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/kq409/watermark-attack",4 "url": "https://github.com/kq409/Watermark-Attack",5 "host": "github.com",6 "commit": "7cc3a440504b10d4b4782dc3475393cf2cdb3e4b",7 "license": "MIT",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11 {12 "path": "LICENSE",13 "sha256": "5d038e825b35e808eba797b67964537c04dc4e470add1dd39621ad74fdfc0e0d",14 "language": "License",15 "lines": 21,16 "truncated": false,17 "block": 6,18 "row": 140219 },20 {21 "path": "README.md",22 "sha256": "e4f6942976317914cd5350fedcbd44176b2de3bd964a5535d875114c44935340",23 "language": "Text",24 "lines": 3,25 "truncated": false,26 "block": 8,27 "row": 951428 },29 {30 "path": "code/BER.py",31 "sha256": "605ee8fb4b936c44e56768476502ea2a876169020aeb8f21eebd76728b7ed7b6",32 "language": "Python",33 "lines": 52,34 "truncated": false,35 "block": 6,36 "row": 3149937 },38 {39 "path": "code/BER_calculate.py",40 "sha256": "0e8d18850023279bf679111b17d6eb64de67ba70e4be15990df465039330d673",41 "language": "Python",42 "lines": 21,43 "truncated": false,44 "block": 6,45 "row": 2264146 },47 {48 "path": "code/Compare.py",49 "sha256": "113c7dd1d3bdebd01b17d99675aad537a8f17d732f65a9e4fbc0eb72bf547b65",50 "language": "Python",51 "lines": 29,52 "truncated": false,53 "block": 6,54 "row": 2544455 },56 {57 "path": "code/DCTDWTSVD.py",58 "sha256": "e43b6f41b8d679e8d84e1b329702780149d1c60393124d0e5d309bf90af0d27c",59 "language": "Python",60 "lines": 462,61 "truncated": false,62 "block": 7,63 "row": 904764 },65 {66 "path": "code/Dataset.py",67 "sha256": "f78a0fff7f252f313bedefd2497bc53fc2dad8e54df708b5a76fb2948b5ac02d",68 "language": "Python",69 "lines": 25,70 "truncated": false,71 "block": 6,72 "row": 2405773 },74 {75 "path": "code/SSIMCompare.py",76 "sha256": "5045b188ab97f78bbc416def43952dec09a3ebea6c4541b156d41804d45fbf53",77 "language": "Python",78 "lines": 29,79 "truncated": false,80 "block": 6,81 "row": 2511782 },83 {84 "path": "code/U-Net.py",85 "sha256": "95a054b5dc39480520941cb6aa2411dc73ece2e0b9992c17caeb6a810382ae34",86 "language": "Python",87 "lines": 112,88 "truncated": false,89 "block": 6,90 "row": 3795291 },92 {93 "path": "code/clamptest.py",94 "sha256": "a241d1c95c3fa6b221b57d7210602f782d55b87a156bbeaae63512ee9fb79f8b",95 "language": "Python",96 "lines": 7,97 "truncated": false,98 "block": 6,99 "row": 20805100 },101 {102 "path": "code/diff.py",103 "sha256": "af49ea5428b0ce0d7b5ed93dcb8e55caf463672dfe86ebb1d2de55fef2a8421a",104 "language": "Python",105 "lines": 12,106 "truncated": false,107 "block": 6,108 "row": 22225109 },110 {111 "path": "code/example_generate.py",112 "sha256": "076d9e0179291358969f6a4526f12edaad681769e2efeba028eb80d9ad510ba0",113 "language": "Python",114 "lines": 199,115 "truncated": false,116 "block": 7,117 "row": 1684118 },119 {120 "path": "code/extract_methods.py",121 "sha256": "72309d042142d2625dda9da013745041f3c76a4b0fc8f4c017fed1cf713f55ee",122 "language": "Python",123 "lines": 67,124 "truncated": false,125 "block": 6,126 "row": 36661127 },128 {129 "path": "code/finetune.py",130 "sha256": "83f68771b6a1d95bd80fdcb49b856af4a87592f1c6cbb38f2c086f97b1b60b2d",131 "language": "Python",132 "lines": 249,133 "truncated": false,134 "block": 7,135 "row": 5153136 },137 {138 "path": "code/first demo.py",139 "sha256": "1e6a11152371bf2838ab7dc40ac76324b64d806a7f249b0099d151919426e10f",140 "language": "Python",141 "lines": 49,142 "truncated": false,143 "block": 6,144 "row": 33288145 },146 {147 "path": "code/htmlgenerator.py",148 "sha256": "db8f8484efefa2fd5aedf193219b5733a2c20ccc7eecadb62e22356e782c1e76",149 "language": "Python",150 "lines": 106,151 "truncated": false,152 "block": 6,153 "row": 43568154 },155 {156 "path": "code/j2b.py",157 "sha256": "215c87583ff43197ba5d6927773d01985b5bc24f36dea2e71a9c4987ca205f7a",158 "language": "Python",159 "lines": 91,160 "truncated": false,161 "block": 6,162 "row": 35482163 },164 {165 "path": "code/k_fold.py",166 "sha256": "77a7c5e4abcd02f50e2aed612bb8f144f67e762543a22768740cf3980d237fd4",167 "language": "Python",168 "lines": 177,169 "truncated": false,170 "block": 7,171 "row": 517172 },173 {174 "path": "code/k_fold_check.py",175 "sha256": "3dd9e3f773d3ceeddedad378456dfbcf3416d14ccb1f0c240f4e959fdda1c505",176 "language": "Python",177 "lines": 449,178 "truncated": false,179 "block": 7,180 "row": 8391181 },182 {183 "path": "code/k_fold_copy.py",184 "sha256": "1d0af487144e90a253b04995bfc9da7e42d4d6f11b6c0420aceccc29607f7878",185 "language": "Python",186 "lines": 216,187 "truncated": false,188 "block": 7,189 "row": 3482190 },191 {192 "path": "code/k_fold_finetune(1).py",193 "sha256": "7019b1e9f40229af5f756d5b7c89d85ab38356ceb3b33c7788d8905b601cb5d4",194 "language": "Python",195 "lines": 272,196 "truncated": false,197 "block": 7,198 "row": 6320199 },200 {201 "path": "code/k_fold_finetune.py",202 "sha256": "ae337313d6e90a424e95b8cad6d391040040f6d7a1b21020c90e17cda8d037c8",203 "language": "Python",204 "lines": 274,205 "truncated": false,206 "block": 7,207 "row": 6360208 },209 {210 "path": "code/k_fold_image.py",211 "sha256": "75d437e415ace1ca8715640415ff09b96362d7e42ea0ebbd83baffde3c919e9a",212 "language": "Python",213 "lines": 190,214 "truncated": false,215 "block": 7,216 "row": 858217 },218 {219 "path": "code/k_fold_pretrain(1).py",220 "sha256": "c0ac1c6479e8d78b3d737d7cd708a5083014b3575bdfaa0847e02191236c8709",221 "language": "Python",222 "lines": 195,223 "truncated": false,224 "block": 7,225 "row": 2611226 },227 {228 "path": "code/k_fold_pretrain.py",229 "sha256": "c0ac1c6479e8d78b3d737d7cd708a5083014b3575bdfaa0847e02191236c8709",230 "language": "Python",231 "lines": 195,232 "truncated": false,233 "block": 7,234 "row": 2611235 },236 {237 "path": "code/makelist.py",238 "sha256": "12de32dc5a80da413285bddfadeb2f040ab3b2bcc65ee013e7587f4f139185b6",239 "language": "Python",240 "lines": 57,241 "truncated": false,242 "block": 6,243 "row": 31476244 },245 {246 "path": "code/measure.py",247 "sha256": "9f9d55615e6687ae1ac0dfe101b31098de75b11ec3d9994dfaeb778d354cfb29",248 "language": "Python",249 "lines": 126,250 "truncated": false,251 "block": 6,252 "row": 38110253 },254 {255 "path": "code/model_eval.py",256 "sha256": "47a879f8b4b20705f99b5feda3eabde6315f664faa33a90d46ec921d0500ae37",257 "language": "Python",258 "lines": 70,259 "truncated": false,260 "block": 6,261 "row": 33725262 },263 {264 "path": "code/model_test.py",265 "sha256": "46c5befb45fdce77757386c9c95f0282628a923df5a9c7dbdd4ef1f89697bdcf",266 "language": "Python",267 "lines": 