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.
05.6k
1{2 "format": "oscr-script-manifest/1",3 "repository": "github.com/sbozkan/gnn",4 "url": "https://github.com/SBOZKAN/GNN",5 "host": "github.com",6 "commit": "4dfa9089ff2c512ca298313e9c892dfcfd10840f",7 "license": "AGPL-3.0",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11 {12 "path": "LICENSE",13 "sha256": "fec36cb3fe7e58d7ccefa1004c153fd63e08c7db81b7bf3e0d979b65c739ac14",14 "language": "License",15 "lines": 661,16 "truncated": false,17 "block": 17,18 "row": 804619 },20 {21 "path": "README.md",22 "sha256": "7abf434b6147b1a5cd7c8be5b080fa09a1873631049401f9f01e29c275a56292",23 "language": "Text",24 "lines": 16,25 "truncated": false,26 "block": 18,27 "row": 1048328 },29 {30 "path": "backend/Jin_PyTorchTrainer.py",31 "sha256": "01611d28fab87135d42a81eeba4de65764d98bd0448efa2de184d6938bd8fd9b",32 "language": "Python",33 "lines": 538,34 "truncated": false,35 "block": 18,36 "row": 342637 },38 {39 "path": "data/beta_all/DCI/circle.sh",40 "sha256": "e94f2618717e73aa06f5d72361ecd4a1f293b0aa4b059c8c301ffde0971f38ec",41 "language": "Shell",42 "lines": 11,43 "truncated": false,44 "block": 18,45 "row": 867046 },47 {48 "path": "data/beta_all/DCI/submit.sh",49 "sha256": "cefa22c48347dc8df96562ec814f1dd58d80f96d77f14ce2b2fb6c35709c08d5",50 "language": "Shell",51 "lines": 18,52 "truncated": false,53 "block": 18,54 "row": 940555 },56 {57 "path": "data/gb1_new/DCI/circle.sh",58 "sha256": "f6c27a9721c953d4a2d9d78cd82d12472d9c77b620c26fe3f0c3eb3671b9327f",59 "language": "Shell",60 "lines": 11,61 "truncated": false,62 "block": 18,63 "row": 866864 },65 {66 "path": "data/gb1_new/DCI/submit.sh",67 "sha256": "81949d9353ce98cfd73f6fe316558c7b5477934d6d16e09330e0fe2b6d4c9565",68 "language": "Shell",69 "lines": 21,70 "truncated": false,71 "block": 18,72 "row": 914673 },74 {75 "path": "encode/encode.py",76 "sha256": "105433e5784e695ddaa2e8a567a39485d07bd07cd4046f1b584473fbe66575fc",77 "language": "Python",78 "lines": 244,79 "truncated": false,80 "block": 17,81 "row": 3211282 },83 {84 "path": "endpoints/CNNGCN_5fold.py",85 "sha256": "58a66a94e9eb0bdb839bf0b4b478ccccac239725aca8418221da6cfd847ce008",86 "language": "Python",87 "lines": 262,88 "truncated": false,89 "block": 18,90 "row": 70391 },92 {93 "path": "endpoints/CNN_5fold.py",94 "sha256": "2d5b24d4168298c7bf3d99ccd6e61cb9238a2b15501d738a4f8c882a48aac188",95 "language": "Python",96 "lines": 213,97 "truncated": false,98 "block": 17,99 "row": 31881100 },101 {102 "path": "endpoints/GCN_5fold.py",103 "sha256": "4679f8d0902aca03694545460cc1d43e08bc7266eaa0b0a2db20945cf292d60e",104 "language": "Python",105 "lines": 256,106 "truncated": false,107 "block": 18,108 "row": 463109 },110 {111 "path": "endpoints/MLP_5fold.py",112 "sha256": "ab15e770dcdd48b181f93bdcd16fca6d0e3bf7be201a49f0e38cea62b2ac1b35",113 "language": "Python",114 "lines": 202,115 "truncated": false,116 "block": 17,117 "row": 31642118 },119 {120 "path": "model/CNN.py",121 "sha256": "f396875aa92f0de53498c8f30bba8126c2530e35e396257141b1d6b0f7d47ac6",122 "language": "Python",123 "lines": 291,124 "truncated": false,125 "block": 17,126 "row": 32540127 },128 {129 "path": "model/CNNGCN.py",130 "sha256": "4ed26d80897dda4d57268bde45ef8b6d760b782a4afd43277da58c042969493c",131 "language": "Python",132 "lines": 216,133 "truncated": false,134 "block": 17,135 "row": 30862136 },137 {138 "path": "model/GNN.py",139 "sha256": "e44357497d95912bbd2ebce0351680b14ad3e31b8c8a53eed1e510e6cccb8751",140 "language": "Python",141 "lines": 290,142 "truncated": false,143 "block": 17,144 "row": 32379145 },146 {147 "path": "model/MLP.py",148 "sha256": "4ff859cb6a659be94286e4a5d2ddd5141fa2670957e3376f59d64152ae1e920a",149 "language": "Python",150 "lines": 201,151 "truncated": false,152 "block": 17,153 "row": 28895154 },155 {156 "path": "submit.sh",157 "sha256": "681ad0d608bf45e93ff38f7fbcf7ab1d4c1fe0a2cf52142edde3902953139ba5",158 "language": "Shell",159 "lines": 18,160 "truncated": false,161 "block": 18,162 "row": 9159163 },164 {165 "path": "utils/constants.py",166 "sha256": "795b45a92d382b3ca2887d48fe2618512c7dd62de8870a6e446bd3fc844ee507",167 "language": "Python",168 "lines": 58,169 "truncated": false,170 "block": 12,171 "row": 10600172 },173 {174 "path": "utils/custom_loss.py",175 "sha256": "e6b21c7e49208889052b6981723df95c61878e969019beacd3023de938d551ee",176 "language": "Python",177 "lines": 5,178 "truncated": false,179 "block": 17,180 "row": 17456181 },182 {183 "path": "utils/utils.py",184 "sha256": "6a6ea3735e0ab6e167712711985b1b3a00e670c6927576e098b73e51cafb0273",185 "language": "Python",186 "lines": 276,187 "truncated": false,188 "block": 18,189 "row": 320190 }191 ]192}