-scratch-using-pytorch-ace4ba","rank":-6.4279275509094935,"score":138,"time":"2024-07-06T04:03:03Z"},{"id":40889330,"title":"Show HN: PyTorch-Lightning-Template","url":"https://github.com/ton11111/pytorch-lightning-template","rank":-9.104350122886538,"score":1,"time":"2024-07-06T09:54:34Z"},{"id":40899446,"title":"Official PyTorch Documentary Revisits Its Past, and Its Future","url":"https://thenewstack.io/official-pytorch-documentary-revisits-its-past-and-its-future/","rank":-7.682638287284367,"score":12,"time":"2024-07-07T18:26:07Z"},{"id":40911339,"title":"LightRAG: The PyTorch Library for Large Language Model Applications","url":"https://github.com/SylphAI-Inc/LightRAG","rank":-7.682638287284367,"score":82,"time":"2024-07-09T00:28:31Z"},{"id":40912774,"title":"Taking PyTorch for Granted","url":"https://nrehiew.github.io/blog/pytorch/","rank":-9.54598349169516,"score":3,"time":"2024-07-09T05:28:38Z"},{"id":40970130,"title":"Torch Geopooling: Geospatial Pooling Modules for PyTorch","url":"https://github.com/ybubnov/torch_geopooling","rank":-8.333290894816093,"score":2,"time":"2024-07-15T18:12:42Z"},{"id":40970209,"title":"Show HN: TorchSubmit – Painless multi-node training with PyTorch (no SLURM/K8s)","url":"https://github.com/dream3d-ai/torch-submit","rank":-6.87719456208556,"score":3,"time":"2024-07-15T18:22:48Z"},{"id":40970420,"title":"PyTorch Lightning: A Comprehensive Hands-On Tutorial","url":"https://www.datacamp.com/tutorial/pytorch-lightning-tutorial","rank":-8.333290894816093,"score":10,"time":"2024-07-15T18:51:45Z"},{"id":40977297,"title":"Torchtitan: Large-scale LLM training using native PyTorch","url":"https://github.com/pytorch/torchtitan","rank":-7.994748098554717,"score":1,"time":"2024-07-16T15:07:17Z"},{"id":41016862,"title":"Official PyTorch Documentary: Powering the AI Revolution [video]","url":"https://www.youtube.com/watch?v=rgP_LBtaUEc","rank":-7.994748098554717,"score":2,"time":"2024-07-20T14:50:08Z"},{"id":41020742,"title":"PyTorch in JavaScript, with GPU Support","url":"https://github.com/eduardoleao052/js-pytorch","rank":-8.701773124615425,"score":5,"time":"2024-07-20T22:50:30Z"},{"id":41030531,"title":"Notes: Broadcasting in PyTorch","url":"https://decodingcoding.substack.com/p/newsletter-21-to-keepdims-or-not","rank":-9.54598349169516,"score":1,"time":"2024-07-22T03:00:29Z"},{"id":41042302,"title":"TorchLens–package for visualizing nearly any PyTorch model in 1 line of code","url":"https://github.com/johnmarktaylor91/torchlens","rank":-6.644975975894096,"score":2,"time":"2024-07-23T03:40:29Z"},{"id":41060730,"title":"PyTorch 2.4: Python 3.12, AOTInductor freezing","url":"https://pytorch.org/blog/pytorch2-4/","rank":-7.994748098554717,"score":4,"time":"2024-07-24T19:13:37Z"},{"id":41070455,"title":"PyTorch 2.4 with Initial Support of Intel GPUs","url":"https://www.intel.com/content/www/us/en/developer/articles/technical/pytorch-2-4-supports-gpus-accelerate-ai-workloads.html","rank":-7.682638287284367,"score":5,"time":"2024-07-25T16:21:20Z"},{"id":41115154,"title":"Torchchat: Run PyTorch LLMs locally on servers, desktop and mobile","url":"https://github.com/pytorch/torchchat","rank":-7.393981997272879,"score":2,"time":"2024-07-30T23:37:24Z"},{"id":41117198,"title":"Run PyTorch LLMs locally on servers, desktop and mobile","url":"https://github.com/pytorch/torchchat","rank":-7.682638287284367,"score":2,"time":"2024-07-31T07:56:42Z"},{"id":41125980,"title":"PyTorch – Torchchat: Chat with LLMs Everywhere","url":"https://github.com/pytorch/torchchat","rank":-8.701773124615425,"score":261,"time":"2024-08-01T03:48:14Z"},{"id":41128147,"title":"A guide on good usage of non_blocking and pin_memory() in PyTorch","url":"https://pytorch.org/tutorials/intermediate/pinmem_nonblock.html","rank":-6.644975975894096,"score":1,"time":"2024-08-01T11:38:28Z"},{"id":41141934,"title":"PyTorch VGG implementation from scratch [video]","url":"https://www.youtube.com/watch?v=ACmuBbuXn20","rank":-8.701773124615425,"score":1,"time":"2024-08-02T19:40:29Z"},{"id":41162822,"title":"AMD Releases ROCm 6.2 with New Components, Improves PyTorch and TensorFlow","url":"https://www.phoronix.com/news/AMD-ROCm-6.2-Released","rank":-6.87719456208556,"score":3,"time":"2024-08-05T16:29:01Z"},{"id":41169717,"title":"Mini PyTorch from Scratch Using NumPy/CuPy: A Comprehensive Tutorial","url":"https://minipytorch.io/","rank":-7.393981997272879,"score":0,"time":"2024-08-06T11:18:19Z"},{"id":41170556,"title":"Mini PyTorch from Scratch Using NumPy/CuPy: A Comprehensive Tutorial","url":"https://dajuric.github.io/dark/","rank":-7.393981997272879,"score":2,"time":"2024-08-06T13:11:35Z"},{"id":41172268,"title":"JavaScript-PyTorch","url":"https://eduardoleao052.github.io/js-pytorch/site/index.html","rank":-10.571596455451935,"score":1,"time":"2024-08-06T16:13:41Z"},{"id":41188966,"title":"FlexAttention: The Flexibility of PyTorch with the Performance of FlashAttention","url":"https://pytorch.org/blog/flexattention/","rank":-7.393981997272879,"score":210,"time":"2024-08-08T07:24:58Z"},{"id":41216781,"title":"Optimizing PyTorch Docker images: how to cut size by 60%","url":"https://mveg.es/posts/optimizing-pytorch-docker-images-cut-size-by-60percent/","rank":-7.393981997272879,"score":1,"time":"2024-08-11T15:16:37Z"},{"id":41270043,"title":"PyTorch is dead. Long live Jax","url":"https://neel04.github.io/my-website/blog/pytorch_rant/","rank":-8.701773124615425,"score":209,"time":"2024-08-16T20:24:55Z"},{"id":41313354,"title":"PassiveLogic Swift AI Compiler Delivers Energy Efficiency over TF and PyTorch","url":"https://passivelogic.com/blog/?post=ai-compiler-superior-energy-efficiency-pr","rank":-7.126231333808056,"score":2,"time":"2024-08-21T19:24:59Z"},{"id":41332311,"title":"Packaging Python and PyTorch for a Machine Learning Application","url":"https://transformerlab.ai/blog/Packaging%20Python","rank":-7.682638287284367,"score":3,"time":"2024-08-23T19:35:05Z"},{"id":41411397,"title":"PyTorch 2.4 Now Supports Intel GPUs for Faster Workloads","url":"https://pytorch.org/blog/intel-gpus-pytorch-2-4/","rank":-7.393981997272879,"score":19,"time":"2024-08-31T19:45:09Z"},{"id":41418814,"title":"Official PyTorch Documentary: Powering the AI Revolution [video]","url":"https://www.youtube.com/watch?v=rgP_LBtaUEc","rank":-7.994748098554717,"score":1,"time":"2024-09-01T17:53:34Z"},{"id":41564714,"title":"Async Tensor Parallelism in PyTorch","url":"https://discuss.pytorch.org/t/distributed-w-torchtitan-introducing-async-tensor-parallelism-in-pytorch/209487","rank":-9.104350122886538,"score":2,"time":"2024-09-17T06:10:52Z"},{"id":41583263,"title":"TorchFix 0.6.0 – a linter for PyTorch-using code with autofix support","url":"https://pypi.org/project/TorchFix/","rank":-6.644975975894096,"score":1,"time":"2024-09-18T17:56:55Z"},{"id":41597676,"title":"Show HN: LeanRL: Fast PyTorch RL with Torch.compile and CUDA Graphs","url":"https://github.com/pytorch-labs/LeanRL","rank":-6.87719456208556,"score":53,"time":"2024-09-20T00:27:22Z"},{"id":41636997,"title":"Using PyTorch and NumPy? You're making a mistake","url":"https://tanelp.github.io/posts/a-bug-that-plagues-thousands-of-open-source-ml-projects/","rank":-7.682638287284367,"score":2,"time":"2024-09-24T14:42:03Z"},{"id":41648103,"title":"PyTorch Implementation of Kolmogorov–Arnold Transformer (KAT)","url":"https://github.com/Adamdad/kat","rank":-8.333290894816093,"score":3,"time":"2024-09-25T14:42:31Z"},{"id":41656378,"title":"Jax vs. PyTorch: A Comprehensive Comparison for Deep Learning Applications","url":"https://myscale.com/blog/jax-vs-pytorch-comprehensive-comparison-deep-learning/","rank":-7.393981997272879,"score":1,"time":"2024-09-26T09:39:43Z"},{"id":41678188,"title":"PyTorch Native Architecture Optimization: Torchao","url":"https://pytorch.org/blog/pytorch-native-architecture-optimization/","rank":-9.104350122886538,"score":169,"time":"2024-09-28T05:51:51Z"},{"id":41727068,"title":"PyTorch Conference 2024 Recap","url":"https://pytorch.org/blog/pytorch-conference-2024-recap/","rank":-9.54598349169516,"score":1,"time":"2024-10-03T03:22:40Z"},{"id":41768560,"title":"Mirage: