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

rootmanifestsbagithub.com__shuangaaa__dynatof_code.json

github.com__shuangaaa__dynatof_code.json282 linesDownload Raw Back to ba

1{2 "format": "oscr-script-manifest/1",3 "repository": "github.com/shuangaaa/dynatof_code",4 "url": "https://github.com/shuangaaa/dynatof_code",5 "host": "github.com",6 "commit": "e9e2c7a61cb553e8fccd9a062c7a6f70050539bb",7 "license": "MIT",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11  {12   "path": "LICENSE",13   "sha256": "1126322e2cc8d165adc4c792eeb195717de2bcc7b39be1ce77959d78e87ef685",14   "language": "License",15   "lines": 21,16   "truncated": false,17   "block": 6,18   "row": 132719  },20  {21   "path": "README.md",22   "sha256": "452e199a991512f909ba94335401bcb1c8b1ec71dff3b3f1cb530283792b5175",23   "language": "Text",24   "lines": 107,25   "truncated": false,26   "block": 8,27   "row": 1009728  },29  {30   "path": "dynatof/__init__.py",31   "sha256": "13852ea6eafc903713caceacc3eebe0bb6261efab096ad9e25bf77831a442268",32   "language": "Python",33   "lines": 5,34   "truncated": false,35   "block": 6,36   "row": 2045237  },38  {39   "path": "dynatof/config.py",40   "sha256": "fa3d1cae1af2b3b2c9978e3272ca741359834516cff7ff9d1298655661140c0e",41   "language": "Python",42   "lines": 15,43   "truncated": false,44   "block": 6,45   "row": 2215346  },47  {48   "path": "dynatof/constants.py",49   "sha256": "a0340fe7a6f11d057a9398321cf739182c6645486bb238a9152ff8f508a21d82",50   "language": "Python",51   "lines": 10,52   "truncated": false,53   "block": 6,54   "row": 2189855  },56  {57   "path": "dynatof/datasets/common.py",58   "sha256": "322d315ad357889ffce811603a40b3fe17c10a91c364878b80a82ccf03ed8d08",59   "language": "Python",60   "lines": 54,61   "truncated": false,62   "block": 6,63   "row": 3028964  },65  {66   "path": "dynatof/datasets/diagnosis_dataset.py",67   "sha256": "74db37eeec9b7b784f5fa8d4b513302e9714de4e4b43505ebc6d2044fc06850f",68   "language": "Python",69   "lines": 62,70   "truncated": false,71   "block": 6,72   "row": 3171073  },74  {75   "path": "dynatof/datasets/keypoint_dataset.py",76   "sha256": "369ffab7212db4f2cb13aa8bd39eaedd331e0f2fde9e29e5cff6ac0cf733b73b",77   "language": "Python",78   "lines": 98,79   "truncated": false,80   "block": 6,81   "row": 3739582  },83  {84   "path": "dynatof/datasets/postop_dataset.py",85   "sha256": "9bed1a07399a3a4aa4314b68944b8999fd1f2e2086f9cd072492762e58ca3c41",86   "language": "Python",87   "lines": 70,88   "truncated": false,89   "block": 6,90   "row": 3299291  },92  {93   "path": "dynatof/datasets/view_dataset.py",94   "sha256": "7bc33c0be08540833c69db80c4a0dcf02d58f75e8bfde977d1a0a7d8c381deb2",95   "language": "Python",96   "lines": 37,97   "truncated": false,98   "block": 6,99   "row": 27327100  },101  {102   "path": "dynatof/losses.py",103   "sha256": "a8d7901fd7afca15a7ad06cb3a8c6d6d90e58a058ed5a117c1e74de821f61e89",104   "language": "Python",105   "lines": 114,106   "truncated": false,107   "block": 6,108   "row": 38772109  },110  {111   "path": "dynatof/models/backbones.py",112   "sha256": "92c8ee95d794b5f339cf78454e3cecf82b286b4a2dd88cb6d89627a40c5af306",113   "language": "Python",114   "lines": 72,115   "truncated": false,116   "block": 6,117   "row": 34952118  },119  {120   "path": "dynatof/models/diagnosis.py",121   "sha256": "29d97aa17c5ec8002f16c37792ab483b6e14837c75f310d2ef71e5f64efa5643",122   "language": "Python",123   "lines": 118,124   "truncated": false,125   "block": 6,126   "row": 39163127  },128  {129   "path": "dynatof/models/graph_regressor.py",130   "sha256": "cd7e6ef65d2963f0c9ec26106aec1bdf7335735be43ed41a442c70178564c253",131   "language": "Python",132   "lines": 105,133   "truncated": false,134   "block": 6,135   "row": 38577136  },137  {138   "path": "dynatof/models/hrnet_like.py",139   "sha256": "9aa38d717ff67b7cb5526db356742585b4ee45f2af2df0d4ce71da07fc3fc683",140   "language": "Python",141   "lines": 104,142   "truncated": false,143   "block": 6,144   "row": 38248145  },146  {147   "path": "dynatof/models/keypoint.py",148   "sha256": "34a23cda8aa430164879289cfba360098518ff4fb9fadc93b987d964d87d447b",149   "language": "Python",150   "lines": 50,151   "truncated": false,152   "block": 6,153   "row": 30452154  },155  {156   "path": "dynatof/models/risk.py",157   "sha256": "9a970b8d39b2d71561e7de21833aeab25aa6562e575f4d2c7637ae47cfe2c02f",158   "language": "Python",159   "lines": 88,160   "truncated": false,161   "block": 6,162   "row": 35917163  },164  {165   "path": "dynatof/models/view_classifier.py",166   "sha256": "e662ca53bb106718de76f635a0e425503e1b232ae394880d0aa2315de3565a9e",167   "language": "Python",168   "lines": 15,169   "truncated": false,170   "block": 6,171   "row": 22524172  },173  {174   "path": "dynatof/trainers.py",175   "sha256": "fb49bd936bd9a071c1c9f698c5e619ff8cdff7fe5d2810209d7a1c91f4b4d01b",176   "language": "Python",177   "lines": 78,178   "truncated": false,179   "block": 6,180   "row": 32466181  },182  {183   "path": "dynatof/utils/io.py",184   "sha256": "93b3d2256f61ab6e94d225531d7bc88c643ccfa90b775a15c790b300ed2b93d7",185   "language": "Python",186   "lines": 46,187   "truncated": false,188   "block": 6,189   "row": 26042190  },191  {192   "path": "dynatof/utils/metrics.py",193   "sha256": "7fbed0031575bb4422f04aff904413435c96eae48440b8ffad03b878f2e81f03",194   "language": "Python",195   "lines": 64,196   "truncated": false,197   "block": 6,198   "row": 30916199  },200  {201   "path": "dynatof/utils/seed.py",202   "sha256": "f1abab014239bb0bd1a38a5c970bda9a5c7273c910425dbf3c53ab83a7c32b88",203   "language": "Python",204   "lines": 18,205   "truncated": false,206   "block": 6,207   "row": 22145208  },209  {210   "path": "dynatof/utils/video.py",211   "sha256": "64a33468f369b9bf37b90d3e21b08d55acf62bc62e8b2179fe3591eca2d3150c",212   "language": "Python",213   "lines": 78,214   "truncated": false,215   "block": 6,216   "row": 34519217  },218  {219   "path": "scripts/infer_pipeline.py",220   "sha256": "5b99054ad8737fb95337135df4781aa173e35ace052fb52efdc4b8a40703c4a9",221   "language": "Python",222   "lines": 244,223   "truncated": false,224   "block": 7,225   "row": 2548226  },227  {228   "path": "scripts/prepare_metadata.py",229   "sha256": "49defcccbec977e6faf486be1875fa7c88fc882ac88a53100665e62e9afbb218",230   "language": "Python",231   "lines": 116,232   "truncated": false,233   "block": 6,234   "row": 36710235  },236  {237   "path": "scripts/train_diagnosis.py",238   "sha256": "da7bc04c7c3e1a631137244ade15704fe879b94f19b548aae2cd75936311c577",239   "language": "Python",240   "lines": 163,241   "truncated": false,242   "block": 6,243   "row": 42647244  },245  {246   "path": "scripts/train_keypoint.py",247   "sha256": "ad146e1ca46c1d7c9355bd4509826e857b876aecc487086fdad87acae5adbaf6",248   "language": "Python",249   "lines": 132,250   "truncated": false,251   "block": 6,252   "row": 40306253  },254  {255   "path": "scripts/train_postop.py",256   "sha256": "0abca8c21ec4672f8138b146dd6fd94f512d0789bb229cc17f4df5f97aeda859",257   "language": "Python",258   "lines": 127,259   "truncated": false,260   "block": 6,261   "row": 39917262  },263  {264   "path": "scripts/train_risk.py",265   "sha256": "8f8fb2ce6d508171220857bd5a1583f8ac4528949ee3850e83b587f540bdbb5f",266   "language": "Python",267   "lines": 92,268   "truncated": false,269   "block": 6,270   "row": 35585271  },272  {273   "path": "scripts/train_view_classifier.py",274   "sha256": "72d2455e3aaec52035c7aa39e68ec3a6b38bbafaa41d33faf244a28bec61eff7",275   "language": "Python",276   "lines": 124,277   "truncated": false,278   "block": 6,279   "row": 38735280  }281 ]282}