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

rootmanifests63github.com__paran-ia__adali.json

github.com__paran-ia__adali.json246 linesDownload Raw Back to 63

1{2 "format": "oscr-script-manifest/1",3 "repository": "github.com/paran-ia/adali",4 "url": "https://github.com/paran-ia/AdaLi",5 "host": "github.com",6 "commit": "b86e73b3a7d430acf00ae1482d988f23aae47069",7 "license": "MIT",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11  {12   "path": "LICENSE",13   "sha256": "707610726892f56822784922287f21c6c1810d58518795d1fc09c8a77bbb681f",14   "language": "License",15   "lines": 21,16   "truncated": false,17   "block": 10,18   "row": 600819  },20  {21   "path": "README.md",22   "sha256": "5e08eff54e8c3a6cc1b233672400d406f48b7612d069a4f0eb334bce330984c6",23   "language": "Text",24   "lines": 50,25   "truncated": false,26   "block": 10,27   "row": 1980028  },29  {30   "path": "config.py",31   "sha256": "f1d8a5872c6cce42a02eca2cfa12ccb3e63de4bd3e3ae2f74bd67dc7a5f579a9",32   "language": "Python",33   "lines": 8,34   "truncated": false,35   "block": 10,36   "row": 1000937  },38  {39   "path": "data_process/augmentation.py",40   "sha256": "202135456f6781f8bc2d8110a9401c488bb8305758920767e9e3eb6eac16646f",41   "language": "Python",42   "lines": 431,43   "truncated": false,44   "block": 10,45   "row": 1644346  },47  {48   "path": "data_process/cifar10_dvs.py",49   "sha256": "76419a58291952350cef73343754dbb2ef5180a224a52a9bfc001318f2a1d918",50   "language": "Python",51   "lines": 665,52   "truncated": false,53   "block": 10,54   "row": 1706055  },56  {57   "path": "models/dvsgesturenet.py",58   "sha256": "f327820cb9a5275645ce4cd839974a70f7fd606c8ddc7e12c0c292205de1ba69",59   "language": "Python",60   "lines": 45,61   "truncated": false,62   "block": 10,63   "row": 1117764  },65  {66   "path": "models/resnet.py",67   "sha256": "6c9526bbad55093900f85a6a40da666d25605e9b6f507fd8488bad2346989965",68   "language": "Python",69   "lines": 141,70   "truncated": false,71   "block": 10,72   "row": 1421073  },74  {75   "path": "models/resnet_cifar.py",76   "sha256": "ce5e96a99c50ab65e56aa359d9c3a7c97162f8ce9d3bc2b1fe3f22279b3b7cc0",77   "language": "Python",78   "lines": 189,79   "truncated": false,80   "block": 10,81   "row": 1493282  },83  {84   "path": "models/resnet_imagenet.py",85   "sha256": "a8aa5ecc77cdbc808e815150980f4ebf04848e819b305841e9a8fc741b542f6c",86   "language": "Python",87   "lines": 272,88   "truncated": false,89   "block": 10,90   "row": 1544291  },92  {93   "path": "models/vgg.py",94   "sha256": "189c43775f1e153c4f98ece403895b4f591334fd4f2f9027e21634295a81d5f1",95   "language": "Python",96   "lines": 114,97   "truncated": false,98   "block": 10,99   "row": 13572100  },101  {102   "path": "modules/neuron.py",103   "sha256": "a8d68ad965a6285461bf27a0b4f5297de9ac8293afa6ce665db1b806c1ae8f31",104   "language": "Python",105   "lines": 19,106   "truncated": false,107   "block": 10,108   "row": 10664109  },110  {111   "path": "modules/sgAdaLi.py",112   "sha256": "998f85e6fa4737258e5c8cb157a8f32bbb7faacc3997c8601b86ec68fabdc745",113   "language": "Python",114   "lines": 45,115   "truncated": false,116   "block": 10,117   "row": 11312118  },119  {120   "path": "modules/sgSigmoid.py",121   "sha256": "7bf07db23bc261ee9dcd5d836d73d3ad94c1b9956ad548a84c80cc801fbb8443",122   "language": "Python",123   "lines": 38,124   "truncated": false,125   "block": 10,126   "row": 10929127  },128  {129   "path": "modules/sgSoftSign.py",130   "sha256": "cf00f06b0b420561311721053ba3914c61acb7da75deafacb7e75f8dd6b82788",131   "language": "Python",132   "lines": 36,133   "truncated": false,134   "block": 10,135   "row": 10920136  },137  {138   "path": "modules/sgTriangle.py",139   "sha256": "979fa2a472af306ec9bd7f998fb9da8381ea083140ff632631eada924d6cf293",140   "language": "Python",141   "lines": 41,142   "truncated": false,143   "block": 10,144   "row": 11139145  },146  {147   "path": "myutils/build_data.py",148   "sha256": "d7ccb7936e2dcc513c6b74f5896bbe8bbadec9730ebf3e779cb12e3cde371997",149   "language": "Python",150   "lines": 111,151   "truncated": false,152   "block": 10,153   "row": 13710154  },155  {156   "path": "myutils/common.py",157   "sha256": "1cbb48aa12c45ac7d3c5a5fd788c9e015872ac7f843d775f24c40e32ac1fbf32",158   "language": "Python",159   "lines": 47,160   "truncated": false,161   "block": 10,162   "row": 11374163  },164  {165   "path": "myutils/handle_config.py",166   "sha256": "7d34f8f90329ab524e9f650694145077cc45436f3bafe5700e27a5702fafb602",167   "language": "Python",168   "lines": 46,169   "truncated": false,170   "block": 10,171   "row": 12328172  },173  {174   "path": "myutils/handle_tinyimagenet.py",175   "sha256": "5606399c2eb8518ba28744174206ef7c092272bdafa413ec4d51e09807c581ae",176   "language": "Python",177   "lines": 59,178   "truncated": false,179   "block": 10,180   "row": 11646181  },182  {183   "path": "myutils/transform/__init__.py",184   "sha256": "20b0813d91940651486d767c17e54714caea8dad48d41280b8898b11194e7561",185   "language": "Python",186   "lines": 6,187   "truncated": false,188   "block": 10,189   "row": 9827190  },191  {192   "path": "myutils/transform/autoaugment.py",193   "sha256": "e821e07d0ce10db73f955de4aba98c9fc08a36432a6a77cd83b4527b5089127d",194   "language": "Python",195   "lines": 309,196   "truncated": false,197   "block": 10,198   "row": 15584199  },200  {201   "path": "myutils/transform/dynamic_transform.py",202   "sha256": "13bc59ae96cf8d672777251a0ca06e744cef01e6ab78c047f8ac25213640bc9d",203   "language": "Python",204   "lines": 79,205   "truncated": false,206   "block": 10,207   "row": 12293208  },209  {210   "path": "myutils/transform/functional.py",211   "sha256": "ee5d5b26b9b1ec6410b9c2e6c32193690caa68cbf4e6418443628e977401474e",212   "language": "Python",213   "lines": 847,214   "truncated": false,215   "block": 10,216   "row": 17178217  },218  {219   "path": "myutils/transform/hybrid.py",220   "sha256": "a0b82d0c4cf4a16b17319ea8a1b139d8e46df2c5cbea59b771d435a2fa6435b1",221   "language": "Python",222   "lines": 67,223   "truncated": false,224   "block": 10,225   "row": 11875226  },227  {228   "path": "myutils/transform/transforms.py",229   "sha256": "062b28098fe2ffa30b075987c45a2fd5b121cddc9792a11addec469b1ed2f79e",230   "language": "Python",231   "lines": 1461,232   "truncated": false,233   "block": 10,234   "row": 17602235  },236  {237   "path": "train.py",238   "sha256": "847d7084a3d5679e2903c2957f69a68557c09de1b3898a996a8d4cfe70f170ae",239   "language": "Python",240   "lines": 270,241   "truncated": false,242   "block": 10,243   "row": 16146244  }245 ]246}