Automatically Generating Fast GPU Kernels for PyTorch Programs","url":"https://github.com/mirage-project/mirage","rank":-7.682638287284367,"score":3,"time":"2024-10-07T17:32:24Z"},{"id":41773020,"title":"Run Llama locally with only PyTorch on CPU","url":"https://github.com/anordin95/run-llama-locally","rank":-7.994748098554717,"score":168,"time":"2024-10-08T01:45:14Z"},{"id":41780125,"title":"Torchtune – a native PyTorch library for fine-tuning LLMs","url":"https://github.com/pytorch/torchtune","rank":-7.682638287284367,"score":2,"time":"2024-10-08T18:11:07Z"},{"id":41792297,"title":"Directly run and investigate Llama models locally with only PyTorch","url":"https://github.com/anordin95/run-llama-locally","rank":-7.393981997272879,"score":3,"time":"2024-10-09T20:31:06Z"},{"id":41848601,"title":"Show HN: How to guide on training Llama-405B using PyTorch distributed APIs","url":"https://github.com/LambdaLabsML/distributed-training-guide/tree/main/06-training-llama-405b","rank":-6.644975975894096,"score":3,"time":"2024-10-15T13:51:36Z"},{"id":41877408,"title":"PyTorch 2.5.0 Release, SDPA CuDNN backend, Flex Attention","url":"https://pytorch.org/blog/pytorch2-5/","rank":-7.393981997272879,"score":1,"time":"2024-10-18T08:30:04Z"},{"id":41896064,"title":"Show HN: Minimal image regression template for PyTorch","url":"https://github.com/hugohadfield/pytorch_image_regession","rank":-7.994748098554717,"score":2,"time":"2024-10-20T15:41:08Z"},{"id":41974048,"title":"Intel's Big AI Bet: Gaudi 3 Ft. Supermicro – System Tour, PyTorch, More [video]","url":"https://www.youtube.com/watch?v=X2yQAHqPTvw","rank":-6.4279275509094935,"score":2,"time":"2024-10-28T17:56:59Z"},{"id":42012799,"title":"PyTorch in the Browser (JavaScript)","url":"https://github.com/eduardoleao052/js-pytorch","rank":-9.104350122886538,"score":1,"time":"2024-11-01T00:06:06Z"},{"id":42049732,"title":"JaxLightning: Run Jax within PyTorch Lightning","url":"https://github.com/ludwigwinkler/JaxLightning","rank":-8.701773124615425,"score":2,"time":"2024-11-05T08:37:51Z"},{"id":42083160,"title":"PyTorch 2 Faster ML Dynamic Python Bytecode Transformation and Graph Compilation [video]","url":"https://www.youtube.com/watch?v=CbTFk0qW1UI","rank":-6.87719456208556,"score":1,"time":"2024-11-08T01:23:31Z"},{"id":42107734,"title":"PyTorch Internals","url":"http://blog.ezyang.com/2019/05/pytorch-internals/","rank":-10.571596455451935,"score":2,"time":"2024-11-11T15:18:23Z"},{"id":42132092,"title":"The Art of Deconstraining: A guide to convex optimization in PyTorch","url":"https://www.argmin.net/p/the-art-of-deconstraining","rank":-7.126231333808056,"score":2,"time":"2024-11-14T01:10:27Z"},{"id":42143925,"title":"Show HN: PyTorch Implementation of proVLAE(ICLR2020, disentangle representation)","url":"https://github.com/suzuki-2001/pytorch-proVLAE","rank":-7.682638287284367,"score":2,"time":"2024-11-15T04:16:50Z"},{"id":42150063,"title":"PyTorch Deprecation of Conda Nightly Builds","url":"https://dev-discuss.pytorch.org/t/pytorch-deprecation-of-conda-nightly-builds/2590","rank":-8.701773124615425,"score":3,"time":"2024-11-15T19:31:42Z"},{"id":42157821,"title":"Deprecating PyTorch's official Anaconda channel","url":"https://github.com/pytorch/pytorch/issues/138506","rank":-8.701773124615425,"score":4,"time":"2024-11-16T18:01:23Z"},{"id":42161854,"title":"PyTorch Deprecation of Conda Nightly Builds","url":"https://dev-discuss.pytorch.org/t/pytorch-deprecation-of-conda-nightly-builds/2590","rank":-8.701773124615425,"score":3,"time":"2024-11-17T03:53:24Z"},{"id":42164973,"title":"HeavyBall: Efficient PyTorch Optimizers","url":"https://github.com/ClashLuke/HeavyBall","rank":-9.54598349169516,"score":1,"time":"2024-11-17T16:19:01Z"},{"id":42170803,"title":"Benchmarks Comparing PyTorch and MLX on Apple Silicon GPUs","url":"https://github.com/LucasSte/MLX-vs-Pytorch","rank":-7.682638287284367,"score":2,"time":"2024-11-18T08:49:22Z"},{"id":42178660,"title":"Deprecating PyTorch's official Anaconda channel","url":"https://github.com/pytorch/pytorch/issues/138506","rank":-8.701773124615425,"score":2,"time":"2024-11-19T00:03:22Z"},{"id":42180763,"title":"PyTorch 101: Understanding Graphs, Automatic Differentiation and Autograd","url":"https://www.digitalocean.com/community/tutorials/pytorch-101-understanding-graphs-and-automatic-differentiation","rank":-7.994748098554717,"score":55,"time":"2024-11-19T07:13:01Z"},{"id":42188555,"title":"Using uv with PyTorch","url":"https://docs.astral.sh/uv/guides/integration/pytorch/","rank":-9.54598349169516,"score":170,"time":"2024-11-19T21:59:10Z"},{"id":42195687,"title":"Show HN: AnyModal – A Flexible Multimodal Language Model Framework for PyTorch","url":"https://github.com/ritabratamaiti/AnyModal","rank":-7.126231333808056,"score":1,"time":"2024-11-20T16:41:25Z"},{"id":42236820,"title":"Hiding a message in my PyTorch weights","url":"https://blog.gabornyeki.com/2024-11-hiding-a-message-in-my-pytorch-weights/","rank":-8.333290894816093,"score":1,"time":"2024-11-25T15:01:10Z"},{"id":42339781,"title":"Deprecating PyTorch's official Anaconda channel","url":"https://github.com/pytorch/pytorch/issues/138506","rank":-8.701773124615425,"score":1,"time":"2024-12-06T13:51:46Z"},{"id":42365308,"title":"How to profile CUDA kernels in PyTorch [video]","url":"https://www.youtube.com/watch?v=LuhJEEJQgUM&list=PLVEjdmwEDkgW0uEWNt4olLk-bnSueZARH","rank":-7.994748098554717,"score":1,"time":"2024-12-09T11:50:55Z"},{"id":42377115,"title":"VLLM Joins PyTorch Ecosystem","url":"https://pytorch.org/blog/vllm-joins-pytorch/","rank":-9.54598349169516,"score":2,"time":"2024-12-10T14:27:43Z"},{"id":42528985,"title":"Vanilla RNN in PyTorch","url":"https://github.com/jugheadjones10/vanilla-rnn","rank":-9.54598349169516,"score":1,"time":"2024-12-28T06:11:00Z"},{"id":42554315,"title":"Adapting nnue-PyTorch's binary position format for Lichess","url":"https://lichess.org/@/revoof/blog/adapting-nnue-pytorchs-binary-position-format-for-lichess/cpeeAMeY","rank":-7.682638287284367,"score":1,"time":"2024-12-30T22:37:35Z"},{"id":42600994,"title":"torchhd: Hyperdimensional Computing and Vector Symbolic Architectures in PyTorch","url":"https://github.com/hyperdimensional-computing/torchhd","rank":-7.682638287284367,"score":3,"time":"2025-01-05T11:05:24Z"},{"id":42604712,"title":"PyTorch from Scratch","url":"https://github.com/MarioSieg/magnetron","rank":-10.032646621485735,"score":3,"time":"2025-01-05T20:23:16Z"},{"id":42651585,"title":"Neutone FX: DAW plugin wrappers for PyTorch audio processing models","url":"https://neutone.ai/fx","rank":-7.393981997272879,"score":2,"time":"2025-01-10T01:27:57Z"},{"id":42653940,"title":"A guide to Jax for PyTorch developers","url":"https://cloud.google.com/blog/products/ai-machine-learning/guide-to-jax-for-pytorch-developers","rank":-8.333290894816093,"score":1,"time":"2025-01-10T09:02:40Z"},{"id":42658942,"title":"New Year's resolutions for PyTorch in 2025","url":"http://blog.ezyang.com/2025/01/new-years-resolutions-for-pytorch-in-2025/","rank":-7.994748098554717,"score":2,"time":"2025-01-10T19:12:14Z"},{"id":42685616,"title":"A Python Toolkit >40x faster than Jax, PyTorch and TF (for certain use cases)","url":"https://matlogica.com//MatLogica-Faster-than-JAX-TF-PyTorch.php?S=YC","rank":-6.4279275509094935,"score":1,"time":"2025-01-13T16:59:34Z"},{"id":42693585,"title":"Show HN: Practise PyTorch in LeetCode Style","url":"https://github.com/Exorust/TorchLeet","rank":-8.333290894816093,"score":5,"time":"2025-01-14T04:21:12Z"},{"id":42703759,"title":"Learn PyTorch LeetCode Style","url":"https://github.com/Exorust/TorchLeet","rank":-9.54598349169516,"score":1,"time":"2025-01-14T20:59:01Z"},{"id":42782849,"title":"Show HN: PyTorch solutions for NumPy-100 exercies","url":"https://github.com/shenxiangzhuang/Oh-PyTorch/blob/master/100-PyTorch-Exercises.ipynb","rank":-7.994748098554717,"score":1,"time":"2025-01-21T17:31:29Z"},{"id":42842868,"title":"New Years resolutions for PyTorch in 2025","url":"http://blog.ezyang.com/2025/01/new-years-resolutions-for-pytorch-in-2025/","rank":-8.333290894816093,"score":1,"time":"2025-01-27T16:33:12Z"},{"id":42868193,"title":"PyTorch 