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__gitter-lab__metl-pub.json237 linesDownload Raw Back to a0
1{2 "format": "oscr-script-manifest/1",3 "repository": "github.com/gitter-lab/metl-pub",4 "url": "https://github.com/gitter-lab/metl-pub",5 "host": "github.com",6 "commit": "c4770057a594271ecd6f3e906ecf7945b1d80eb4",7 "license": "MIT",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11  {12   "path": "LICENSE",13   "sha256": "79bf40c46dde139db7a09b4ea7ece764f2bf6dee28529fb54aff9a79fcd17ee8",14   "language": "License",15   "lines": 21,16   "truncated": false,17   "block": 17,18   "row": 768819  },20  {21   "path": "README.md",22   "sha256": "852d57ad9491845886fd1096c77d0d925e47da9f4bd659970bffcbbde89eb421",23   "language": "Text",24   "lines": 10,25   "truncated": false,26   "block": 18,27   "row": 1044328  },29  {30   "path": "data/eve/htcondor/run.sh",31   "sha256": "82f06002f067b493474a55c0c12928d4f52d75fd99849d404525958031ae3ab9",32   "language": "Shell",33   "lines": 57,34   "truncated": false,35   "block": 18,36   "row": 967737  },38  {39   "path": "data/eve/htcondor/run_inference.sh",40   "sha256": "e584c9413581bfb2d13de84d02dbd51e505dbd1104e2be34a040d1a8858fb517",41   "language": "Shell",42   "lines": 75,43   "truncated": false,44   "block": 18,45   "row": 986246  },47  {48   "path": "foldseek/cluster.py",49   "sha256": "d813c43daae8319e2661fce4e646770b1eee0166d74bf6689bba15ebe77acc6e",50   "language": "Python",51   "lines": 86,52   "truncated": false,53   "block": 17,54   "row": 2397655  },56  {57   "path": "gfp/notebooks/2023-10-20_METL_designs_graphs.ipynb",58   "sha256": "23271f9639697bb5b454a97d9ad153610a02ffc227b2d9d8cedc6f4ab4b50e31",59   "language": "Jupyter",60   "lines": 240,61   "truncated": false,62   "block": 17,63   "row": 611364  },65  {66   "path": "gfp/notebooks/2024_09-21_synthetic_baselines_graphs.ipynb",67   "sha256": "55f55033b72507a7b61977b628623f54d9e82560184ff783194182c3786737cb",68   "language": "Jupyter",69   "lines": 224,70   "truncated": false,71   "block": 17,72   "row": 605473  },74  {75   "path": "gfp/notebooks/metl_energies_analysis.ipynb",76   "sha256": "e2f4b1c6394a8a6e76a0b3a442ba54b3ac47d8157ae98098b3119cfa7a71d642",77   "language": "Jupyter",78   "lines": 295,79   "truncated": false,80   "block": 17,81   "row": 674782  },83  {84   "path": "sim-annealing/analysis/analysis.py",85   "sha256": "8a881bf509e73305b434af987b9cf852ba31cf2ade299cabfa555ed86f548739",86   "language": "Python",87   "lines": 671,88   "truncated": false,89   "block": 18,90   "row": 424391  },92  {93   "path": "sim-annealing/analysis/cluster.py",94   "sha256": "105d681faf8752d38cf1f44655e8c45b82556ee37c702f43f5a953f228570fe5",95   "language": "Python",96   "lines": 788,97   "truncated": false,98   "block": 18,99   "row": 4639100  },101  {102   "path": "sim-annealing/analysis/comparison_stats.py",103   "sha256": "236328fe710177f3ae70b3bf422fb3b7accab2fed9c87918142bdb008c4279c7",104   "language": "Python",105   "lines": 314,106   "truncated": false,107   "block": 18,108   "row": 743109  },110  {111   "path": "sim-annealing/analysis/distances.py",112   "sha256": "352fa2da3ba8cea3e404fc218c4e357a51303353b354321df80f331f45931a44",113   "language": "Python",114   "lines": 81,115   "truncated": false,116   "block": 17,117   "row": 