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/phgk/neurixai",4 "url": "https://github.com/PhGK/NeurixAI/",5 "host": "github.com",6 "commit": "681dd374172c0e5113af6583fca58a30d835b207",7 "license": "MIT",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11 {12 "path": ".ipynb_checkpoints/Predict_sanger-checkpoint.ipynb",13 "sha256": "93b590e1ffef9d136f517b0007ea6e01aac093604ea8998435289ea70300eded",14 "language": "Jupyter",15 "lines": 152,16 "truncated": false,17 "block": 17,18 "row": 577819 },20 {21 "path": ".ipynb_checkpoints/compare2linearregression_withsanger_based_on_DS-checkpoint.ipynb",22 "sha256": "c10bd5797a3e0a570d223a71068c00eb8491eb146c6eea9cf29eda94ed951fab",23 "language": "Jupyter",24 "lines": 186,25 "truncated": false,26 "block": 17,27 "row": 607228 },29 {30 "path": "LICENSE",31 "sha256": "7edd9c6d1cfbaf7c0ee0816700c692c42b86431868dc05ee6d2170334abc5ec9",32 "language": "License",33 "lines": 21,34 "truncated": false,35 "block": 17,36 "row": 757937 },38 {39 "path": "LRP.py",40 "sha256": "01ae74b6cc816b988a79e08d4c3ad73f4800e942aff96ad192dab5bc24025adb",41 "language": "Python",42 "lines": 226,43 "truncated": false,44 "block": 17,45 "row": 3222846 },47 {48 "path": "Main.py",49 "sha256": "aa6ace40e26474478b4bb3db4b7f7b186e689456838bdd68f85b2a3f390633b2",50 "language": "Python",51 "lines": 36,52 "truncated": false,53 "block": 17,54 "row": 1919355 },56 {57 "path": "NN.py",58 "sha256": "1adfe829974ea1676f597c6e0929b031bb72b2dd3d97c230f34608fa79ae983f",59 "language": "Python",60 "lines": 240,61 "truncated": false,62 "block": 17,63 "row": 3077264 },65 {66 "path": "Predict_sanger.ipynb",67 "sha256": "93b590e1ffef9d136f517b0007ea6e01aac093604ea8998435289ea70300eded",68 "language": "Jupyter",69 "lines": 152,70 "truncated": false,71 "block": 17,72 "row": 577873 },74 {75 "path": "README.md",76 "sha256": "f52a9391700935fad3a63bd9e482a2c4ae6e44b20aef3573599b45a1cb220639",77 "language": "Text",78 "lines": 3,79 "truncated": false,80 "block": 18,81 "row": 1041482 },83 {84 "path": "compare2linearregression_withsanger_based_on_DS.ipynb",85 "sha256": "c10bd5797a3e0a570d223a71068c00eb8491eb146c6eea9cf29eda94ed951fab",86 "language": "Jupyter",87 "lines": 186,88 "truncated": false,89 "block": 17,90 "row": 607291 },92 {93 "path": "crossant.py",94 "sha256": "9f8b44606cf781f5fdf3bc1ba28601ecccad3b7f40e77b2c5a278b5ef4625068",95 "language": "Python",96 "lines": 68,97 "truncated": false,98 "block": 17,99 "row": 23415100 },101 {102 "path": "data.py",103 "sha256": "644ec6696993c6401f5d11e297e05d489a7123424485768e6cf640ad08f9e3f7",104 "language": "Python",105 "lines": 177,106 "truncated": false,107 "block": 17,108 "row": 32159109 },110 {111 "path": "plots_statistics/.ipynb_checkpoints/Build_compund_embeddings-checkpoint.ipynb",112 "sha256": "94d42ef437d449144f3fec8e9e3c9adb665c4bf8e85f6db1c630c10b030cf42e",113 "language": "Jupyter",114 "lines": 133,115 "truncated": false,116 "block": 17,117 "row": 5749118 },119 {120 "path": "plots_statistics/.ipynb_checkpoints/build_rna_dataset-checkpoint.ipynb",121 "sha256": "355c544100379c83993f5919dd627ed98648b5203b7c172a03b817b89642368b",122 "language": "Jupyter",123 "lines": 54,124 "truncated": false,125 "block": 17,126 "row": 5471127 },128 {129 "path": "plots_statistics/.ipynb_checkpoints/build_targets-checkpoint.ipynb",130 "sha256": "0aabf89fa12930a679ba4adca2f357714846328b3ca2b0dc685bf57935ac253e",131 "language": "Jupyter",132 "lines": 53,133 "truncated": false,134 "block": 17,135 "row": 5509136 },137 {138 "path": "plots_statistics/.ipynb_checkpoints/compare2linearregression-checkpoint.ipynb",139 "sha256": "42fe2ba9475abafe923ea5500b841ac48c65cc0d19492cedca5cd2b112a46fcd",140 "language": "Jupyter",141 "lines": 136,142 "truncated": false,143 "block": 17,144 "row": 5871145 },146 {147 "path": "plots_statistics/.ipynb_checkpoints/compare2linearregression_withsanger-checkpoint.ipynb",148 "sha256": "c6756614396a777f182219822b0bc08180b909cf07b05fee6160a801ae57aa7a",149 "language": "Jupyter",150 "lines": 198,151 "truncated": false,152 "block": 17,153 "row": 6150154 },155 {156 "path": "plots_statistics/.ipynb_checkpoints/compare2linearregression_withsanger_based_on_DS-checkpoint.ipynb",157 "sha256": "b9608c544eeba8606d3ea4ab210904eaadbdb3b6a75bb76b9cf79c4f60c1bd51",158 "language": "Jupyter",159 "lines": 204,160 "truncated": false,161 "block": 17,162 "row": 6164163 },164 {165 "path": "plots_statistics/.ipynb_checkpoints/smiles2vec-checkpoint.ipynb",166 "sha256": "62ec47635835498fda0f6f48b450ded754d4eeac9e47b69a1cd8d86930bdac4d",167 "language": "Jupyter",168 "lines": 145,169 "truncated": false,170 "block": 17,171 "row": 5847172 },173 {174 "path": "plots_statistics/Build_compund_embeddings.ipynb",175 "sha256": "94d42ef437d449144f3fec8e9e3c9adb665c4bf8e85f6db1c630c10b030cf42e",176 "language": "Jupyter",177 "lines": 133,178 "truncated": false,179 "block": 17,180 "row": 5749181 },182 {183 "path": "plots_statistics/Compare_embedding_and_no_embedding.R",184 "sha256": "310b5c71b80f6834c6cde05e5929476857c057ae2eadbc4da4365b336bf38317",185 "language": "R",186 "lines": 106,187 "truncated": false,188 "block": 18,189 "row": 6906190 },191 {192 "path": "plots_statistics/LRP_results.R",193 "sha256": "a2e833efa4d697ecc51c1a563ce2854d639642fc3714a1e3a3975e19583831b3",194 "language": "R",195 "lines": 670,196 "truncated": false,197 "block": 18,198 "row": 8372199 },200 {201 "path": "plots_statistics/LRP_results_Manuscript.R",202 "sha256": "bb2b15b085c242a1f18e4d4e9553b9deb6cb59444d488bdbde9a3ba9da05aa5f",203 "language": "R",204 "lines": 679,205 "truncated": false,206 "block": 18,207 "row": 8373208 },209 {210 "path": "plots_statistics/LRP_results_single_genes.R",211 "sha256": "7db4194ed4286225ffad33c030947d4dc9ece16f522978e630413c0e1a1cf332",212 "language": "R",213 "lines": 108,214 "truncated": false,215 "block": 18,216 "row": 6902217 },218 {219 "path": "plots_statistics/LRP_results_some_cell_lines.R",220 "sha256": "0c6084614d7016998c9f68d867a24402fde43c35d72161328932cac0779d6b81",221 "language": "R",222 "lines": 248,223 "truncated": false,224 "block": 18,225 "row": 7823226 },227 {228 "path": "plots_statistics/build_rna_dataset.ipynb",229 "sha256": "8f84581bca9822226a786760c94eff2256a41f69002da4a2e33d877dff32c22b",230 "language": "Jupyter",231 "lines": 57,232 "truncated": false,233 "block": 17,234 "row": 5472235 },236 {237 "path": "plots_statistics/build_targets.ipynb",238 "sha256": "0aabf89fa12930a679ba4adca2f357714846328b3ca2b0dc685bf57935ac253e",239 "language": "Jupyter",240 "lines": 