2.6.0 Release","url":"https://github.com/pytorch/pytorch/releases/tag/v2.6.0","rank":-9.104350122886538,"score":2,"time":"2025-01-29T17:33:18Z"},{"id":42868701,"title":"PyTorch 2.6 Delivers FP16 Support for x86 CPUs, Better Intel GPU Experience","url":"https://www.phoronix.com/news/PyTorch-2.6-Released","rank":-6.644975975894096,"score":1,"time":"2025-01-29T18:04:55Z"},{"id":42868770,"title":"A minimal PyTorch implementation for training your own small LLM from scratch","url":"https://github.com/Om-Alve/smolGPT","rank":-6.87719456208556,"score":434,"time":"2025-01-29T18:09:19Z"},{"id":42875751,"title":"PyTorch 2.6","url":"https://pytorch.org/blog/pytorch2-6/","rank":-10.032646621485735,"score":1,"time":"2025-01-30T07:35:02Z"},{"id":42876202,"title":"PyTorch 2.6 Delivers FP16 Support for x86 CPUs, Better Intel GPU Experience","url":"https://www.phoronix.com/news/PyTorch-2.6-Released","rank":-6.644975975894096,"score":2,"time":"2025-01-30T09:08:18Z"},{"id":42884635,"title":"PyTorch training optimizations: 5× faster with GPU profiling and memory analysis","url":"https://medium.com/@alishafique3/pytorch-training-optimizations-5-throughput-with-gpu-profiling-and-memory-analysis-31cb2b1f95cc","rank":-7.126231333808056,"score":2,"time":"2025-01-31T04:13:33Z"},{"id":43141751,"title":"Understanding ML: Creating a PyTorch-Inspired Deep Learning Library from Scratch","url":"https://www.henrypan.com/blog/2025-02-06-ml-by-hand/","rank":-7.126231333808056,"score":1,"time":"2025-02-22T18:42:41Z"},{"id":43149174,"title":"Grokking Implementations in Jax/Flax and PyTorch","url":"https://amund.blog/pytorch_jax_grokking/","rank":-8.333290894816093,"score":2,"time":"2025-02-23T13:44:55Z"},{"id":43252660,"title":"Building a Hand-Drawn Digit Recognizer with PyTorch and Mnist","url":"https://zackproser.com/blog/mnist-pytorch-hand-drawn-digit-recognizer","rank":-7.393981997272879,"score":3,"time":"2025-03-04T10:05:07Z"},{"id":43301236,"title":"We did it You can now run PyTorch models on CPU only machines and get GPU speed","url":"https://docs.woolyai.com/","rank":-5.8542645718254045,"score":4,"time":"2025-03-08T16:09:09Z"},{"id":43334780,"title":"Show HN: Torchrunx, a functional utility for multi-node PyTorch","url":"https://torchrun.xyz","rank":-7.393981997272879,"score":1,"time":"2025-03-11T17:15:53Z"},{"id":43414512,"title":"Open-source LLM beats OpenAI o1 and DeepSeek-R1 for PyTorch-to-Triton codegen","url":"https://huggingface.co/predibase/Predibase-T2T-32B-RFT","rank":-6.4279275509094935,"score":2,"time":"2025-03-19T16:58:50Z"},{"id":43435438,"title":"Show HN: Torch Lens Maker – Differentiable Geometric Optics in PyTorch","url":"https://victorpoughon.github.io/torchlensmaker/","rank":-7.393981997272879,"score":179,"time":"2025-03-21T13:29:11Z"},{"id":43445931,"title":"PyTorch Internals: Ezyang's Blog","url":"https://blog.ezyang.com/2019/05/pytorch-internals/","rank":-9.104350122886538,"score":443,"time":"2025-03-22T14:39:04Z"},{"id":43507579,"title":"Scaling Your K8s PyTorch CPU-Only Pods to Run CUDA with WoolyAI","url":"https://woolyai.com/scaling-your-k8s-pytorch-cpu-pods-to-run-cuda-with-the-remote-woolyai-gpu-acceleration-service/","rank":-6.87719456208556,"score":2,"time":"2025-03-28T16:54:36Z"},{"id":43559190,"title":"PyTorch and Python Free-Threading: Unlocking multi-threaded parallel inference","url":"https://trent.me/articles/pytorch-and-python-free-threading/","rank":-7.393981997272879,"score":2,"time":"2025-04-02T17:38:32Z"},{"id":43573278,"title":"Quantization-Aware Training for Large Language Models with PyTorch (2024)","url":"https://pytorch.org/blog/quantization-aware-training/","rank":-7.393981997272879,"score":2,"time":"2025-04-03T18:04:34Z"},{"id":43598690,"title":"NanoMoE: Mixture-of-Experts (Moe) LLMs from Scratch in PyTorch","url":"https://cameronrwolfe.substack.com/p/nano-moe","rank":-7.393981997272879,"score":4,"time":"2025-04-06T03:15:47Z"},{"id":43642401,"title":"Optimizing PyTorch Docker images: how to cut size by 60% – Marton Veges","url":"https://mveg.es/posts/optimizing-pytorch-docker-images-cut-size-by-60percent/","rank":-6.87719456208556,"score":2,"time":"2025-04-10T10:02:26Z"},{"id":43672527,"title":"VGGT PyTorch Inference","url":"https://github.com/ibaiGorordo/vggt-pytorch-inference","rank":-10.032646621485735,"score":1,"time":"2025-04-13T13:06:17Z"},{"id":43747491,"title":"Show HN: Keep your model in VRAM by hot swapping PyTorch code","url":"https://github.com/valine/training-hot-swap/edit/master/README.md","rank":-6.87719456208556,"score":0,"time":"2025-04-21T00:07:13Z"},{"id":43747560,"title":"Show HN: Keep your PyTorch model in VRAM by hot swapping code","url":"https://github.com/valine/training-hot-swap/","rank":-6.87719456208556,"score":77,"time":"2025-04-21T00:21:27Z"},{"id":43754492,"title":"Matmul() using PyTorch's MPS back end is faster than Apple's MLX","url":"https://kevinmartinjose.com/2025/04/21/matmul-using-pytorchs-mps-backend-is-faster-than-apples-mlx/","rank":-6.644975975894096,"score":1,"time":"2025-04-21T17:44:15Z"},{"id":43774045,"title":"PyTorch 2.7.0 Release","url":"https://pytorch.org/blog/pytorch2-7/","rank":-9.104350122886538,"score":2,"time":"2025-04-23T16:49:41Z"},{"id":43775767,"title":"PyTorch 2.7 Release","url":"https://pytorch.org/blog/pytorch-2-7/","rank":-9.54598349169516,"score":3,"time":"2025-04-23T19:25:06Z"},{"id":43781386,"title":"Implement a ChatGPT-like LLM in PyTorch from scratch, step by step","url":"https://github.com/rasbt/LLMs-from-scratch","rank":-6.87719456208556,"score":2,"time":"2025-04-24T11:24:43Z"},{"id":43782238,"title":"PyTorch 2.7 Release with Blackwell support","url":"https://pytorch.org/blog/pytorch-2-7/","rank":-8.333290894816093,"score":3,"time":"2025-04-24T13:06:02Z"},{"id":43786514,"title":"PyGraph: Robust Compiler Support for CUDA Graphs in PyTorch","url":"https://arxiv.org/abs/2503.19779","rank":-7.682638287284367,"score":84,"time":"2025-04-24T19:28:29Z"},{"id":43787028,"title":"Microsoft brings native PyTorch Arm support to Windows devices","url":"https://www.neowin.net/news/microsoft-brings-native-pytorch-arm-support-to-windows-devices/","rank":-7.682638287284367,"score":3,"time":"2025-04-24T20:16:21Z"},{"id":43879447,"title":"Low-Latency Bayesian Inference: Deploying Models with PyTorch and ONNX","url":"https://world.hey.com/apetrov/low-latency-bayesian-inference-deploying-models-with-pytorch-and-onnx-8b3a30f3","rank":-7.393981997272879,"score":7,"time":"2025-05-03T14:55:05Z"},{"id":43916687,"title":"PyTorch Foundation Expands and Welcomes VLLM and DeepSpeed","url":"https://pytorch.org/blog/press-release-pytorch-foundation-expands-welcomes-projects-vllm-deepspeed/","rank":-7.994748098554717,"score":2,"time":"2025-05-07T15:06:48Z"},{"id":43917361,"title":"PyTorch Foundation Welcomes VLLM and DeepSpeed as Hosted Projects","url":"https://thenewstack.io/pytorch-foundation-welcomes-vllm-and-deepspeed-as-hosted-projects/","rank":-7.682638287284367,"score":3,"time":"2025-05-07T15:57:45Z"},{"id":43922361,"title":"VLLM is now a PyTorch Foundation-hosted project","url":"https://pytorch.org/blog/pytorch-foundation-welcomes-vllm/","rank":-7.994748098554717,"score":2,"time":"2025-05-08T01:51:16Z"},{"id":44004628,"title":"One-click exporter from PyTorch models to Web-ready ONNX with TS wrappers","url":"https://www.npmjs.com/package/wrapture","rank":-6.644975975894096,"score":1,"time":"2025-05-16T12:30:14Z"},{"id":44015861,"title":"Show HN: Simple Transformer Implementation in PyTorch","url":"https://github.com/jamesma100/transformer-from-scratch","rank":-8.333290894816093,"score":1,"time":"2025-05-17T17:53:01Z"},{"id":44041969,"title":"FastGPT: Faster than PyTorch in 300 lines of Fortran (2023)","url":"https://ondrejcertik.com/blog/2023/03/fastgpt-faster-than-pytorch-in-300-lines-of-fortran/","rank":-7.393981997272879,"score":2,"time":"2025-05-20T14:19:22Z"},{"id":44087494,"title":"Getting reproducible training results with Fast.ai and PyTorch","url":"https://dronelab.dev/posts/getting-reproducible-results/","rank":-7.682638287284367,"score":1,"time":"2025-05-25T13:01:16Z"},{"id":44171923,"title":"Speeding