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/flavell-lab/brainalignnet",4 "url": "https://github.com/flavell-lab/BrainAlignNet",5 "host": "github.com",6 "commit": "5c6e8456e913ed637fd2e550238ff3e0ab0bf119",7 "license": "GPL-3.0",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11 {12 "path": "LICENSE",13 "sha256": "3972dc9744f6499f0f9b2dbf76696f2ae7ad8af9b23dde66d6af86c9dfb36986",14 "language": "License",15 "lines": 674,16 "truncated": false,17 "block": 1,18 "row": 223519 },20 {21 "path": "README.md",22 "sha256": "ced4ef65113bf9811442efa6770ad2738e61f824918a6a5ccf9b3b57aa20337c",23 "language": "Text",24 "lines": 109,25 "truncated": false,26 "block": 13,27 "row": 671128 },29 {30 "path": "demo_notebook/demo_network.ipynb",31 "sha256": "f9724433418eadafadc2b456fae45990b790058990d1f84d3df9eb98da352661",32 "language": "Jupyter",33 "lines": 75,34 "truncated": false,35 "block": 11,36 "row": 1222337 },38 {39 "path": "demo_notebook/demo_pipeline.ipynb",40 "sha256": "517cb261cd5942e746f374ada54ac0c340254b780942e85f25af6fcdc50b7fd8",41 "language": "Jupyter",42 "lines": 208,43 "truncated": false,44 "block": 11,45 "row": 1280646 },47 {48 "path": "scripts/benchmark.py",49 "sha256": "0c1d2314c54cc7f322035ac442009b4bcbb75127933020a6e86e33f46c3ce458",50 "language": "Python",51 "lines": 417,52 "truncated": false,53 "block": 12,54 "row": 1936155 },56 {57 "path": "scripts/benchmark_utils.py",58 "sha256": "5988930aa6dfc1d89d4818ec0ebe98e35f984e57b83cc0511f0dfe1ca74170fe",59 "language": "Python",60 "lines": 218,61 "truncated": false,62 "block": 12,63 "row": 1569564 },65 {66 "path": "scripts/data_preparation/adjust.jl",67 "sha256": "8691b973f5d0f8a7dca662e5daf1a6310c2b135d037235c9a0104ca327b0967b",68 "language": "Julia",69 "lines": 22,70 "truncated": false,71 "block": 11,72 "row": 1160673 },74 {75 "path": "scripts/data_preparation/data_utils.py",76 "sha256": "0576714768d487bfc061f29b08d400b3846161412efff0d830527a4b7c4510d7",77 "language": "Python",78 "lines": 237,79 "truncated": false,80 "block": 12,81 "row": 1629582 },83 {84 "path": "scripts/data_preparation/euler_register.py",85 "sha256": "63b54e16063936289bbfed56b069ef95ca6dfa8c9efdd2da8efef3f55d7246d0",86 "language": "Python",87 "lines": 437,88 "truncated": false,89 "block": 12,90 "row": 2029191 },92 {93 "path": "scripts/data_preparation/evaluate.py",94 "sha256": "0f760cb94fcf0765aea29ae5421cef37b8df0698b5178d6571a61346cce5bf81",95 "language": "Python",96 "lines": 28,97 "truncated": false,98 "block": 12,99 "row": 5505100 },101 {102 "path": "scripts/data_preparation/label_centroids.py",103 "sha256": "3b67623e1e09d44a159825e776331a348d58aa383638f633be02f7fe4c99f29d",104 "language": "Python",105 "lines": 121,106 "truncated": false,107 "block": 12,108 "row": 12974109 },110 {111 "path": "scripts/data_preparation/sample.py",112 "sha256": "dd304990f8d4fc3064348724d948dffc28fef81c9310dcfe67d7454dba499ca4",113 "language": "Python",114 "lines": 308,115 "truncated": false,116 "block": 12,117 "row": 18822118 },119 {120 "path": "scripts/data_preparation/warp.py",121 "sha256": "73287b9737a6c0cfe51d6fec1f7ceb5549d0d6fb45f1bf388d9d40c7cabefd4f",122 "language": "Python",123 "lines": 378,124 "truncated": false,125 "block": 12,126 "row": 19185127 },128 {129 "path": "scripts/data_preparation/warp_rfp.py",130 "sha256": "3112614e5bed4ec9bdaaadc8c360f0ed42f25e2677bea526b5e6db020e1c20ad",131 "language": "Python",132 "lines": 199,133 "truncated": false,134 "block": 12,135 "row": 14797136 },137 {138 "path": "scripts/data_preparation/warp_roi.py",139 "sha256": "9b331bbe337e31f772e494e7603bffced721c026fb57d736a9346f8a8f6e8dee",140 "language": "Python",141 "lines": 183,142 "truncated": false,143 "block": 12,144 "row": 14711145 },146 {147 "path": "scripts/gfp_control/adjust.jl",148 "sha256": "8691b973f5d0f8a7dca662e5daf1a6310c2b135d037235c9a0104ca327b0967b",149 "language": "Julia",150 "lines": 22,151 "truncated": false,152 "block": 11,153 "row": 11606154 },155 {156 "path": "scripts/gfp_control/data_utils.py",157 "sha256": "6e9a1308fedda18ba1ec44fe975f5b1634fc924ee0b9c3a14e9023502d4fd664",158 "language": "Python",159 "lines": 237,160 "truncated": false,161 "block": 12,162 "row": 16297163 },164 {165 "path": "scripts/gfp_control/run_gfp_control.py",166 "sha256": "11a4bdaf9aaaac3a3803722e82d48de07c39b0a6a9e1560e497543f395c11798",167 "language": "Python",168 "lines": 260,169 "truncated": false,170 "block": 12,171 "row": 16850172 },173 {174 "path": "scripts/network_utils.py",175 "sha256": "172b6f2b6a44f30d2fc157ce450936e6e5377d70a0a71a8da7c84c0f6ac685d2",176 "language": "Python",177 "lines": 29,178 "truncated": false,179 "block": 12,180 "row": 5216181 },182 {183 "path": "scripts/register.py",184 "sha256": "93ddfdb302f4611af38413ba58c5e4075daf860ba9e7d6e8a91a4e0fa440b04a",185 "language": "Python",186 "lines": 166,187 "truncated": false,188 "block": 12,189 "row": 15068190 },191 {192 "path": "scripts/train.py",193 "sha256": "6a9c312626722e7a9efa6279e153cd282037d3ccb7005a872fe15b49d4cb8895",194 "language": "Python",195 "lines": 98,196 "truncated": false,197 "block": 12,198 "row": 11128199 }200 ]201}