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__bornelov-lab__camformer.json282 linesDownload Raw Back to 3e
1{2 "format": "oscr-script-manifest/1",3 "repository": "github.com/bornelov-lab/camformer",4 "url": "https://github.com/Bornelov-lab/Camformer",5 "host": "github.com",6 "commit": "ae85c90f9225b5984d79bdfdc7750298e01e28b9",7 "license": "MIT",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11  {12   "path": "LICENSE",13   "sha256": "c05b1d350678b8db465be5c6156cc5f0e2c286a2d4670ce9aa0a139c3574fd9b",14   "language": "License",15   "lines": 21,16   "truncated": false,17   "block": 22,18   "row": 1399119  },20  {21   "path": "README.md",22   "sha256": "bc829d168866e8f934ba4b38a57f3da6e98cabf0ea912731d77e089dbda202c9",23   "language": "Text",24   "lines": 70,25   "truncated": false,26   "block": 24,27   "row": 68128  },29  {30   "path": "base/.ipynb_checkpoints/eval_utils-checkpoint.py",31   "sha256": "e46a2af930e20d39a0e18cc3194c45bbd058d09d5815be3596a8385754e8ca94",32   "language": "Python",33   "lines": 308,34   "truncated": false,35   "block": 23,36   "row": 1170837  },38  {39   "path": "base/.ipynb_checkpoints/model_utils-checkpoint.py",40   "sha256": "74585a034cda2eea598668c30f3353cc6d026dfb02064e7433c43c0106be702e",41   "language": "Python",42   "lines": 402,43   "truncated": false,44   "block": 23,45   "row": 1197946  },47  {48   "path": "base/.ipynb_checkpoints/plot_utils-checkpoint.py",49   "sha256": "07fe19e2044b9b808f0c69dfd709a94b2413ef066724161a7438c1bf5840b1fb",50   "language": "Python",51   "lines": 909,52   "truncated": false,53   "block": 23,54   "row": 1447855  },56  {57   "path": "base/.ipynb_checkpoints/run_utils-checkpoint.py",58   "sha256": "a93ae150d0278df3a81e01cd599896fb17383c787085a420f6627f13c8e2c3e2",59   "language": "Python",60   "lines": 84,61   "truncated": false,62   "block": 23,63   "row": 201564  },65  {66   "path": "base/.ipynb_checkpoints/utils-checkpoint.py",67   "sha256": "63aa201b8edeacb240fbe13c1155d4be7d4a388200a92591eecba2d5536a4dd3",68   "language": "Python",69   "lines": 977,70   "truncated": false,71   "block": 23,72   "row": 1459973  },74  {75   "path": "base/emb_utils.py",76   "sha256": "202c3ae44df0aae0c89b45cac2b350c18123dd725e55c2f0bd92752a54685a1a",77   "language": "Python",78   "lines": 100,79   "truncated": false,80   "block": 23,81   "row": 426882  },83  {84   "path": "base/eval_utils.py",85   "sha256": "e46a2af930e20d39a0e18cc3194c45bbd058d09d5815be3596a8385754e8ca94",86   "language": "Python",87   "lines": 308,88   "truncated": false,89   "block": 23,90   "row": 1170891  },92  {93   "path": "base/gradcam_utils.py",94   "sha256": "2422d460bd93bb224b96fb67406d5388f39ba805fbe5d916ec0b8fd304aa5ec7",95   "language": "Python",96   "lines": 267,97   "truncated": false,98   "block": 23,99   "row": 10076100  },101  {102   "path": "base/ism_utils.py",103   "sha256": "f9430b59e5b4984e42d2f0512a159f7c3ce65c9979994bf1c81d87a54de2d7e0",104   "language": "Python",105   "lines": 190,106   "truncated": false,107   "block": 23,108   "row": 8930109  },110  {111   "path": "base/model.py",112   "sha256": "8f2dc62777e46f7e42fe544782faabee8efbecbe88bc458a16b6b41402ca808e",113   "language": "Python",114   "lines": 218,115   "truncated": false,116   "block": 23,117   "row": 9065118  },119  {120   "path": "base/model_basic.py",121   "sha256": "bad28ac6265b890e48391b82b62edfa21befb8c4714ba7b8ea7ac5c5e20aba1e",122   "language": "Python",123   "lines": 92,124   "truncated": false,125   "block": 23,126   "row": 4739127  },128  {129   "path": "base/model_utils.py",130   "sha256": "74585a034cda2eea598668c30f3353cc6d026dfb02064e7433c43c0106be702e",131   "language": "Python",132   "lines": 402,133   "truncated": false,134   "block": 23,135   "row": 11979136  },137  {138   "path": "base/plot_utils.py",139   "sha256": "07fe19e2044b9b808f0c69dfd709a94b2413ef066724161a7438c1bf5840b1fb",140   "language": "Python",141   "lines": 909,142   "truncated": false,143   "block": 23,144   "row": 14478145  },146  {147   "path": "base/results_utils.py",148   "sha256": "c56881dd1680b0a5181c904aba062975dd7c0bd390174febd8ae176a8941e1fb",149   "language": "Python",150   "lines": 61,151   "truncated": false,152   "block": 23,153   "row": 3197154  },155  {156   "path": "base/run_utils.py",157   "sha256": "a93ae150d0278df3a81e01cd599896fb17383c787085a420f6627f13c8e2c3e2",158   "language": "Python",159   "lines": 84,160   "truncated": false,161   "block": 23,162   "row": 2015163  },164  {165   "path": "base/seq_utils.py",166   "sha256": "c2456be595f948f9cb8324a2d7bc298aa2d8908835e015115db2f21c2de115a9",167   "language": "Python",168   "lines": 57,169   "truncated": false,170   "block": 23,171   "row": 657172  },173  {174   "path": "base/utils.py",175   "sha256": "08283edaf6779af858e8e9f0363ec5f8de63888eb29782d5a3bd6c19c20c4ab1",176   "language": "Python",177   "lines": 977,178   "truncated": false,179   "block": 23,180   "row": 14600181  },182  {183   "path": "gen_figs.ipynb",184   "sha256": "882423a48a378b68c0acf3d5c455f5d7e66cb83d1b83370325832ac2c7764bd5",185   "language": "Jupyter",186   "lines": 419,187   "truncated": false,188   "block": 22,189   "row": 13536190  },191  {192   "path": "manuscript_figures/Figure_1/Figure1b_histogram.R",193   "sha256": "e55c4cf86f185821d0ca3e3dbddd36d717ee53be7d333c17c063da48ea4da725",194   "language": "R",195   "lines": 18,196   "truncated": false,197   "block": 23,198   "row": 15534199  },200  {201   "path": "manuscript_figures/Figure_3_S3/Figure_3a_S3a.R",202   "sha256": "ab5ca5fc9ab95741b191ec358e3f70c3d3528ba83205fdda2a27da7cf35994b6",203   "language": "R",204   "lines": 126,205   "truncated": false,206   "block": 23,207   "row": 16118208  },209  {210   "path": "manuscript_figures/Figure_4_S5_S6/Figure_S5_S6.R",211   "sha256": "00a34f584cb38eb5dcfe2ef64f02fb5e7c4b6e53b2bcd5ca4533f29a55c4d6c5",212   "language": "R",213   "lines": 130,214   "truncated": false,215   "block": 23,216   "row": 16170217  },218  {219   "path": "manuscript_figures/Figure_5/Figure5_scatter.R",220   "sha256": "8055d119259684177c11c0a41498f38c74ca742517a2458c78b2a2977e34dc57",221   "language": "R",222   "lines": 36,223   "truncated": false,224   "block": 23,225   "row": 15603226  },227  {228   "path": "manuscript_figures/Figure_8/Figure8bc.R",229   "sha256": "e90ae7838b7393c0bf82231a06543304d4b9ca736f3aeb63db35683b66ea2431",230   "language": "R",231   "lines": 58,232   "truncated": false,233   "block": 23,234   "row": 15940235  },236  {237   "path": "manuscript_figures/Figure_S12/scatter.R",238   "sha256": "3cef0f6ad68699622e5a7fcfd36092e4de85cafd8bcdfc2ed163c375b2cc31eb",239   "language": "R",240   "lines": 30,241   "truncated": false,242   "block": 23,243   "row": 15577244  },245  {246   "path": "manuscript_figures/Figure_S4/Figure_S4.R",247   "sha256": "d9b2ab75f97381098fe4ec53b62ca516fa5eaa9a6109440014332ddd538846e2",248   "language": "R",249   "lines": 156,250   "truncated": false,251   "block": 23,252   "row": 16255253  },254  {255   "path": "saved_models/demo_test.py",256   "sha256": "a814f4b31442de3f669ca9ed0702853bbb0843ce66011703fbe85614994e3f3e",257   "language": "Python",258   "lines": 48,259   "truncated": false,260   "block": 23,261   "row": 825262  },263  {264   "path": "score_rep.py",265   "sha256": "3f067d322cbeb234c3143c14ce760dc053fe1caeb50fc1c4047355a079be1655",266   "language": "Python",267   "lines": 91,268   "truncated": false,269   "block": 23,270   "row": 5090271  },272  {273   "path": "train_rep.py",274   "sha256": "96e6936c4b441a1dda247cda238ad1b585b329bd7de47f68f0cdcb0bf9d45195",275   "language": "Python",276   "lines": 106,277   "truncated": false,278   "block": 23,279   "row": 5788280  }281 ]282}