up PyTorch cold start times","url":"https://blog.jonlu.ca/posts/optimizing-model-load-times","rank":-8.701773124615425,"score":2,"time":"2025-06-03T16:41:12Z"},{"id":44268487,"title":"Show HN: I built a tool to turn handwriting into a font with PyTorch/OpenCV","url":"https://handfonted.xyz/","rank":-6.224609773336247,"score":2,"time":"2025-06-13T13:46:57Z"},{"id":44270059,"title":"An Open Source Stack for AI Compute: Kubernetes and Ray and PyTorch and VLLM","url":"https://www.anyscale.com/blog/ai-compute-open-source-stack-kubernetes-ray-pytorch-vllm","rank":-6.4279275509094935,"score":1,"time":"2025-06-13T16:40:05Z"},{"id":44276476,"title":"I have reimplemented Stable Diffusion 3.5 from scratch in pure PyTorch","url":"https://github.com/yousef-rafat/miniDiffusion","rank":-6.87719456208556,"score":481,"time":"2025-06-14T13:56:46Z"},{"id":44282418,"title":"An OSS Stack for AI Compute: Kubernetes + Ray + PyTorch + LLM","url":"https://www.anyscale.com/blog/ai-compute-open-source-stack-kubernetes-ray-pytorch-vllm","rank":-6.644975975894096,"score":3,"time":"2025-06-15T14:19:58Z"},{"id":44327842,"title":"Adapting nnue-PyTorch's binary position format for Lichess","url":"https://lichess.org/@/revoof/blog/adapting-nnue-pytorchs-binary-position-format-for-lichess/cpeeAMeY","rank":-7.682638287284367,"score":1,"time":"2025-06-20T14:03:44Z"},{"id":44338134,"title":"PyTorch Reshaping with None","url":"https://blog.detorch.xyz/post/2025-06-21-pytorch-reshaping-with-none.md","rank":-9.54598349169516,"score":18,"time":"2025-06-21T15:03:45Z"},{"id":44353868,"title":"Fault Tolerant Llama training – PyTorch blog","url":"https://pytorch.org/blog/fault-tolerant-llama-training-with-2000-synthetic-failures-every-15-seconds-and-no-checkpoints-on-crusoe-l40s/","rank":-8.701773124615425,"score":66,"time":"2025-06-23T09:30:02Z"},{"id":44358759,"title":"FlexAttention: PyTorch Compiler Series [video]","url":"https://www.youtube.com/watch?v=UUIKnca31Ao","rank":-9.104350122886538,"score":1,"time":"2025-06-23T18:44:37Z"},{"id":44426685,"title":"PyTorch and VLLM","url":"https://pytorch.org/blog/pytorch-vllm-%e2%99%a5%ef%b8%8f/","rank":-10.032646621485735,"score":1,"time":"2025-06-30T19:00:30Z"},{"id":44447779,"title":"PyTorch in One Hour: From Tensors to Training Neural Networks on Multiple GPUs","url":"https://sebastianraschka.com/teaching/pytorch-1h/","rank":-6.644975975894096,"score":4,"time":"2025-07-02T19:21:57Z"},{"id":44464258,"title":"How Many Agents Does it Take to Beat PyTorch? (surprisingly not that much)","url":"https://letters.lossfunk.com/p/how-many-agents-does-it-take-to-beat","rank":-6.644975975894096,"score":3,"time":"2025-07-04T13:14:44Z"},{"id":44468850,"title":"PyTorch, more like MyTorch Check it out","url":"https://github.com/nnayz/MyTorch","rank":-8.333290894816093,"score":2,"time":"2025-07-04T23:31:05Z"},{"id":44532047,"title":"Comparing PyTorch code optimization Gemini vs. Claude","url":"http://addxorrol.blogspot.com/2025/07/understand-neural-nets-better-post-5-of.html","rank":-8.333290894816093,"score":3,"time":"2025-07-11T13:42:09Z"},{"id":44559756,"title":"When More Cores Means Less Speed: Debugging PyTorch with Valgrind on ARM","url":"https://blog.cloudkernels.net/posts/torch-arm-debug/","rank":-6.87719456208556,"score":2,"time":"2025-07-14T13:06:43Z"},{"id":44599654,"title":"Hands-On Machine Learning with Scikit-Learn and PyTorch","url":"https://www.oreilly.com/library/view/hands-on-machine-learning/9798341607972/","rank":-7.682638287284367,"score":1,"time":"2025-07-17T23:53:24Z"},{"id":44606275,"title":"Dendritic Learning: open-source upgrade to PyTorch based on modern neuroscience","url":"https://github.com/PerforatedAI/PerforatedAI","rank":-7.126231333808056,"score":3,"time":"2025-07-18T16:02:01Z"},{"id":44623665,"title":"PyTorch in One Hour: From Tensors to Training Neural Networks on Multiple GPUs","url":"https://sebastianraschka.com/teaching/pytorch-1h/","rank":-6.644975975894096,"score":4,"time":"2025-07-20T10:23:03Z"},{"id":44663980,"title":"Optimizing Tool Selection in LLM Workflows(Part 2): A DSPy and PyTorch Benchmark","url":"https://viksit.substack.com/p/evaluation-tool-selection-in-llms","rank":-6.644975975894096,"score":1,"time":"2025-07-23T20:58:26Z"},{"id":44674243,"title":"Package to interactively visualize large PyTorch models in notebooks: torchvista","url":"https://github.com/sachinhosmani/torchvista","rank":-7.393981997272879,"score":6,"time":"2025-07-24T18:25:05Z"},{"id":44742853,"title":"An Open Source Stack for AI Compute: Kubernetes and Ray and PyTorch and VLLM","url":"https://www.anyscale.com/blog/ai-compute-open-source-stack-kubernetes-ray-pytorch-vllm","rank":-6.4279275509094935,"score":1,"time":"2025-07-31T06:18:13Z"},{"id":44767214,"title":"PyTorch in One Hour: From Tensors to Training Neural Networks on Multiple GPUs","url":"https://sebastianraschka.com/teaching/pytorch-1h/","rank":-6.644975975894096,"score":1,"time":"2025-08-02T12:53:56Z"},{"id":44779115,"title":"Show HN: We made PyTorch profiling usable for ML engineers","url":"https://herdora.mintlify.app/","rank":-7.393981997272879,"score":3,"time":"2025-08-03T19:40:29Z"},{"id":44782155,"title":"The open source AI compute tech stack: Kubernetes and Ray and PyTorch and vLLM [video]","url":"https://www.youtube.com/watch?v=-cbcJb9j1yg","rank":-6.224609773336247,"score":2,"time":"2025-08-04T04:36:13Z"},{"id":44824124,"title":"PyTorch 2.8 Release","url":"https://pytorch.org/blog/pytorch-2-8/","rank":-9.54598349169516,"score":3,"time":"2025-08-07T13:19:50Z"},{"id":44879977,"title":"D-Wave PyTorch plugin for quantum-classical hybrid machine learning","url":"https://github.com/dwavesystems/dwave-pytorch-plugin","rank":-7.393981997272879,"score":2,"time":"2025-08-12T18:20:33Z"},{"id":44894676,"title":"Installing PyTorch with hardware detection via a variant-enabled build of uv","url":"https://astral.sh/blog/wheel-variants","rank":-6.87719456208556,"score":1,"time":"2025-08-13T22:33:13Z"},{"id":44901116,"title":"PyTorch Wheel Variants, the Frontier of Python Packaging","url":"https://pytorch.org/blog/pytorch-wheel-variants/","rank":-7.994748098554717,"score":1,"time":"2025-08-14T14:52:33Z"},{"id":44924566,"title":"Matmul() using PyTorch's MPs back end is faster than Apple's MLX","url":"https://kevinmartinjose.com/2025/04/21/matmul-using-pytorchs-mps-backend-is-faster-than-apples-mlx/","rank":-6.644975975894096,"score":2,"time":"2025-08-16T15:59:43Z"},{"id":44935964,"title":"A Comparative Survey of PyTorch vs. TensorFlow for Deep Learning","url":"https://arxiv.org/abs/2508.04035","rank":-7.393981997272879,"score":3,"time":"2025-08-17T23:51:36Z"},{"id":44943225,"title":"Learn PyTorch for deep learning in a day - literally [video]","url":"https://www.youtube.com/watch?v=Z_ikDlimN6A","rank":-7.393981997272879,"score":3,"time":"2025-08-18T17:34:04Z"},{"id":44943802,"title":"Tiny-Qwen: Minimal PyTorch Re-Implementation of Qwen3 and Qwen2.5-VL","url":"https://github.com/Emericen/tiny-qwen","rank":-6.87719456208556,"score":2,"time":"2025-08-18T18:33:09Z"},{"id":44962059,"title":"Gemma 3 270M re-implemented in pure PyTorch for local tinkering","url":"https://github.com/rasbt/LLMs-from-scratch/tree/main/ch05/12_gemma3","rank":-7.126231333808056,"score":417,"time":"2025-08-20T14:01:26Z"},{"id":45016099,"title":"Bert Maher (HHVM, PyTorch, Triton) Joins Anthropic","url":"https://twitter.com/tensorbert/status/1959988769010127284","rank":-8.333290894816093,"score":1,"time":"2025-08-25T17:07:02Z"},{"id":45118111,"title":"Speeding up PyTorch inference by 87% on Apple with AI-generated Metal kernels","url":"https://gimletlabs.ai/blog/ai-generated-metal-kernels","rank":-6.644975975894096,"score":187,"time":"2025-09-03T17:03:35Z"},{"id":45131301,"title":"vLLM with torch.compile: Efficient LLM inference on PyTorch","url":"https://blog.vllm.ai/2025/08/20/torch-compile.html","rank":-7.682638287284367,"score":1,"time":"2025-09-04T19:30:47Z"},{"id":45133673,"title":"A PyTorch plugin to rethink AI's