Team Ai
Datasetpublic

OpenScientificCodeRegistry/Database

Open Scientific Code Registry (OSCR): the authors' scripts The code published by the authors of open-access neuroscience papers, as found and verified by Open Scientific Code Registry (OSCR). Each file is here exactly as it is at the source, at the verified commit, under the license of its repository. 421,275 unique files (3,782 MB of text) from 8,849 repositories, in 24 Parquet block(s). Only files whose repository's license allows redistribution, confirmed by the repository's… See the full description on the dataset page: https://huggingface.co/datasets/OpenScientificCodeRegistry/Database.

sourceHugging Faceotherupdated 2d agoView on Hugging Face
0likes5.6kdownloads
github.com__icejm1020__gaitinsight.json417 linesDownload Raw Back to 72
1{2 "format": "oscr-script-manifest/1",3 "repository": "github.com/icejm1020/gaitinsight",4 "url": "https://github.com/ICEJM1020/GaitInsight",5 "host": "github.com",6 "commit": "34f12e18e4011ad9732f6bcdca83629373bb44a3",7 "license": "MIT",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11  {12   "path": "LICENSE",13   "sha256": "5965b747d1302836f7c8d08651dc22717938c60c8ebc2ca2b06bcdc1d4711697",14   "language": "License",15   "lines": 21,16   "truncated": false,17   "block": 22,18   "row": 1392319  },20  {21   "path": "Processor/Processor.py",22   "sha256": "61dfe4b518cb599f983b920a6e6a9681a2a1f02b9f84f1fb4f5072e5ee670a2b",23   "language": "Python",24   "lines": 359,25   "truncated": false,26   "block": 23,27   "row": 1211428  },29  {30   "path": "Processor/__init__.py",31   "sha256": "724597cc314e0d858e7bc0238147f581d86b39c982f27a4b3a10030cabf8503a",32   "language": "Python",33   "lines": 1,34   "truncated": false,35   "block": 22,36   "row": 2540937  },38  {39   "path": "Processor/tr_Processor.py",40   "sha256": "5ea8a6caaac5ec616cf1ab9727019c7ea488cede438c04dd18a6ecc77cd31585",41   "language": "Python",42   "lines": 367,43   "truncated": false,44   "block": 23,45   "row": 1219946  },47  {48   "path": "README.md",49   "sha256": "a22690c2370da80e0a3d2dc7f18039b0b6943671b336ac329cb8f791260f6b84",50   "language": "Text",51   "lines": 2,52   "truncated": false,53   "block": 24,54   "row": 29555  },56  {57   "path": "STGCN/__init__.py",58   "sha256": "f2a6051e264a676ba087efb5650c63d519035a2d3e444082a21beb3625ab065d",59   "language": "Python",60   "lines": 1,61   "truncated": false,62   "block": 22,63   "row": 2541164  },65  {66   "path": "STGCN/feeder/__init__.py",67   "sha256": "68a4cfd0c93265bdf135ab4dafa655900bf2da9c5e0affc79e0cc9827a458c6c",68   "language": "Python",69   "lines": 1,70   "truncated": false,71   "block": 22,72   "row": 2538673  },74  {75   "path": "STGCN/feeder/feeder.py",76   "sha256": "97d6d4e5bcdbb00b4b4146a934fbe87432f5f4b28736a5e395ee82d5a83a7e60",77   "language": "Python",78   "lines": 138,79   "truncated": false,80   "block": 23,81   "row": 551682  },83  {84   "path": "STGCN/feeder/tools.py",85   "sha256": "1115cce3d4e547ff75f2992f4a6de3d08e644524e5a8fa894512ff65bcf6e339",86   "language": "Python",87   "lines": 281,88   "truncated": false,89   "block": 23,90   "row": 1022391  },92  {93   "path": "STGCN/graph/__init__.py",94   "sha256": "a93e6479e7d671d2b289ec155d9b20c0b4dd9983a5fb39dd96d00a53e8c18271",95   "language": "Python",96   "lines": 3,97   "truncated": false,98   "block": 22,99   "row": 25713100  },101  {102   "path": "STGCN/graph/azure.py",103   "sha256": "7dc2ed52f3abbb877cb63e553cd66cc2899abffefb39b1847b10caaa9925929a",104   "language": "Python",105   "lines": 103,106   "truncated": false,107   "block": 23,108   "row": 3663109  },110  {111   "path": "STGCN/graph/kinetics.py",112   "sha256": "e1209d9a7b59bf765ef3485feba872d04abcc473d4a2254a388f14e687011947",113   "language": "Python",114   "lines": 59,115   "truncated": false,116   "block": 23,117   "row": 137118  },119  {120   "path": "STGCN/graph/ntu_rgb_d.py",121   "sha256": "242e8e3f7066aaaa5348b2435aaaa26013ec58f9a6c223c0b4124beeaac53e15",122   "language": "Python",123   "lines": 73,124   "truncated": false,125   "block": 23,126   "row": 2627127  },128  {129   "path": "STGCN/graph/tools.py",130   "sha256": "b9c5745b71e3330fdc55373daf15fd2a3f6d681e4343661eba43cf5fbc6b02b5",131   "language": "Python",132   "lines": 90,133   "truncated": false,134   "block": 23,135   "row": 5043136  },137  {138   "path": "STGCN/net/__init__.py",139   "sha256": "7df52c53c4340433b11d783868fe2779852b4cf49f8fe7f09e2445cb1c87d8cb",140   "language": "Python",141   "lines": 2,142   "truncated": false,143   "block": 22,144   "row": 25536145  },146  {147   "path": "STGCN/net/net.py",148   "sha256": "29c48164f6278ca26187c3de41e405d144356534e0e0ad850194c544934af2e8",149   "language": "Python",150   "lines": 60,151   "truncated": false,152   "block": 23,153   "row": 1191154  },155  {156   "path": "STGCN/net/st_gcn.py",157   "sha256": "5f269b1b2e44e2d53b8d25abd0958d479f79944efd45b4b76e79df728506d852",158   "language": "Python",159   "lines": 215,160   "truncated": false,161   "block": 23,162   "row": 10351163  },164  {165   "path": "STGCN/net/tcn.py",166   "sha256": "624744f03ab378f7d7a2d6ebc3e71cebb97530d5150cf36cdfb094eb21405313",167   "language": "Python",168   "lines": 104,169   "truncated": false,170   "block": 23,171   "row": 3253172  },173  {174   "path": "STGCN/net/unit_gcn.py",175   "sha256": "44d3e0d8f6055aa7fae697da2c55b4e1e9e17394d429efdd1499534aa331818b",176   "language": "Python",177   "lines": 123,178   "truncated": false,179   "block": 23,180   "row": 8036181  },182  {183   "path": "ST_TR/__init__.py",184   "sha256": "f2a6051e264a676ba087efb5650c63d519035a2d3e444082a21beb3625ab065d",185   "language": "Python",186   "lines": 1,187   "truncated": false,188   "block": 22,189   "row": 25411190  },191  {192   "path": "ST_TR/feeder/__init__.py",193   "sha256": "4cb4d112fa99394d9c256961256ea1fd542d7c44cbdbc813dc81096674a4b392",194   "language": "Python",195   "lines": 2,196   "truncated": false,197   "block": 22,198   "row": 25556199  },200  {201   "path": "ST_TR/feeder/feeder.py",202   "sha256": "6d46ba47138b081dd84a820e43bf2c858fdddcaf5c2c646906260ef1684d55f0",203   "language": "Python",204   "lines": 200,205   "truncated": false,206   "block": 23,207   "row": 7782208  },209  {210   "path": "ST_TR/feeder/feeder_120.py",211   "sha256": "d4488dbceb856fe7735044f9cdf739a8368982781de47ba036b35fec516222da",212   "language": "Python",213   "lines": 225,214   "truncated": false,215   "block": 23,216   "row": 8736217  },218  {219   "path": "ST_TR/feeder/feeder_kinetics.py",220   "sha256": "2d5bd02d47227173bac4058c7a3aeebf01b64aa5e5e2f83739c8e0bd714f2d11",221   "language": "Python",222   "lines": 227,223   "truncated": false,224   "block": 23,225   "row": 9402226  },227  {228   "path": "ST_TR/feeder/ntu_read_skeleton.py",229   "sha256": "f231261d18f23167daddda7d1e6a7f075b3cd6b6690a19b75e91dae887ca44cc",230   "language": "Python",231   "lines": 61,232   "truncated": false,233   "block": 23,234   "row": 2265235  },236  {237   "path": "ST_TR/feeder/tools.py",238   "sha256": "d4a087bc6bc45f16d3d1a7175f85800f3a831a6a10c91bb70f6b13d33525642e",239   "language": "Python",240   "lines": 277,241   "truncated": false,242   "block": 23,243   "row": 9980244  },245  {246   "path": "ST_TR/graph/__init__.py",247   "sha256": "6f8e2ca89d1872fc451034275b77b8df6a29b00852c98322eaa204da934bb5ce",248   "language": "Python",249   "lines": 3,250   "truncated": false,251   "block": 22,252   "row": 25711253  },254  {255   "path": "ST_TR/graph/azure.py",256   "sha256": "7dc2ed52f3abbb877cb63e553cd66cc2899abffefb39b1847b10caaa9925929a",257   "language": "Python",258   "lines": 103,259   "truncated": false,260   "block": 23,261   "row": 3663262  },263  {264   "path": "ST_TR/graph/kinetics.py",265   "sha256": "847638d2d491574bb2980596d9e38a8e4e15488129ea934bdfb1075b4440b337",266   "language": "Python",267   "lines": 86,268   "truncated": false,269   "block": 23,270   "row": 2816271  },272  {273   "path": "ST_TR/graph/ntu_rgb_d.py",274   "sha256": "e307499d25bca93d594e0c27ecb54b721bd9e5517bf9f3cfba705bb8b8561650",275   "language": "Python",276   "lines": 79,277   "truncated": false,278   "block": 23,279   "row": 2922280  },281  {282   "path": "ST_TR/graph/tools.py",283   "sha256": "c4a7463d7d60f02587b6240fc3b3e9c4f18611fd351c6907ae0de7496a96b256",284   "language": "Python",285   "lines": 71,286   "truncated": false,287   "block": 23,288   "row": 850289  },290  {291   "path": "ST_TR/net/__init__.py",292   "sha256": "e478ea2a35c5f100e4f1804481a5ec32550ed916cd3e5b29576d9370e66d93fc",293   "language": "Python",294   "lines": 1,295   "truncated": false,296   "block": 22,297   "row": 25433298  },299  {300   "path": "ST_TR/net/arg_types.py",301   "sha256": "fe35bb4c3967bf1eec671b287e9ac2914b1c2b5dc19ee5d6dc02a5cf031c2de9",302   "language": "Python",303   "lines": 47,304   "truncated": false,305   "block": 22,306   "row": 29150307  },308  {309   "path": "ST_TR/net/gcn_attention.py",310   "sha256": "b14ea30a1696d1cf7da8296d92b50f97d90d969b1258e1ba7b773882383d09b9",311   "language": "Python",312   "lines": 164,313   "truncated": false,314   "block": 23,315   "row": 8489316  },317  {318   "path": "ST_TR/net/net.py",319   "sha256": "70b594a8c183893565b3a8fc97b673c840c5b1ec9f37973ff21218bc456756d0",320   "language": "Python",321   "lines": 68,322   "truncated": false,323   "block": 23,324   "row": 734325  },326  {327   "path": "ST_TR/net/open_confusion.py",328   "sha256": "e9a03e245c6b09a65901cab48d71b844968bcd7dc05adfe8c2dde0c627ab9ebe",329   "language": "Python",330   "lines": 28,331   "truncated": false,332   "block": 22,333   "row": 28987334  },335  {336   "path": "ST_TR/net/spatial_transformer.py",337   "sha256": "531e342d56f93d7bfe1a49a176e63970f6d1b9f2c93766c058a33fe6222bc051",338   "language": "Python",339   "lines": 244,340   "truncated": false,341   "block": 23,342   "row": 10453343  },344  {345   "path": "ST_TR/net/st_gcn.py",346   "sha256": "c9b1183c02dbebe6f88db9e30cd60583e137ef2f1c06412567ba99e45e60f6cd",347   "language": "Python",348   "lines": 460,349   "truncated": false,350   "block": 23,351   "row": 12775352  },353  {354   "path": "ST_TR/net/temporal_transformer.py",355   "sha256": "2a4c4575179d8107e835de47d5601465b96fffdf293ca6f89baf63072091af2f",356   "language": "Python",357   "lines": 298,358   "truncated": false,359   "block": 23,360   "row": 10877361  },362  {363   "path": "ST_TR/net/temporal_transformer_windowed.py",364   "sha256": "bd8b3f4ff320d7186a6d22d3cc07d4f87795d744426520f42272ff9a3b587bd1",365   "language": "Python",366   "lines": 304,367   "truncated": false,368   "block": 23,369   "row": 10935370  },371  {372   "path": "ST_TR/net/unit_agcn.py",373   "sha256": "e01609f1ec48f5e91a9b4782fa243829c4c02c379d4c70acbd07c26f96c700b6",374   "language": "Python",375   "lines": 99,376   "truncated": false,377   "block": 23,378   "row": 3716379  },380  {381   "path": "ST_TR/net/unit_gcn.py",382   "sha256": "952a6d375886b5673c069334beb363ad94ef836954a2f3c00856dc499ce31a8c",383   "language": "Python",384   "lines": 98,385   "truncated": false,386   "block": 23,387   "row": 3122388  },389  {390   "path": "WeightsIllus.ipynb",391   "sha256": "0552cb9cf7f0078d6e7848669619b5356d21d8197229876770be2e4cf7267f75",392   "language": "Jupyter",393   "lines": 228,394   "truncated": false,395   "block": 22,396   "row": 13025397  },398  {399   "path": "config.py",400   "sha256": "f53df4f5505352e040c6d1b0c2b238f31b8aba239f63eb5c4c02b2689b3c2838",401   "language": "Python",402   "lines": 95,403   "truncated": false,404   "block": 23,405   "row": 4182406  },407  {408   "path": "main.py",409   "sha256": "7a92d5b10c12c99d602d41cb945b6f212fca1835057568c9aee2501634cc01f6",410   "language": "Python",411   "lines": 37,412   "truncated": false,413   "block": 22,414   "row": 29197415  }416 ]417}