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/falahsheikh/ealz",4 "url": "https://github.com/falahsheikh/eAlz",5 "host": "github.com",6 "commit": "50295b86d1450e5455e84ab249a908f115984314",7 "license": "CC-BY-NC-4.0",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "with_conditions",10 "files": [11 {12 "path": "LICENSE",13 "sha256": "4d8633d8ac3b6601b22636e0f136caca57fc606ac02e400c4b974abc7dc1972c",14 "language": "License",15 "lines": 12,16 "truncated": false,17 "block": 17,18 "row": 755919 },20 {21 "path": "README.md",22 "sha256": "0ff2d232d13c487a1d4a9a1f3dc483fa0555efcc167bee83652c62bd67fdb3c4",23 "language": "Text",24 "lines": 193,25 "truncated": false,26 "block": 18,27 "row": 1107928 },29 {30 "path": "cross_validate.py",31 "sha256": "e6f3db70862d4d6bbcf30be35549642f1d55d183f19e727857f5c8ff73168c86",32 "language": "Python",33 "lines": 78,34 "truncated": false,35 "block": 17,36 "row": 2564037 },38 {39 "path": "ealz/__init__.py",40 "sha256": "79cd6c92f03f43a6f74959297d773cabecbf3f88934f7d76730314fe08c74221",41 "language": "Python",42 "lines": 15,43 "truncated": false,44 "block": 17,45 "row": 1907046 },47 {48 "path": "ealz/config.py",49 "sha256": "8d151cf4fbb655b56c3072521dfae256d30b482633d8cda10cddfb2f737db4ad",50 "language": "Python",51 "lines": 23,52 "truncated": false,53 "block": 17,54 "row": 1923555 },56 {57 "path": "ealz/data.py",58 "sha256": "948b340c2b3b15521cecfe9c0bf3b22fffd884837d4b92c3f267a869a9637bb7",59 "language": "Python",60 "lines": 66,61 "truncated": false,62 "block": 17,63 "row": 2427664 },65 {66 "path": "ealz/metrics.py",67 "sha256": "b2eb7327f2b0dee9848f204c6121390578b377d616625d5bfcd0155a1b5e2485",68 "language": "Python",69 "lines": 89,70 "truncated": false,71 "block": 17,72 "row": 2575973 },74 {75 "path": "ealz/models.py",76 "sha256": "996e07d199e317f2147d11a51e9203cba10cd9b849cf071febe74aac8ef59c35",77 "language": "Python",78 "lines": 55,79 "truncated": false,80 "block": 17,81 "row": 2305782 },83 {84 "path": "ealz/preprocessing.py",85 "sha256": "f85269985839ced2a39a873fbc3ffb15174dd4ec2b4b47187a3f510f033699bf",86 "language": "Python",87 "lines": 95,88 "truncated": false,89 "block": 17,90 "row": 2714191 },92 {93 "path": "ealz/training.py",94 "sha256": "a2b11406d55f81fa87367574a16435f9d88ea4ce85943540bd4cdd117f80e93e",95 "language": "Python",96 "lines": 50,97 "truncated": false,98 "block": 17,99 "row": 22464100 },101 {102 "path": "ealz/xai.py",103 "sha256": "78401fdc4e535c27edfecf9bf512c84abf6a87ccff0466f63fc751d4a9b7580b",104 "language": "Python",105 "lines": 137,106 "truncated": false,107 "block": 17,108 "row": 29475109 },110 {111 "path": "explain.py",112 "sha256": "c70ca456e2a4e066de0049f571cfc3a7b3afcd2da21e211e5342980bcf513e82",113 "language": "Python",114 "lines": 64,115 "truncated": false,116 "block": 17,117 "row": 24482118 },119 {120 "path": "extract_slices.py",121 "sha256": "18fe04ffc942c6df079f07d78d4079ede2468e6eb4771e044561bcea88552d88",122 "language": "Python",123 "lines": 33,124 "truncated": false,125 "block": 17,126 "row": 21629127 },128 {129 "path": "notebooks/training_code.ipynb",130 "sha256": "bdbbeebcf5c58405cf2fa632f7d394f11a3e5b3b26de55528a631d78a92ae04a",131 "language": "Jupyter",132 "lines": 917,133 "truncated": false,134 "block": 17,135 "row": 7349136 },137 {138 "path": "tests/test_data.py",139 "sha256": "4f5cde463f491d4b8283b25565085f505754250bb97b78afbf8f2b2d0d931197",140 "language": "Python",141 "lines": 30,142 "truncated": false,143 "block": 17,144 "row": 21318145 },146 {147 "path": "tests/test_extract_slices.py",148 "sha256": "9427fb361af6302e6f5902c42575bc10f9ae0f80d69cf37f1c506729501b9634",149 "language": "Python",150 "lines": 32,151 "truncated": false,152 "block": 17,153 "row": 21256154 },155 {156 "path": "tests/test_metrics.py",157 "sha256": "c671f18ecdaee8d305fd3ecf30bfc42acdadbbf54865821cd81b949420551391",158 "language": "Python",159 "lines": 43,160 "truncated": false,161 "block": 17,162 "row": 22162163 },164 {165 "path": "tests/test_models.py",166 "sha256": "c853e932ec3a756e1527e482bca39769c7b2daa76fc81046b5a17c85bebe37ae",167 "language": "Python",168 "lines": 34,169 "truncated": false,170 "block": 17,171 "row": 21227172 },173 {174 "path": "tests/test_pipeline.py",175 "sha256": "5975ee72de5b624c4c700c908413c3801e3480bf30cd8dd906e9f039e21a6194",176 "language": "Python",177 "lines": 59,178 "truncated": false,179 "block": 17,180 "row": 24688181 },182 {183 "path": "tests/test_preprocessing.py",184 "sha256": "8772645d2daa4e0f134a9b8d9bdc1aa2ffa1fbca4e1a311e7592e7a93660e668",185 "language": "Python",186 "lines": 25,187 "truncated": false,188 "block": 17,189 "row": 20518190 },191 {192 "path": "tests/test_xai.py",193 "sha256": "1cc68dba41af9f1e73f091630e6d5791961a8002c509f6d29ff2465515734ce0",194 "language": "Python",195 "lines": 75,196 "truncated": false,197 "block": 17,198 "row": 25817199 },200 {201 "path": "train.py",202 "sha256": "2a3f034d29d4fd15219aed7f079f46fcd7411f1c86a37791c60d399a7597d0bf",203 "language": "Python",204 "lines": 70,205 "truncated": false,206 "block": 17,207 "row": 24809208 }209 ]210}