core","url":"https://www.forbes.com/sites/ronschmelzer/2025/08/29/this-team-is-rethinking-ais-core-perforated-ai-bets-on-dendrites/","rank":-7.994748098554717,"score":4,"time":"2025-09-05T00:11:04Z"},{"id":45144569,"title":"So you want to control flow in PyTorch 2","url":"https://blog.ezyang.com/2025/09/so-you-want-to-control-flow-in-pt2/","rank":-7.682638287284367,"score":2,"time":"2025-09-05T22:46:56Z"},{"id":45164762,"title":"I Solved PyTorch's Cross-Platform Nightmare","url":"https://svana.name/2025/09/how-i-solved-pytorchs-cross-platform-nightmare/","rank":-8.333290894816093,"score":73,"time":"2025-09-08T04:59:35Z"},{"id":45192000,"title":"Introducing BackendBench: how well LLMs and humans can write PyTorch backends","url":"https://github.com/meta-pytorch/BackendBench/blob/main/docs/correctness.md","rank":-7.126231333808056,"score":2,"time":"2025-09-10T01:36:18Z"},{"id":45237314,"title":"Disaggregated Inference at Scale with PyTorch and VLLM","url":"https://pytorch.org/blog/disaggregated-inference-at-scale-with-pytorch-vllm/","rank":-7.994748098554717,"score":2,"time":"2025-09-14T03:57:13Z"},{"id":45357521,"title":"Show HN: GravOptAdaptive – Drop-In PyTorch Optimizer, 25% Faster Training","url":"https://drereg.gumroad.com/l/joehz","rank":-7.393981997272879,"score":1,"time":"2025-09-24T07:54:26Z"},{"id":45379326,"title":"GraphMend: Code Transformations for Fixing Graph Breaks in PyTorch 2","url":"https://arxiv.org/abs/2509.16248","rank":-7.393981997272879,"score":3,"time":"2025-09-25T21:25:53Z"},{"id":45379669,"title":"Hiding a message in my PyTorch weights","url":"https://blog.gabornyeki.com/2024-11-hiding-a-message-in-my-pytorch-weights/","rank":-8.333290894816093,"score":1,"time":"2025-09-25T21:55:40Z"},{"id":45398069,"title":"Differentiable Curves for PyTorch","url":"https://github.com/alexshtf/torchcurves","rank":-9.54598349169516,"score":1,"time":"2025-09-27T18:06:53Z"},{"id":45429747,"title":"Show HN: TorchCurves – Differentiable parametric curves for PyTorch","url":"https://github.com/alexshtf/torchcurves","rank":-7.994748098554717,"score":1,"time":"2025-09-30T19:04:47Z"},{"id":45442225,"title":"Show HN: TraceML – a lightweight tool to trace memory usage in PyTorch training","url":"https://github.com/traceopt-ai/traceml","rank":-6.644975975894096,"score":1,"time":"2025-10-01T19:33:31Z"},{"id":45468871,"title":"Show HN: TorchSystem, Event driven systems with PyTorch","url":"https://github.com/entropy-flux/TorchSystem","rank":-7.994748098554717,"score":1,"time":"2025-10-03T23:13:39Z"},{"id":45473086,"title":"I created a lib for turning PyTorch training scripts into event driven systems","url":"https://github.com/entropy-flux/TorchSystem","rank":-6.644975975894096,"score":2,"time":"2025-10-04T13:14:55Z"},{"id":45474273,"title":"Show HN: WhyTorch – visual explainer for PyTorch Functions","url":"https://whytorch.org","rank":-7.994748098554717,"score":2,"time":"2025-10-04T16:01:03Z"},{"id":45491057,"title":"A beginner's guide to deploying LLMs with AMD on Windows using PyTorch","url":"https://gpuopen.com/learn/pytorch-windows-amd-llm-guide/","rank":-6.644975975894096,"score":128,"time":"2025-10-06T13:15:00Z"},{"id":45562556,"title":"Show HN: Run PyTorch locally with a remote GPU backend","url":"https://github.com/alyxya/mycelya-torch","rank":-7.393981997272879,"score":5,"time":"2025-10-12T22:22:45Z"},{"id":45598462,"title":"PyTorch 2.9 released with C ABI and better multi-GPU support","url":"https://pytorch.org/blog/pytorch-2-9/","rank":-6.87719456208556,"score":3,"time":"2025-10-15T21:15:33Z"},{"id":45605528,"title":"PyTorch and Python Free-Threading","url":"https://trent.me/articles/pytorch-and-python-free-threading/","rank":-9.104350122886538,"score":10,"time":"2025-10-16T14:06:12Z"},{"id":45607702,"title":"VLLM TPU: A New Unified Back End Supporting PyTorch and Jax on TPU","url":"https://blog.vllm.ai/2025/10/16/vllm-tpu.html","rank":-6.644975975894096,"score":1,"time":"2025-10-16T16:49:54Z"},{"id":45617250,"title":"PyTorch 2.9","url":"https://pytorch.org/blog/pytorch-2-9/","rank":-10.032646621485735,"score":1,"time":"2025-10-17T14:33:08Z"},{"id":45618472,"title":"vLLM TPU: A New Unified Backend Supporting PyTorch and JAX on TPU","url":"https://blog.vllm.ai/2025/10/16/vllm-tpu.html","rank":-6.87719456208556,"score":1,"time":"2025-10-17T16:17:39Z"},{"id":45666243,"title":"torchcomms: A modern PyTorch communications API","url":"https://github.com/meta-pytorch/torchcomms","rank":-8.701773124615425,"score":2,"time":"2025-10-22T08:24:32Z"},{"id":45671600,"title":"PyTorch Monarch","url":"https://pytorch.org/blog/introducing-pytorch-monarch/","rank":-10.571596455451935,"score":2,"time":"2025-10-22T16:29:41Z"},{"id":45680237,"title":"PyTorch Monarch","url":"https://pytorch.org/blog/introducing-pytorch-monarch/","rank":-10.571596455451935,"score":377,"time":"2025-10-23T10:15:12Z"},{"id":45683252,"title":"PyTorch OpenEnv","url":"https://github.com/meta-pytorch/OpenEnv","rank":-10.571596455451935,"score":1,"time":"2025-10-23T15:49:13Z"},{"id":45684253,"title":"The bug that taught me more about PyTorch than years of using it","url":"https://elanapearl.github.io/blog/2025/the-bug-that-taught-me-pytorch/","rank":-6.644975975894096,"score":465,"time":"2025-10-23T17:06:35Z"},{"id":45697308,"title":"PyTorch Conference 2025 GitHub Repos","url":"https://tyler-hilbert.github.io/PyTorchConference2025_GithubRepos/","rank":-9.104350122886538,"score":1,"time":"2025-10-24T17:58:17Z"},{"id":45697913,"title":"Retro Language Models: Rebuilding Karpathy's RNN in PyTorch","url":"https://www.gilesthomas.com/2025/10/retro-language-models-rebuilding-karpathys-rnn-in-pytorch","rank":-7.682638287284367,"score":3,"time":"2025-10-24T18:55:35Z"},{"id":45698787,"title":"FlashPack: Fast Model Loading for PyTorch","url":"https://blog.fal.ai/introducing-flashpack-lightning-fast-model-loading-for-pytorch/","rank":-8.701773124615425,"score":4,"time":"2025-10-24T20:36:13Z"},{"id":45706545,"title":"Torchcomms: A modern PyTorch communications API","url":"https://pytorch.org/blog/torchcomms/","rank":-8.701773124615425,"score":30,"time":"2025-10-25T20:00:36Z"},{"id":45707342,"title":"FAL Flashpack: High-throughput tensor loading for PyTorch","url":"https://github.com/fal-ai/flashpack","rank":-7.994748098554717,"score":1,"time":"2025-10-25T21:59:56Z"},{"id":45723900,"title":"Retro Language Models: Rebuilding Karpathy's RNN in PyTorch","url":"https://www.gilesthomas.com/2025/10/retro-language-models-rebuilding-karpathys-rnn-in-pytorch","rank":-7.682638287284367,"score":1,"time":"2025-10-27T17:32:20Z"},{"id":45732844,"title":"RFC: Evolving PyTorch/XLA for a more native experience on TPU","url":"https://github.com/pytorch/xla/issues/9684","rank":-7.126231333808056,"score":3,"time":"2025-10-28T13:46:31Z"},{"id":45758621,"title":"Torchforge – a PyTorch native library for scalable RL post-training","url":"https://pytorch.org/blog/introducing-torchforge/","rank":-7.393981997272879,"score":2,"time":"2025-10-30T11:04:35Z"},{"id":45777787,"title":"Introduction to Parallelism in PyTorch","url":"https://ggrigorev.me/posts/introduction-to-parallelism/","rank":-9.104350122886538,"score":2,"time":"2025-10-31T23:19:25Z"},{"id":45783459,"title":"TorchTL – A minimal training loop abstraction for PyTorch","url":"https://github.com/abdimoallim/torchtl","rank":-7.994748098554717,"score":2,"time":"2025-11-01T17:23:58Z"},{"id":45788194,"title":"PyTorch Helion","url":"https://pytorch.org/blog/helion/","rank":-10.571596455451935,"score":150,"time":"2025-11-02T06:21:37Z"},{"id":45800363,"title":"Masked Softmax Layers in PyTorch","url":"https://mcognetta.github.io/posts/masked_softmax/","rank":-9.104350122886538,"score":4,"time":"2025-11-03T15:49:52Z"},{"id":45806217,"title":"I made PyTorch 2.10.0a0 for sm120","url":"https://huggingface.co/bodhistone/pytorch-rtx5080-windows11/resolve/main/pytorch-v2.10.0-sm120.7z","rank":-7.994748098554717,"score":1,"time":"2025-11-04T00:31:33Z"},{"id":45813922,"title":"Running load using official Nvidia PyTorch image boost performance by 50%","url":"https://bartusiak.ai/2025/11/04/is-it-worth.html","rank":-7.126231333808056,"score":2,"time":"2025-11-04T18:00:04Z"},{"id":45825692,"title":"DeepInverse Joins