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

rootmanifestsd3github.com__debcr__debcr.json

github.com__debcr__debcr.json228 linesDownload Raw Back to d3

1{2 "format": "oscr-script-manifest/1",3 "repository": "github.com/debcr/debcr",4 "url": "https://github.com/DeBCR/DeBCR",5 "host": "github.com",6 "commit": "2cf67b67835979ca9a6ff0e2bb635a987a5756a7",7 "license": "MIT",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11  {12   "path": "LICENSE",13   "sha256": "724c9f883cdaae9523f44e7600f2b6e43cd02440ad49efa7a736128e73d70d36",14   "language": "License",15   "lines": 21,16   "truncated": false,17   "block": 11,18   "row": 1396919  },20  {21   "path": "README.md",22   "sha256": "f94ae510a8f1f7e485074c4037f404166a323a87fc4cc857cdbacff949081325",23   "language": "Text",24   "lines": 138,25   "truncated": false,26   "block": 13,27   "row": 681228  },29  {30   "path": "notebooks/debcr_predict.ipynb",31   "sha256": "8b5841b09fb830a40ceb742bf28df05c41f990efb2b3c846a368cd897bd5a778",32   "language": "Jupyter",33   "lines": 172,34   "truncated": false,35   "block": 11,36   "row": 1261137  },38  {39   "path": "notebooks/debcr_preproc.ipynb",40   "sha256": "4bb77e13fc83b0409422402aa93ef464531f9f1fa11247fd49b324aaedb18864",41   "language": "Jupyter",42   "lines": 104,43   "truncated": false,44   "block": 11,45   "row": 1243546  },47  {48   "path": "notebooks/debcr_train.ipynb",49   "sha256": "34fed39937a8713466fb761aac393f4f0b27852a83d3c2840b5b7c4af7819de3",50   "language": "Jupyter",51   "lines": 184,52   "truncated": false,53   "block": 11,54   "row": 1266055  },56  {57   "path": "src/debcr/__init__.py",58   "sha256": "da469fabbb56a0854fe4dc3bb5ce32061e679d29fa2c61de1ec3390aed5ec1e2",59   "language": "Python",60   "lines": 13,61   "truncated": false,62   "block": 12,63   "row": 355764  },65  {66   "path": "src/debcr/_core/config.py",67   "sha256": "e5036bb1a5f05d95793919a6be7229f6fff0e7ad00bc5d184742be9fc73f51ae",68   "language": "Python",69   "lines": 42,70   "truncated": false,71   "block": 12,72   "row": 631573  },74  {75   "path": "src/debcr/_core/data/__init__.py",76   "sha256": "c88e185650d6ba02c0445fc3a9703c08fb922a333d5e6165b10beab39772d1e0",77   "language": "Python",78   "lines": 10,79   "truncated": false,80   "block": 12,81   "row": 390982  },83  {84   "path": "src/debcr/_core/data/file_loaders.py",85   "sha256": "122217afebc848e3d5e1bbd583b53d9cf757e23427028c75005ca50c8b3675f3",86   "language": "Python",87   "lines": 59,88   "truncated": false,89   "block": 12,90   "row": 795991  },92  {93   "path": "src/debcr/_core/data/file_writers.py",94   "sha256": "2e1022bdb306ab8dc8150904678bb1fa215e075b3baeb18da10c9a0971c3d76b",95   "language": "Python",96   "lines": 70,97   "truncated": false,98   "block": 12,99   "row": 9606100  },101  {102   "path": "src/debcr/_core/data/process.py",103   "sha256": "09c7c5627dc58e5c58b4190a846cd8aa3bf6ab51d1d944d4228bf8c31dec964c",104   "language": "Python",105   "lines": 213,106   "truncated": false,107   "block": 12,108   "row": 16834109  },110  {111   "path": "src/debcr/_core/data/show.py",112   "sha256": "1e9828bd40cd4bb07f9a63b0813fc978c79a5f90fffb35ed2ff696c815979de2",113   "language": "Python",114   "lines": 67,115   "truncated": false,116   "block": 12,117   "row": 9487118  },119  {120   "path": "src/debcr/_core/model/__init__.py",121   "sha256": "2d56b1a44825c448989b2a7012d6072fcf89f102145a2247967661ab03f7b5c7",122   "language": "Python",123   "lines": 14,124   "truncated": false,125   "block": 12,126   "row": 3959127  },128  {129   "path": "src/debcr/_core/model/batchloader.py",130   "sha256": "a5d1c0074fad7665e20491f4ce9881b26154787169fd4a828922897ca7e516e0",131   "language": "Python",132   "lines": 57,133   "truncated": false,134   "block": 12,135   "row": 8086136  },137  {138   "path": "src/debcr/_core/model/loss.py",139   "sha256": "22f5c99babd23e302d2c37cd8acb0580a6981f475c3b3cc1d332b357f015dec6",140   "language": "Python",141   "lines": 28,142   "truncated": false,143   "block": 12,144   "row": 5427145  },146  {147   "path": "src/debcr/_core/model/m_rBCR.py",148   "sha256": "a8fae748cfce430bd4553162b4bfa61f9f9c77d050b39410f34d136883ba1347",149   "language": "Python",150   "lines": 248,151   "truncated": false,152   "block": 12,153   "row": 17683154  },155  {156   "path": "src/debcr/_core/model/metrics.py",157   "sha256": "26c13519ffbe41c875c3f2f5d3f41c5e3ccb22307bcddfc8dd7cac1ec092745b",158   "language": "Python",159   "lines": 58,160   "truncated": false,161   "block": 12,162   "row": 7755163  },164  {165   "path": "src/debcr/_core/model/predict.py",166   "sha256": "fbe28640002937a53badf8bdbaf3c0bcb5ce6cc41d25aa89a0f7f5e9994e5dec",167   "language": "Python",168   "lines": 16,169   "truncated": false,170   "block": 12,171   "row": 4527172  },173  {174   "path": "src/debcr/_core/model/train.py",175   "sha256": "70e354d420b4a7c321ca234615399d0cfc3a0174614b08b35751504647e47bba",176   "language": "Python",177   "lines": 81,178   "truncated": false,179   "block": 12,180   "row": 10538181  },182  {183   "path": "src/debcr/_core/model/utils.py",184   "sha256": "1d97e515ed073ca5ab21b85d67a7cdee591d1962524b648d1024f65f2e2dee3a",185   "language": "Python",186   "lines": 67,187   "truncated": false,188   "block": 12,189   "row": 8301190  },191  {192   "path": "src/debcr/_core/whole_img_tester.py",193   "sha256": "795505f32267577339fff9a0aa6e721d51f6ce2221762e9aa8af3797a2964efd",194   "language": "Python",195   "lines": 87,196   "truncated": false,197   "block": 12,198   "row": 11044199  },200  {201   "path": "src/debcr/config.py",202   "sha256": "d77bb23b71ff3ad9eee98fe7a6013b6daa2f737e3822f92492d05b795f481fc7",203   "language": "Python",204   "lines": 50,205   "truncated": false,206   "block": 12,207   "row": 6826208  },209  {210   "path": "src/debcr/data.py",211   "sha256": "0d03addfb44bad6c83508ed5bd5c7b4b11309e33e6538a22b30e535bae4d16bd",212   "language": "Python",213   "lines": 91,214   "truncated": false,215   "block": 12,216   "row": 9545217  },218  {219   "path": "src/debcr/model.py",220   "sha256": "baf787f4bc8f31ef23d1f692473f1dc89b7a07e079754062664fded60a47147d",221   "language": "Python",222   "lines": 102,223   "truncated": false,224   "block": 12,225   "row": 11660226  }227 ]228}