25459118  },119  {120   "path": "sim-annealing/analysis/figure_plots.py",121   "sha256": "59908747bbf57e1578d10d85dcabbba78d1b38a0e916de16d720b0acbb46da1c",122   "language": "Python",123   "lines": 414,124   "truncated": false,125   "block": 18,126   "row": 2349127  },128  {129   "path": "sim-annealing/analysis/general_stats.py",130   "sha256": "b8cec95d5fab4ea9a92a41caf3b5f69b0a65f7240ca928f1efbb9cbaa817d67a",131   "language": "Python",132   "lines": 163,133   "truncated": false,134   "block": 17,135   "row": 29631136  },137  {138   "path": "sim-annealing/analysis/preprocessing_gfp_run.py",139   "sha256": "cf817dd2aa007a5b83084c744e721c3bb79acece4cd9836c7ee8b58e44d4b011",140   "language": "Python",141   "lines": 236,142   "truncated": false,143   "block": 17,144   "row": 32360145  },146  {147   "path": "sim-annealing/analysis/training_set.py",148   "sha256": "bb3434db58e71a85ed283d7939a242a3e5910ae8a7c3a12d27cb762bb66d6409",149   "language": "Python",150   "lines": 223,151   "truncated": false,152   "block": 17,153   "row": 32124154  },155  {156   "path": "sim-annealing/analysis/unit_tests.py",157   "sha256": "e9d3e74ef4f33d406ec0cf359fa3fc1e3affa38f076d34634771009b62a9cf48",158   "language": "Python",159   "lines": 133,160   "truncated": false,161   "block": 17,162   "row": 27332163  },164  {165   "path": "sim-annealing/htcondor/run.sh",166   "sha256": "2e270ca22e6de229b5ef2027d6bfc7545f7507762f96c6cf212f625512e15a3a",167   "language": "Shell",168   "lines": 34,169   "truncated": false,170   "block": 18,171   "row": 9135172  },173  {174   "path": "sim-annealing/htcondor/submit.py",175   "sha256": "af50636b85e6e1537c9f673f53f5d6fb45ef69e6fa3898d3771f147da1138b56",176   "language": "Python",177   "lines": 133,178   "truncated": false,179   "block": 17,180   "row": 26997181  },182  {183   "path": "sim-annealing/src/run.py",184   "sha256": "17b7d82bfc8797411d1b3b9bb11bdc4c059dd5805baec4ba6c87abfbad453a1b",185   "language": "Python",186   "lines": 209,187   "truncated": false,188   "block": 17,189   "row": 31984190  },191  {192   "path": "sim-annealing/src/sampler.py",193   "sha256": "6ddec79b837575f6ca89dbe206128883c83e5c9314107d2619b96d2f8a7596c5",194   "language": "Python",195   "lines": 224,196   "truncated": false,197   "block": 17,198   "row": 32522199  },200  {201   "path": "sim-annealing/src/seq2fitness.py",202   "sha256": "3af847f1ad1942d74559681e6c866c43d2b604321747b7dd92ec3e77859b573e",203   "language": "Python",204   "lines": 32,205   "truncated": false,206   "block": 17,207   "row": 20618208  },209  {210   "path": "sim-annealing/src/seq2fitness_3d.py",211   "sha256": "59ec29a2e87676b715f46a1f86ca0445cdc0318b3109736e2e249f27588a03f0",212   "language": "Python",213   "lines": 40,214   "truncated": false,215   "block": 17,216   "row": 21250217  },218  {219   "path": "sim-annealing/src/seq2fitness_example.py",220   "sha256": "65d5c5b929c7fb076b59fd8aba5ac21898e3ed1d866e7b3e7aa2e506c138a662",221   "language": "Python",222   "lines": 12,223   "truncated": false,224   "block": 17,225   "row": 18487226  },227  {228   "path": "sim-annealing/src/utils.py",229   "sha256": "a8167c19fe6e453c527dd54d0b3874c543abf8fe93b39940d1760646d79cc346",230   "language": "Python",231   "lines": 39,232   "truncated": false,233   "block": 17,234   "row": 20815235  }236 ]237}