the PyTorch Ecosystem","url":"https://pytorch.org/blog/deepinverse-joins-pytorch-ecosystem/","rank":-9.104350122886538,"score":2,"time":"2025-11-05T17:47:28Z"},{"id":45829287,"title":"A PoC to make a backdoored PyTorch neural network","url":"https://hacktelligence.org/backdoor_pytorch/","rank":-7.682638287284367,"score":2,"time":"2025-11-05T23:07:05Z"},{"id":45837455,"title":"We Started with Jax but Moved to PyTorch","url":"https://mlechner.substack.com/p/why-we-started-with-jax-but-moved","rank":-7.994748098554717,"score":2,"time":"2025-11-06T17:06:51Z"},{"id":45838710,"title":"Leaving PyTorch and Meta","url":"https://soumith.ch/blog/2025-11-06-leaving-meta-and-pytorch.md.html","rank":-9.54598349169516,"score":7,"time":"2025-11-06T18:41:05Z"},{"id":45841516,"title":"PyTorch Co-Founder Soumith Chintala Departs Meta After 11 Years","url":"https://twitter.com/soumithchintala/status/1986503070734557568","rank":-7.393981997272879,"score":2,"time":"2025-11-06T22:55:05Z"},{"id":45843948,"title":"Leaving Meta and PyTorch","url":"https://soumith.ch/blog/2025-11-06-leaving-meta-and-pytorch.md.html","rank":-9.54598349169516,"score":721,"time":"2025-11-07T06:14:50Z"},{"id":45897273,"title":"Hands-On Machine Learning with Scikit-Learn and PyTorch","url":"https://github.com/ageron/handson-mlp","rank":-7.682638287284367,"score":2,"time":"2025-11-12T07:26:07Z"},{"id":45913806,"title":"Mixture-of-Experts explained with PyTorch implementation","url":"https://medium.com/@lightcapai/scaling-transformers-with-mixture-of-experts-moe-1a361fee46bf","rank":-8.333290894816093,"score":1,"time":"2025-11-13T11:52:51Z"},{"id":45925102,"title":"Cifar-100 classifier in PyTorch (with demo)","url":"https://github.com/Amirali-SoltaniRad/cifar100-classification","rank":-8.333290894816093,"score":2,"time":"2025-11-14T08:49:05Z"},{"id":45925684,"title":"Deep universal probabilistic programming with Python and PyTorch","url":"https://github.com/pyro-ppl/pyro","rank":-7.994748098554717,"score":1,"time":"2025-11-14T10:44:57Z"},{"id":45986364,"title":"One-line tensor visualization for PyTorch and NumPy","url":"https://github.com/anilzeybek/vizy","rank":-7.994748098554717,"score":2,"time":"2025-11-19T22:47:09Z"},{"id":46029258,"title":"Show HN: GPT-OSS Flash Attention via Native PyTorch SDPA","url":"https://gist.github.com/markrogersjr/ebada9ad3a31381d8d4e0d956c852569","rank":-7.393981997272879,"score":2,"time":"2025-11-24T01:23:28Z"},{"id":46051241,"title":"20x less peak RAM in the new PyTorch memory budget solver","url":"https://jedrzej.maczan.pl/2025_11_21_dp_knapsack_sliding_hirschberg","rank":-7.126231333808056,"score":8,"time":"2025-11-25T21:52:19Z"},{"id":46067910,"title":"Show HN: PyTorch-World – Modular Library to Build and Train World Models","url":"https://github.com/ParamThakkar123/pytorch-world","rank":-6.87719456208556,"score":2,"time":"2025-11-27T10:38:28Z"},{"id":46097267,"title":"Show HN: Speculative Decoding from Scratch in PyTorch (2.8x CPU Speedup)","url":"https://github.com/kunal51107/Speculative-decoding-engine","rank":-6.87719456208556,"score":4,"time":"2025-11-30T15:15:41Z"},{"id":46101302,"title":"Refining my process of attacking large codebases and contributing to PyTorch","url":"https://michaelgathara.org/pytorch_lessons","rank":-7.126231333808056,"score":2,"time":"2025-11-30T22:56:49Z"},{"id":46131543,"title":"Show HN: Hirschberg Algorithm in PyTorch","url":"https://jedrzej.maczan.pl/2025_11_21_dp_knapsack_sliding_hirschberg","rank":-8.701773124615425,"score":2,"time":"2025-12-03T08:11:45Z"},{"id":46150699,"title":"Why PyTorch is an amazing place to work and Why I'm Joining Thinking Machines","url":"https://www.thonking.ai/p/why-pytorch-is-an-amazing-place-to","rank":-6.224609773336247,"score":1,"time":"2025-12-04T18:02:27Z"},{"id":46155086,"title":"GBNet: XGBoost and LightGBM Modules for PyTorch","url":"https://github.com/mthorrell/gbnet","rank":-8.333290894816093,"score":2,"time":"2025-12-05T00:03:40Z"},{"id":46173441,"title":"Show HN: PyTorch-World v0.1.0: Build & Train World Models","url":"https://github.com/ParamThakkar123/pytorch-world","rank":-7.126231333808056,"score":3,"time":"2025-12-06T14:03:11Z"},{"id":46173608,"title":"Show HN: WebGPU back end for PyTorch sneak peek","url":"https://github.com/jmaczan/torch-webgpu","rank":-7.682638287284367,"score":4,"time":"2025-12-06T14:27:13Z"},{"id":46259950,"title":"NeuralOperator Joins the PyTorch Ecosystem","url":"https://pytorch.org/blog/neuraloperatorjoins-the-pytorch-ecosystem/","rank":-9.104350122886538,"score":3,"time":"2025-12-14T01:15:32Z"},{"id":46290113,"title":"AIsbom – open-source CLI to detect \"Pickle Bombs\" in PyTorch models","url":"https://github.com/Lab700xOrg/aisbom","rank":-7.126231333808056,"score":52,"time":"2025-12-16T15:55:45Z"},{"id":46309956,"title":"Show HN: Lightning-extra, cloud-native plugins for PyTorch Lightning","url":"https://github.com/ocramz/lightning-extra","rank":-7.393981997272879,"score":1,"time":"2025-12-18T07:43:44Z"},{"id":46312621,"title":"Executorch: On-device AI across mobile, embedded and edge for PyTorch","url":"https://github.com/pytorch/executorch","rank":-7.126231333808056,"score":120,"time":"2025-12-18T13:51:11Z"},{"id":46322392,"title":"Google works with Meta on TorchTPU to enhance TPU compatibility with PyTorch","url":"https://www.reuters.com/business/google-works-erode-nvidias-software-advantage-with-metas-help-2025-12-17/","rank":-6.87719456208556,"score":4,"time":"2025-12-19T04:56:21Z"},{"id":46326192,"title":"Google to make TPUs feel native to PyTorch as it targets Nvidia","url":"https://techinformed.com/google-moves-to-make-tpus-feel-native-to-pytorch-as-it-targets-nvidias-cuda-advantage/","rank":-6.87719456208556,"score":1,"time":"2025-12-19T14:26:06Z"},{"id":46329872,"title":"How PyTorch Generates Random Numbers in Parallel on the GPU","url":"https://blog.codingconfessions.com/p/how-pytorch-generates-random-numbers","rank":-7.393981997272879,"score":2,"time":"2025-12-19T19:31:35Z"},{"id":46353881,"title":"TorchStream: Upgrades PyTorch models to be streamable","url":"https://github.com/CorentinJ/TorchStream","rank":-8.333290894816093,"score":1,"time":"2025-12-22T13:16:07Z"},{"id":46369897,"title":"Show HN: Greed.js – Run PyTorch code in browser using WebGPU","url":"https://github.com/Deep-ML-codebase/greed","rank":-7.126231333808056,"score":1,"time":"2025-12-23T21:51:54Z"},{"id":46442502,"title":"Torch.ts – building PyTorch in TypeScript from scratch to learn","url":"https://github.com/13point5/torch.ts","rank":-7.393981997272879,"score":42,"time":"2025-12-31T08:49:29Z"},{"id":46443586,"title":"Show HN: LoureiroGate – Differentiable Physics Guardrails for PyTorch","url":"https://github.com/Ashioya-ui/loureiro-gate","rank":-7.994748098554717,"score":1,"time":"2025-12-31T12:33:28Z"},{"id":46514209,"title":"Show HN: Training a Hamiltonian Neural Netwrork from Scratch in PyTorch","url":"https://github.com/ritog/harmonic","rank":-7.126231333808056,"score":2,"time":"2026-01-06T16:12:53Z"},{"id":46518897,"title":"Llama 2 inference from scratch in C++20 (No PyTorch/GGML, ARM NEON)","url":"https://github.com/farukalpay/stories100m","rank":-6.87719456208556,"score":8,"time":"2026-01-06T21:16:13Z"},{"id":46551780,"title":"Dimtensor – Unit-aware tensors for PyTorch and Jax","url":"https://github.com/marcoloco23/dimtensor","rank":-7.994748098554717,"score":1,"time":"2026-01-09T09:24:47Z"},{"id":46576199,"title":"PyTorch on a $6 Computer","url":"https://www.hackster.io/spartacoos/pytorch-on-a-6-computer-efb4ff","rank":-9.104350122886538,"score":4,"time":"2026-01-11T14:51:58Z"},{"id":46577822,"title":"Why Julia's GPU Accelerated Ode Solvers Are 20x-100x Faster Than Jax and PyTorch","url":"https://www.stochasticlifestyle.com/why-julias-gpu-accelerated-ode-solvers-are-20x-100x-faster-than-jax-and-pytorch/","rank":-6.224609773336247,"score":5,"time":"2026-01-11T17:51:35Z"},{"id":46603666,"title":"Executorch-Ruby: Run PyTorch Models in Ruby via ExecuTorch","url":"https://github.com/benngarcia/executorch-ruby","rank":-7.682638287284367,"score":4,"time":"2026-01-13T16:54:19Z"},{"id":46608338,"title":"Show