53,241 "truncated": false,242 "block": 17,243 "row": 5509244 },245 {246 "path": "plots_statistics/compare2linearregression_withsanger.ipynb",247 "sha256": "c6756614396a777f182219822b0bc08180b909cf07b05fee6160a801ae57aa7a",248 "language": "Jupyter",249 "lines": 198,250 "truncated": false,251 "block": 17,252 "row": 6150253 },254 {255 "path": "plots_statistics/compare_LRP_correlations_between_embeddings.R",256 "sha256": "97aba5985a0fc3b4a7bc593f37374c334b67069ed39c03f7ece0662c328976fc",257 "language": "R",258 "lines": 162,259 "truncated": false,260 "block": 18,261 "row": 7454262 },263 {264 "path": "plots_statistics/old_scripts/PAZOPANIB_LRP_results.R",265 "sha256": "41674f88f8dd7f7d9054590b5e513e65492c6316944f10a127ed23e6a8966147",266 "language": "R",267 "lines": 591,268 "truncated": false,269 "block": 18,270 "row": 8322271 },272 {273 "path": "plots_statistics/old_scripts/analyze_sanger_results.R",274 "sha256": "7358a308cf41cba801e5516f3e86918178e59a708b3421320eaa0f50a4dec9fa",275 "language": "R",276 "lines": 45,277 "truncated": false,278 "block": 18,279 "row": 6330280 },281 {282 "path": "plots_statistics/old_scripts/compare2ground_truth.R",283 "sha256": "4c19144a8aea7077fb968c0cfc0460ef8a372af88ea69e601401271bdc447cdb",284 "language": "R",285 "lines": 159,286 "truncated": false,287 "block": 18,288 "row": 7397289 },290 {291 "path": "plots_statistics/old_scripts/compare2linearregression.ipynb",292 "sha256": "42fe2ba9475abafe923ea5500b841ac48c65cc0d19492cedca5cd2b112a46fcd",293 "language": "Jupyter",294 "lines": 136,295 "truncated": false,296 "block": 17,297 "row": 5871298 },299 {300 "path": "plots_statistics/old_scripts/training_results_all_long.R",301 "sha256": "c39ecbda90c99512c9c6b5b6b53a0d9945212e745b1e3b0376e6d99840be967b",302 "language": "R",303 "lines": 565,304 "truncated": false,305 "block": 18,306 "row": 8335307 },308 {309 "path": "plots_statistics/plot_cell_and_drug_embeddings.ipynb",310 "sha256": "21f250928094037a4f60cb5594a00457288d1867c7c59db7ee98f1496b3da889",311 "language": "Jupyter",312 "lines": 58,313 "truncated": false,314 "block": 17,315 "row": 5495316 },317 {318 "path": "plots_statistics/smiles2vec.ipynb",319 "sha256": "621c42857cf371742f07b40a52247418b2bedacdc6704c63755b5a5b38f275ad",320 "language": "Jupyter",321 "lines": 146,322 "truncated": false,323 "block": 17,324 "row": 5848325 },326 {327 "path": "plots_statistics/training_results_manuscript.R",328 "sha256": "e2a794363eda62eaebca41ca3fd599699f89b60625e3fcdbe6362da7e8bea30e",329 "language": "R",330 "lines": 457,331 "truncated": false,332 "block": 18,333 "row": 8261334 },335 {336 "path": "plots_statistics/tsnes_etal.R",337 "sha256": "506e29cc6dfff61225a2ff0d2df721e603c6d215ac2fc0b8f13ab828d6fb0d31",338 "language": "R",339 "lines": 148,340 "truncated": false,341 "block": 18,342 "row": 7173343 },344 {345 "path": "settings.py",346 "sha256": "63028dab944400b8c1d4448d50710f9b077fe174fada94c4146aeb694eb4e042",347 "language": "Python",348 "lines": 1,349 "truncated": false,350 "block": 17,351 "row": 17101352 },353 {354 "path": "training.py",355 "sha256": "014c0e93aabd47cecf2f52dae43049815aab025f097189e07964e26456be0ae5",356 "language": "Python",357 "lines": 117,358 "truncated": false,359 "block": 17,360 "row": 26330361 }362 ]363}