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__biox-nku__scbond.json228 linesDownload Raw Back to ff
1{2 "format": "oscr-script-manifest/1",3 "repository": "github.com/biox-nku/scbond",4 "url": "https://github.com/BioX-NKU/scBOND",5 "host": "github.com",6 "commit": "22a21923897186ce3ca55e893a9693ae05583d1d",7 "license": "MIT",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11  {12   "path": "LICENSE",13   "sha256": "17647d15e09a4765abfd25aa7ccdc5c8bc491d57b487c7e3286d5ae50a9d7c0f",14   "language": "License",15   "lines": 21,16   "truncated": false,17   "block": 6,18   "row": 139419  },20  {21   "path": "README.md",22   "sha256": "ca2938309f9f1a3c61514cf39f031ebb2370701f2df64341e0f5acc634925fd0",23   "language": "Text",24   "lines": 165,25   "truncated": false,26   "block": 8,27   "row": 1086028  },29  {30   "path": "docs/source/Tutorial/RNA_DNAm_paired_basic/.ipynb_checkpoints/scBOND_usage-checkpoint.ipynb",31   "sha256": "43978b95e86eb9a6da7da49f7aa83d586ac65efe6cf6110885d7e39be65dd590",32   "language": "Jupyter",33   "lines": 137,34   "truncated": false,35   "block": 5,36   "row": 1675537  },38  {39   "path": "docs/source/Tutorial/RNA_DNAm_paired_basic/scBOND_usage.ipynb",40   "sha256": "43978b95e86eb9a6da7da49f7aa83d586ac65efe6cf6110885d7e39be65dd590",41   "language": "Jupyter",42   "lines": 137,43   "truncated": false,44   "block": 5,45   "row": 1675546  },47  {48   "path": "docs/source/Tutorial/RNA_DNAm_variants/.ipynb_checkpoints/scBOND_aug_usage-checkpoint.ipynb",49   "sha256": "185cc221af847e919cd4ca5dce38b7d126fc6b51fa273f2def3224867bd6714c",50   "language": "Jupyter",51   "lines": 112,52   "truncated": false,53   "block": 5,54   "row": 1656555  },56  {57   "path": "docs/source/Tutorial/RNA_DNAm_variants/.ipynb_checkpoints/scBOND_for_single_modality-checkpoint.ipynb",58   "sha256": "b64db49126677bb4d74419148cd49e5058a66b9405c51c64bf717bf0f0bda101",59   "language": "Jupyter",60   "lines": 123,61   "truncated": false,62   "block": 5,63   "row": 1668764  },65  {66   "path": "docs/source/Tutorial/RNA_DNAm_variants/scBOND_aug_usage.ipynb",67   "sha256": "185cc221af847e919cd4ca5dce38b7d126fc6b51fa273f2def3224867bd6714c",68   "language": "Jupyter",69   "lines": 112,70   "truncated": false,71   "block": 5,72   "row": 1656573  },74  {75   "path": "docs/source/Tutorial/RNA_DNAm_variants/scBOND_for_single_modality.ipynb",76   "sha256": "b64db49126677bb4d74419148cd49e5058a66b9405c51c64bf717bf0f0bda101",77   "language": "Jupyter",78   "lines": 123,79   "truncated": false,80   "block": 5,81   "row": 1668782  },83  {84   "path": "docs/source/conf.py",85   "sha256": "658ee7e031f8b42322842aaace73175d44b02ac657a23eedbf17b6a18e6ff510",86   "language": "Python",87   "lines": 95,88   "truncated": false,89   "block": 6,90   "row": 3644391  },92  {93   "path": "examples/scBOND_aug_usage.ipynb",94   "sha256": "185cc221af847e919cd4ca5dce38b7d126fc6b51fa273f2def3224867bd6714c",95   "language": "Jupyter",96   "lines": 112,97   "truncated": false,98   "block": 5,99   "row": 16565100  },101  {102   "path": "examples/scBOND_for_single_modality.ipynb",103   "sha256": "b64db49126677bb4d74419148cd49e5058a66b9405c51c64bf717bf0f0bda101",104   "language": "Jupyter",105   "lines": 123,106   "truncated": false,107   "block": 5,108   "row": 16687109  },110  {111   "path": "examples/scBOND_usage.ipynb",112   "sha256": "43978b95e86eb9a6da7da49f7aa83d586ac65efe6cf6110885d7e39be65dd590",113   "language": "Jupyter",114   "lines": 137,115   "truncated": false,116   "block": 5,117   "row": 16755118  },119  {120   "path": "scBond/__init__.py",121   "sha256": "650f2b5496aa21d9624b19bc4eea93ba89085f9b05246265f5e084490fc01a21",122   "language": "Python",123   "lines": 6,124   "truncated": false,125   "block": 6,126   "row": 20993127  },128  {129   "path": "scBond/bond.py",130   "sha256": "ba981bd9dc4fe0267805f62fcf3a665c71274d6345788916db2ace373f2ad341",131   "language": "Python",132   "lines": 786,133   "truncated": false,134   "block": 7,135   "row": 10243136  },137  {138   "path": "scBond/calculate_cluster.py",139   "sha256": "2eb13d12048c76f949d222137c9fb531a7f75e5967edfa2badf376471f38083d",140   "language": "Python",141   "lines": 42,142   "truncated": false,143   "block": 6,144   "row": 29064145  },146  {147   "path": "scBond/data_processing.py",148   "sha256": "9e01ff06de25fa656c2f2efa5a49b4854ad0f83ec0f4204fa6161102725f2ff7",149   "language": "Python",150   "lines": 297,151   "truncated": false,152   "block": 7,153   "row": 3816154  },155  {156   "path": "scBond/draw_cluster.py",157   "sha256": "861965f590a27061c4f02a0e4c135f64ea6306a0e5a22f9bd85d070abfd625a3",158   "language": "Python",159   "lines": 132,160   "truncated": false,161   "block": 6,162   "row": 38794163  },164  {165   "path": "scBond/logger.py",166   "sha256": "7711d52290e8a96f2f96434270095dc1d30161f086351670026fc9dce51ccb26",167   "language": "Python",168   "lines": 50,169   "truncated": false,170   "block": 6,171   "row": 27361172  },173  {174   "path": "scBond/model_component.py",175   "sha256": "7183197677929041df751d4c84ed249d9494ca26809c310e08f0d5a2604f18ca",176   "language": "Python",177   "lines": 830,178   "truncated": false,179   "block": 7,180   "row": 10853181  },182  {183   "path": "scBond/model_utlis.py",184   "sha256": "c3a404b217d077b0cb82f864083df9c2cf1cdd80aa07bc8d2b06623fa62152f9",185   "language": "Python",186   "lines": 350,187   "truncated": false,188   "block": 7,189   "row": 2264190  },191  {192   "path": "scBond/split_datasets.py",193   "sha256": "ae2d88fa9b997f3234480de128f5b9c8e1bb5d92d907868e10a9ae0bc0e0e00b",194   "language": "Python",195   "lines": 107,196   "truncated": false,197   "block": 6,198   "row": 34886199  },200  {201   "path": "scBond/train_model.py",202   "sha256": "4b962111e968f966b4baf25ba5957fd498bdfc86134f67f0638fbea34baa33bc",203   "language": "Python",204   "lines": 1230,205   "truncated": false,206   "block": 8,207   "row": 467208  },209  {210   "path": "scBond/version.py",211   "sha256": "90ce79aaa852adce1bf92b4d4ee374dd2ae0d24c1f8351b805c9022a1532b5a1",212   "language": "Python",213   "lines": 1,214   "truncated": false,215   "block": 1,216   "row": 4964217  },218  {219   "path": "setup.py",220   "sha256": "df6aea1de9f4df7789c5f02c96e77646da8d87c3e2f4c50d78ddbb843f3acea2",221   "language": "Python",222   "lines": 43,223   "truncated": false,224   "block": 6,225   "row": 30725226  }227 ]228}