HN: Run and Compile LLMs in PyTorch on WebGPU","url":"https://github.com/jmaczan/torch-webgpu","rank":-7.393981997272879,"score":1,"time":"2026-01-13T21:26:42Z"},{"id":46614081,"title":"Show HN: I got PyTorch models running on WebGPU without ONNX export","url":"https://github.com/jmaczan/torch-webgpu","rank":-6.87719456208556,"score":1,"time":"2026-01-14T09:35:24Z"},{"id":46648988,"title":"Show HN: You can run real PyTorch in a browser","url":"https://browser-torch.maczan.pl/","rank":-7.393981997272879,"score":3,"time":"2026-01-16T17:21:17Z"},{"id":46677775,"title":"Teaching RL Replay Buffers to Remember Long-Horizon Rewards (PyTorch)","url":"https://domezsolt.substack.com/p/hippotorch-teaching-rl-agents-to","rank":-7.393981997272879,"score":3,"time":"2026-01-19T11:29:45Z"},{"id":46691419,"title":"Nats.io JetStream with PyTorch: lightweight compositional learning","url":"https://docs.nats.io/nats-concepts/jetstream","rank":-7.994748098554717,"score":1,"time":"2026-01-20T13:06:35Z"},{"id":46727135,"title":"Computer vision papers reimplemented with minimal PyTorch code","url":"https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code","rank":-7.994748098554717,"score":10,"time":"2026-01-23T01:08:16Z"},{"id":46760185,"title":"PyTorch to CoreML converter that generates production Swift/Kotlin code","url":"https://refactor-ai-website.vercel.app/#","rank":-7.393981997272879,"score":1,"time":"2026-01-26T00:19:51Z"},{"id":46785898,"title":"Show HN: Distributed Training Observability for PyTorch (TraceML)","url":"https://github.com/traceopt-ai/traceml","rank":-7.994748098554717,"score":3,"time":"2026-01-27T20:18:50Z"},{"id":46799488,"title":"Show HN: Free On-Device AI SDK to Run PyTorch on Mobile NPUs (Open Source)","url":"https://github.com/zetic-ai/ZETIC_MLange_apps","rank":-6.224609773336247,"score":3,"time":"2026-01-28T18:23:54Z"},{"id":46801460,"title":"EduFSDP: I wrote a minimal PyTorch FSDP to understand how it works (~240 LOC)","url":"https://github.com/0xNaN/edufsdp","rank":-6.4279275509094935,"score":1,"time":"2026-01-28T21:02:45Z"},{"id":46802931,"title":"Getting a Custom PyTorch LLM onto the Hugging Face Hub","url":"https://www.gilesthomas.com/2026/01/custom-automodelforcausallm-frompretrained-models-on-hugging-face","rank":-7.393981997272879,"score":1,"time":"2026-01-28T23:00:22Z"},{"id":46809861,"title":"MLX: Why not implement this in PyTorch?","url":"https://github.com/ml-explore/mlx/issues/12","rank":-8.333290894816093,"score":2,"time":"2026-01-29T13:22:07Z"},{"id":46809938,"title":"Getting a Custom PyTorch LLM onto the Hugging Face Hub","url":"https://www.gilesthomas.com/2026/01/custom-automodelforcausallm-frompretrained-models-on-hugging-face","rank":-7.393981997272879,"score":1,"time":"2026-01-29T13:27:55Z"},{"id":46825666,"title":"Full AI Suite for LispE: Llama.cpp, Tiktoken, MLX and PyTorch","url":"https://lobste.rs/s/clng5d/full_ai_suite_for_lispe_llama_cpp_tiktoken","rank":-7.126231333808056,"score":2,"time":"2026-01-30T15:38:48Z"},{"id":46862551,"title":"Axiom: Hi-perf. C++ tensor lib. NumPy/PyTorch-like API, SIMD,BLAS,Metal support","url":"https://github.com/Frikallo/axiom","rank":-6.4279275509094935,"score":11,"time":"2026-02-02T22:12:49Z"},{"id":46877267,"title":"Show HN: Reimplementing PyTorch from scratch (MLP, CNN) to learn the internals","url":"https://github.com/geyuxu/nn-from-scratch","rank":-6.87719456208556,"score":5,"time":"2026-02-03T21:04:01Z"},{"id":46889658,"title":"Show HN: LayerClaw – Lightweight observability for PyTorch training runs","url":"https://github.com/layerclaw/layerclaw","rank":-7.682638287284367,"score":1,"time":"2026-02-04T18:31:25Z"},{"id":46908465,"title":"Onnx2fx: Yet another ONNX to PyTorch FX converter","url":"https://github.com/mshr-h/onnx2fx","rank":-7.994748098554717,"score":1,"time":"2026-02-06T02:55:07Z"},{"id":46909395,"title":"Building Highly Efficient Inference System for Recommenders Using PyTorch","url":"https://pytorch.org/blog/building-highly-efficient-inference-system-for-recommenders-using-pytorch/","rank":-7.682638287284367,"score":2,"time":"2026-02-06T05:15:19Z"},{"id":46941508,"title":"Memory Infrastructure for AI Systems – Cascade, PyTorch Memory, Hebbian Mind","url":"https://cipscorps.io/#","rank":-7.393981997272879,"score":1,"time":"2026-02-09T04:13:34Z"},{"id":46945460,"title":"Show HN: Finding stragglers in multi-GPU PyTorch (DDP) training","url":"https://github.com/traceopt-ai/traceml","rank":-7.393981997272879,"score":1,"time":"2026-02-09T14:17:48Z"},{"id":46945902,"title":"PyTorch Geometric","url":"https://pytorch-geometric.readthedocs.io/en/latest/#","rank":-10.571596455451935,"score":1,"time":"2026-02-09T14:57:04Z"},{"id":46951686,"title":"Understanding How GIL Affects Checkpoint Performance in PyTorch Training","url":"https://www.shayon.dev/post/2026/38/understanding-how-gil-affects-checkpoint-performance-in-pytorch-training/","rank":-7.682638287284367,"score":1,"time":"2026-02-09T21:30:15Z"},{"id":47002231,"title":"Visual Introduction to PyTorch","url":"https://0byte.io/articles/pytorch_introduction.html","rank":-9.54598349169516,"score":410,"time":"2026-02-13T12:59:33Z"},{"id":47003489,"title":"PyTorch Now Uses Pyrefly for Type Checking","url":"https://pytorch.org/blog/pyrefly-now-type-checks-pytorch/","rank":-8.333290894816093,"score":5,"time":"2026-02-13T15:02:23Z"},{"id":47005093,"title":"PyTorch on ROCm Inside a Litterbox","url":"https://www.rustyelectrons.com/posts/9-pytorch-rocm-litterbox/","rank":-8.701773124615425,"score":1,"time":"2026-02-13T17:13:53Z"},{"id":47069591,"title":"Mooncake Joins PyTorch Ecosystem","url":"https://pytorch.org/blog/mooncake-joins-pytorch-ecosystem/","rank":-9.54598349169516,"score":1,"time":"2026-02-19T03:36:35Z"},{"id":47118752,"title":"Show HN: Optional AI accelerator support without PyTorch (ONNX and NumPy)","url":"https://github.com/ViciousSquid/Dosidicus/wiki/AI-accelerator-support","rank":-7.126231333808056,"score":1,"time":"2026-02-23T06:21:35Z"},{"id":47154922,"title":"Show HN: Mamba3-minimal – PyTorch implementation of Mamba-3","url":"https://github.com/VikramKarLex/mamba3-minimal","rank":-7.682638287284367,"score":1,"time":"2026-02-25T17:45:19Z"},{"id":47173290,"title":"Making PyTorch –> Qualcomm NPUs less treacherous","url":"https://www.muna.ai/blog/qualcomm-npu","rank":-8.701773124615425,"score":1,"time":"2026-02-26T22:56:18Z"},{"id":47197830,"title":"Show HN: Volresample – 3D volume resampling up to 13× faster than PyTorch on CPU","url":"https://github.com/JoHof/volresample","rank":-6.4279275509094935,"score":1,"time":"2026-02-28T17:21:04Z"},{"id":47201529,"title":"Show HN: AxonML – A PyTorch-equivalent ML framework written in Rust","url":"https://github.com/AutomataNexus/AxonML","rank":-7.126231333808056,"score":4,"time":"2026-02-28T23:17:07Z"},{"id":47209844,"title":"Show HN: Nabla – Pure Rust GPU math engine, 7.5× faster matmul than PyTorch","url":"https://github.com/fumishiki/nabla","rank":-6.4279275509094935,"score":1,"time":"2026-03-01T19:30:44Z"},{"id":47221645,"title":"Show HN: Tensor Spy: inspect NumPy and PyTorch tensors in the browser, no upload","url":"https://tensorspy.com/","rank":-6.4279275509094935,"score":22,"time":"2026-03-02T18:05:43Z"},{"id":47236923,"title":"Silent Backwards Compatibility Breaking Changes in PyTorch","url":"https://blog.ezyang.com/2026/03/silent-bc-breaking-changes/","rank":-8.333290894816093,"score":4,"time":"2026-03-03T18:50:50Z"},{"id":47237283,"title":"PyTorch MPS Ops","url":"https://github.com/users/kulinseth/projects/1/views/1","rank":-10.032646621485735,"score":1,"time":"2026-03-03T19:13:53Z"},{"id":47251633,"title":"Show HN: easy-torch-tpu – A Flexible Training Pipeline for PyTorch Models on TPU","url":"https://github.com/aklein4/easy-torch-tpu","rank":-6.4279275509094935,"score":1,"time":"2026-03-04T18:22:14Z"},{"id":47261095,"title":"PyTorch Broadcasting Semantics","url":"https://docs.pytorch.org/docs/stable/notes/broadcasting.html","rank":-10.032646621485735,"score":1,"time":"2026-03-05T13:00:07Z"},{"id":47297982,"title":"Show HN: Drop-in analytical replacements for standard PyTorch