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/hkc5/fiber-prediction",4 "url": "https://github.com/hkc5/fiber-prediction/tree/main",5 "host": "github.com",6 "commit": "e8a6480892973264ed2ab47a3f3010d2db94c0bd",7 "license": "MIT",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11 {12 "path": "LICENSE",13 "sha256": "72fbc281ef2c9e81ff3c121104750f9364835696136e2f58014ed036fbdebd85",14 "language": "License",15 "lines": 21,16 "truncated": false,17 "block": 22,18 "row": 1410319 },20 {21 "path": "README.md",22 "sha256": "f5209441e11ac2d34b83531724b0d69a30247d79179911e1a52923e1504e688e",23 "language": "Text",24 "lines": 105,25 "truncated": false,26 "block": 24,27 "row": 64928 },29 {30 "path": "notebooks/CNN/Model_Comparison.ipynb",31 "sha256": "7a9084ab01a23c3265174b380b9569abc9229972d814834ed4db870ddf6c4f08",32 "language": "Jupyter",33 "lines": 409,34 "truncated": false,35 "block": 22,36 "row": 1338937 },38 {39 "path": "notebooks/CNN_Inference.ipynb",40 "sha256": "cfcd2500912fb9ef996d7782843d3c36a54b9eaa5387cb199791ee7d14e6a584",41 "language": "Jupyter",42 "lines": 406,43 "truncated": false,44 "block": 22,45 "row": 1331846 },47 {48 "path": "notebooks/EDA.ipynb",49 "sha256": "ec1be8296e03455f2a7b2ca5f9b1ca64a286a50d93f1ed62a76924c002c8006f",50 "language": "Jupyter",51 "lines": 172,52 "truncated": false,53 "block": 22,54 "row": 1283055 },56 {57 "path": "notebooks/HOG/Augmented_Model_Analysis.ipynb",58 "sha256": "1a94f03ab5f4998d2f1ff3e49fec7e03401451adb5ae4f6e51bd710de78472f4",59 "language": "Jupyter",60 "lines": 287,61 "truncated": false,62 "block": 22,63 "row": 1313564 },65 {66 "path": "notebooks/HOG/Balanced_Model_Analysis.ipynb",67 "sha256": "845160272de72fdb6e12d37e317f6a209e8b2a9c1d433c9a8ebec397110445e5",68 "language": "Jupyter",69 "lines": 265,70 "truncated": false,71 "block": 22,72 "row": 1312773 },74 {75 "path": "notebooks/HOG/Combined_Augmented_Analysis.ipynb",76 "sha256": "889d91d57b3ae3da1682737e022f74b773f180127dc619ab484a8112099b42c2",77 "language": "Jupyter",78 "lines": 226,79 "truncated": false,80 "block": 22,81 "row": 1296782 },83 {84 "path": "notebooks/HOG/GridQ_Optimization.ipynb",85 "sha256": "648fc4e79c4586656666a541be519aa0d55a36c7883376e51bc4242e4b93f506",86 "language": "Jupyter",87 "lines": 113,88 "truncated": false,89 "block": 22,90 "row": 1268491 },92 {93 "path": "notebooks/HOG/Model_Comparison.ipynb",94 "sha256": "b69aff8b8ada1b7486d36227c932ada6b2b2dc36572e7883ce67f416c5706af8",95 "language": "Jupyter",96 "lines": 375,97 "truncated": false,98 "block": 22,99 "row": 13473100 },101 {102 "path": "notebooks/HOG/Parameter_Optimization.ipynb",103 "sha256": "a9781515a823f3499df9dc00965bffd2e7cf2f7ee424c4550967b6ee9b1777e5",104 "language": "Jupyter",105 "lines": 268,106 "truncated": false,107 "block": 22,108 "row": 13056109 },110 {111 "path": "notebooks/HOG/Regressor_Comparison.ipynb",112 "sha256": "e1d891013ab9c6eff5df84be994eecd3ea569fd9d3767d95ac2d665661d83db2",113 "language": "Jupyter",114 "lines": 194,115 "truncated": false,116 "block": 22,117 "row": 12896118 },119 {120 "path": "notebooks/HOG/SVR_HOG.ipynb",121 "sha256": "a747b7d0b814e285e1b54bc8f714a979f92dc644e49a128a35279fa3b84ead8d",122 "language": "Jupyter",123 "lines": 205,124 "truncated": false,125 "block": 22,126 "row": 12913127 },128 {129 "path": "notebooks/HOG_Inference.ipynb",130 "sha256": "4db0ef845fc0374f7ed900d1e60a92cc73a8b2d76e7208326f0c7fdd29543baf",131 "language": "Jupyter",132 "lines": 352,133 "truncated": false,134 "block": 22,135 "row": 13244136 },137 {138 "path": "src/fiber_predictor/apps/angle_labeler.py",139 "sha256": "2f191203e70637504a36c6ac544975c5f2d9fc13c8fa5306a61bb9597d928ad7",140 "language": "Python",141 "lines": 172,142 "truncated": false,143 "block": 23,144 "row": 7361145 },146 {147 "path": "src/fiber_predictor/apps/train_model.py",148 "sha256": "f68db9bc819e6c29d2a23ef5ac51164c4ffde50d49e77d5aa6eae774fb3a6862",149 "language": "Python",150 "lines": 183,151 "truncated": false,152 "block": 23,153 "row": 7070154 },155 {156 "path": "src/fiber_predictor/neural_networks/data_processing.py",157 "sha256": "020abed0c776ca778f9e7f009dff4f63df6404e7b8d06df304db8ecec4d48980",158 "language": "Python",159 "lines": 165,160 "truncated": false,161 "block": 23,162 "row": 6985163 },164 {165 "path": "src/fiber_predictor/neural_networks/model.py",166 "sha256": "c0780f852f896046a3fbef28a62144ddf697e8977594855f8452c944daaab498",167 "language": "Python",168 "lines": 85,169 "truncated": false,170 "block": 23,171 "row": 3297172 },173 {174 "path": "src/fiber_predictor/svr_hog/data_processing.py",175 "sha256": "fc28c878fe9bd3ba30653749a18a749de049e4d609b0eb0a5c7e6bc8fe179356",176 "language": "Python",177 "lines": 181,178 "truncated": false,179 "block": 23,180 "row": 7938181 },182 {183 "path": "src/fiber_predictor/svr_hog/feature_extraction.py",184 "sha256": "8940417c971015e89cb2724c53acf5f3a6cdef22e25b0e590cfb5261b488fa50",185 "language": "Python",186 "lines": 46,187 "truncated": false,188 "block": 23,189 "row": 647190 },191 {192 "path": "src/fiber_predictor/svr_hog/models.py",193 "sha256": "7c498ba16a9a0b6db60b92c674564e0e820d9d7e743c9122652c3758a57b0eaa",194 "language": "Python",195 "lines": 119,196 "truncated": false,197 "block": 23,198 "row": 5537199 },200 {201 "path": "src/fiber_predictor/utils/angle_utils.py",202 "sha256": "6224ed167ee427bc76d28b9d84c235d84dbe28ef043556689a40523723d1d16e",203 "language": "Python",204 "lines": 20,205 "truncated": false,206 "block": 22,207 "row": 27127208 },209 {210 "path": "src/fiber_predictor/utils/split_utils.py",211 "sha256": "d2322b5af4c2511132996b36dac928e9caaa0ccacf87e916334635d5f65b3da1",212 "language": "Python",213 "lines": 78,214 "truncated": false,215 "block": 23,216 "row": 3194217 },218 {219 "path": "src/fiber_predictor/utils/utils.py",220 "sha256": "81888862ab4979d971559c9ece8793dd36d7dd3f3002febd4fa51e24ca1787c8",221 "language": "Python",222 "lines": 216,223 "truncated": false,224 "block": 23,225 "row": 8151226 }227 ]228}