layers","url":"https://github.com/infiplexity-pixel/to_the_point/","rank":-7.393981997272879,"score":2,"time":"2026-03-08T15:14:10Z"},{"id":47318488,"title":"CUDA-morph: PyTorch .cuda() code on AMD/Intel/Ascend without rewrites","url":"https://github.com/JosephAhn23/cuda-morph","rank":-7.126231333808056,"score":1,"time":"2026-03-10T02:37:18Z"},{"id":47376504,"title":"KlongPy: PyTorch Back End and Autograd","url":"http://www.klongpy.org/torch_backend/","rank":-8.701773124615425,"score":1,"time":"2026-03-14T13:32:36Z"},{"id":47390014,"title":"PyTorch Visually Explained","url":"https://www.youtube.com/watch?v=G4UAQ6bxQzE","rank":-10.032646621485735,"score":2,"time":"2026-03-15T18:04:01Z"},{"id":47414742,"title":"Native DSLs Ops in PyTorch","url":"https://ianbarber.blog/2026/03/17/native-dsls-ops-in-pytorch/","rank":-9.104350122886538,"score":1,"time":"2026-03-17T16:17:15Z"},{"id":47423351,"title":"Show HN: Neural Abyss – PyTorch multi-agent combat simulator","url":"https://github.com/ayushdnb/Neural-Abyss","rank":-7.682638287284367,"score":1,"time":"2026-03-18T09:08:25Z"},{"id":47428060,"title":"Show HN: Trickle – See PyTorch tensor shapes inline in VSCode as you code","url":"https://github.com/yiheinchai/trickle","rank":-6.644975975894096,"score":7,"time":"2026-03-18T16:47:49Z"},{"id":47469070,"title":"Show HN: I built a PyTorch backend for training across multiple Macs","url":"https://github.com/mps-ddp/mccl/tree/master","rank":-6.87719456208556,"score":1,"time":"2026-03-21T17:23:19Z"},{"id":47472354,"title":"PyTorch Init Functions Explained Visually [video]","url":"https://www.youtube.com/shorts/pp6jV-sd_a0","rank":-8.701773124615425,"score":2,"time":"2026-03-21T22:51:27Z"},{"id":47481747,"title":"Multi-node training on Mac Minis (PyTorch)","url":"https://github.com/mps-ddp/mccl","rank":-8.333290894816093,"score":3,"time":"2026-03-22T20:22:53Z"},{"id":47490045,"title":"LLM written FlashAttention: 1.7x PyTorch","url":"https://xcancel.com/__tinygrad__/status/2036003426933551586","rank":-8.701773124615425,"score":1,"time":"2026-03-23T14:28:13Z"},{"id":47496520,"title":"PyTorch 2.11 Released","url":"https://pytorch.org/blog/pytorch-2-11-release-blog/","rank":-9.54598349169516,"score":7,"time":"2026-03-23T23:26:44Z"},{"id":47498893,"title":"MiniMind: End-to-end GPT-style LLM training pipeline in pure PyTorch","url":"https://github.com/jingyaogong/minimind","rank":-6.87719456208556,"score":3,"time":"2026-03-24T05:25:35Z"},{"id":47519251,"title":"Installing PyTorch with AMD ROCm on GNU/Linux","url":"https://www.wedesoft.de/graphics/2026/03/24/rocm-torch-install/","rank":-7.994748098554717,"score":2,"time":"2026-03-25T16:03:54Z"},{"id":47539294,"title":"Two env vars that fix PyTorch memory creep forever – no code changes","url":"https://github.com/brjen/pytorch-memory-fix","rank":-6.87719456208556,"score":2,"time":"2026-03-27T05:12:09Z"},{"id":47569784,"title":"PyTorch Autograd and Mutation","url":"https://blog.ezyang.com/2026/03/autograd-and-mutation/","rank":-9.54598349169516,"score":4,"time":"2026-03-30T02:34:18Z"},{"id":47583072,"title":"PyTorch Primer","url":"https://bitwise.land/","rank":-10.571596455451935,"score":3,"time":"2026-03-31T05:26:28Z"},{"id":47590624,"title":"Show HN: I built a visual ML trainer that exports to standalone PyTorch code","url":"https://github.com/zaina-ml/ml_forge","rank":-6.4279275509094935,"score":1,"time":"2026-03-31T17:21:36Z"},{"id":47619120,"title":"Springing into AI: PyTorch Conference Europe and ICLR 2026","url":"https://www.collabora.com/news-and-blog/news-and-events/springing-into-ai-pytorch-conference-europe-and-iclr-2026.html","rank":-7.682638287284367,"score":3,"time":"2026-04-02T19:33:28Z"},{"id":47688431,"title":"Hugging Face Contributes Safetensors to PyTorch Foundation","url":"https://www.linuxfoundation.org/press/pytorch-foundation-announces-safetensors-as-newest-contributed-project-to-secure-ai-model-execution","rank":-8.333290894816093,"score":2,"time":"2026-04-08T10:56:56Z"},{"id":47690077,"title":"PyTorch Foundation Adds to Its Portfolio","url":"https://techstrong.ai/features/pytorch-foundation-adds-to-its-portfolio/","rank":-8.701773124615425,"score":2,"time":"2026-04-08T13:38:53Z"},{"id":47690461,"title":"TorchTPU: Running PyTorch Natively on TPUs at Google Scale","url":"https://developers.googleblog.com/torchtpu-running-pytorch-natively-on-tpus-at-google-scale/","rank":-7.682638287284367,"score":1,"time":"2026-04-08T14:08:46Z"},{"id":47691134,"title":"Hugging Face moves safetensors to the PyTorch Foundation","url":"https://huggingface.co/blog/safetensors-joins-pytorch-foundation","rank":-7.994748098554717,"score":3,"time":"2026-04-08T14:56:54Z"},{"id":47716410,"title":"DeepInverse: PyTorch Library for Inverse Problems","url":"https://github.com/deepinv/deepinv","rank":-8.701773124615425,"score":2,"time":"2026-04-10T11:20:38Z"},{"id":47721968,"title":"PyTorch Foundation Expands AI Stack with Safetensors, ExecuTorch, and Helion","url":"https://thenewstack.io/pytorch-ai-stack-expand/","rank":-7.393981997272879,"score":2,"time":"2026-04-10T18:36:42Z"},{"id":47731161,"title":"Show HN: MLForge – A visual graph editor for building PyTorch models","url":"https://github.com/zaina-ml/ml_forge","rank":-7.126231333808056,"score":1,"time":"2026-04-11T14:53:26Z"},{"id":47820109,"title":"Inferena: Local benchmark of PyTorch vs. Llama.cpp vs. Rust frameworks","url":"http://inferena.tech/","rank":-7.126231333808056,"score":2,"time":"2026-04-18T22:33:58Z"},{"id":47834585,"title":"Local ML inference benchmark: PyTorch vs. llama.cpp vs. the Rust ecosystem","url":"http://kvark.github.io/ai/performance/2026/04/19/tales-from-the-inference-land.html","rank":-6.87719456208556,"score":2,"time":"2026-04-20T14:07:02Z"},{"id":47869820,"title":"Proximal Policy Optimization with Clojure and PyTorch","url":"https://clojurecivitas.org/ppo/main.html","rank":-8.333290894816093,"score":2,"time":"2026-04-22T21:58:33Z"},{"id":47874579,"title":"Relational Calculus for PyTorch: A dimensionless, scale-invariant loss function","url":"https://github.com/massimilianoconcas0-del/Relational_Loss_ML","rank":-7.393981997272879,"score":1,"time":"2026-04-23T11:44:43Z"},{"id":47881786,"title":"TorchTPU: Running PyTorch Natively on TPUs at Google Scale","url":"https://developers.googleblog.com/torchtpu-running-pytorch-natively-on-tpus-at-google-scale/","rank":-7.682638287284367,"score":206,"time":"2026-04-23T20:53:27Z"},{"id":47884354,"title":"Show HN: SparseLab–real sparse training(CSR+custom kernel) in PyTorch, CPU-first","url":"https://news.ycombinator.com/from?site=github.com/darshanfofadiya","rank":-6.87719456208556,"score":1,"time":"2026-04-24T01:15:15Z"},{"id":47887321,"title":"TorchWebGPU: Running PyTorch Natively on WebGPU","url":"https://github.com/jmaczan/torch-webgpu","rank":-8.701773124615425,"score":2,"time":"2026-04-24T08:26:57Z"},{"id":47889717,"title":"Proximal Policy Optimization with Clojure and PyTorch","url":"https://www.wedesoft.de/ai/2026/04/22/proximal-policy-optimization/","rank":-8.333290894816093,"score":1,"time":"2026-04-24T13:10:13Z"},{"id":47895619,"title":"spmd_types: A type system for distributed (SPMD) tensor computations in PyTorch","url":"https://github.com/meta-pytorch/spmd_types","rank":-6.87719456208556,"score":2,"time":"2026-04-24T20:50:57Z"},{"id":47963687,"title":"PyTorch Lightning project quarantined by PyPI","url":"https://pypi.org/project/lightning/","rank":-8.701773124615425,"score":6,"time":"2026-04-30T15:09:02Z"},{"id":47964617,"title":"Shai-Hulud Themed Malware Found in the PyTorch Lightning AI Training Library","url":"https://semgrep.dev/blog/2026/malicious-dependency-in-pytorch-lightning-used-for-ai-training/","rank":-6.87719456208556,"score":465,"time":"2026-04-30T16:09:26Z"},{"id":48026871,"title":"AutoSP from PyTorch","url":"https://pytorch.org/blog/introducing-autosp/","rank":-10.032646621485735,"score":1,"time":"2026-05-05T18:55:07Z"},{"id":48034611,"title":"Hackable PyTorch RL Library with Distributional Algorithms (D4PG, DSAC, DPPO)","url":"https://github.com/e3ntity/e3rl","rank":-7.393981997272879,"score":2,"time":"2026-05-06T10:31:27Z"}]}