76,268 "truncated": false,269 "block": 6,270 "row": 33216271 },272 {273 "path": "code/model_test_copy.py",274 "sha256": "ea95aab21f689d53aec108ee9902d04090138b6da9e34e047e38cc99b1c8a1cf",275 "language": "Python",276 "lines": 76,277 "truncated": false,278 "block": 6,279 "row": 33402280 },281 {282 "path": "code/model_test_factors.py",283 "sha256": "3385ae13aac1391f99a4e5bb5dbef17f2edc267bfacb88c980575b42f7d0b896",284 "language": "Python",285 "lines": 68,286 "truncated": false,287 "block": 6,288 "row": 30961289 },290 {291 "path": "code/nn_CA.py",292 "sha256": "6f0b3b0d3c751887014f7a847185e98e1fa45e68f4179660313bc005c051d305",293 "language": "Python",294 "lines": 128,295 "truncated": false,296 "block": 6,297 "row": 38852298 },299 {300 "path": "code/nn_UD.py",301 "sha256": "0f9dafa6561f3980705ac9f11ebec0e2d1e3b924faede05b030541649f1e00f7",302 "language": "Python",303 "lines": 122,304 "truncated": false,305 "block": 6,306 "row": 36893307 },308 {309 "path": "code/nn_UD_1.py",310 "sha256": "a1aec1af50a63c7ce14118ab27e3fcc1bf2c31d19bdff0ec6a417c72492b83f5",311 "language": "Python",312 "lines": 147,313 "truncated": false,314 "block": 6,315 "row": 38628316 },317 {318 "path": "code/nn_module.py",319 "sha256": "12051406f7ffa2e2645bdd136f13954960202680bb0c7e8169cd0a5e72da7d52",320 "language": "Python",321 "lines": 121,322 "truncated": false,323 "block": 6,324 "row": 38517325 },326 {327 "path": "code/randomgenerator.py",328 "sha256": "959e0b96698747b453fff178b565e20f865e79214de29e7787797e0e902cce3d",329 "language": "Python",330 "lines": 14,331 "truncated": false,332 "block": 6,333 "row": 21590334 },335 {336 "path": "code/randomgenerator_copy.py",337 "sha256": "1d7ca966bf101cb60fc14f09081391801be41c227ec5fa01b6f34ae4d7007f3c",338 "language": "Python",339 "lines": 19,340 "truncated": false,341 "block": 6,342 "row": 22611343 },344 {345 "path": "code/show.py",346 "sha256": "0ce5535698bb746a521f63daa04b735350aed04610fd2aa3da402109ff94bb30",347 "language": "Python",348 "lines": 60,349 "truncated": false,350 "block": 6,351 "row": 32530352 },353 {354 "path": "code/test.py",355 "sha256": "be62745a7a4bdcc1568d780f3c03e79e797ef120a6166dc534e535b5b1daeb2f",356 "language": "Python",357 "lines": 23,358 "truncated": false,359 "block": 6,360 "row": 23300361 },362 {363 "path": "code/test_html.py",364 "sha256": "393ea08ec2454eaefd99817eca3bfb073da824070ff93af5e839b7caf9699594",365 "language": "Python",366 "lines": 74,367 "truncated": false,368 "block": 6,369 "row": 35238370 },371 {372 "path": "code/train.py",373 "sha256": "4db57ac2d0117b705c0c237c845db601f3f54c74273bbf505590abb70fa96718",374 "language": "Python",375 "lines": 185,376 "truncated": false,377 "block": 6,378 "row": 44313379 },380 {381 "path": "code/train_copy.py",382 "sha256": "4db57ac2d0117b705c0c237c845db601f3f54c74273bbf505590abb70fa96718",383 "language": "Python",384 "lines": 185,385 "truncated": false,386 "block": 6,387 "row": 44313388 },389 {390 "path": "code/train_finetune.py",391 "sha256": "f7ba41b4163895f3ecc8740eeb74843927400ed6916b65f019e9f0c674ab1e28",392 "language": "Python",393 "lines": 190,394 "truncated": false,395 "block": 6,396 "row": 44664397 },398 {399 "path": "code/train_run(1).py",400 "sha256": "5c7e76814b1b536bc683f276c38228a08df6e6eeafa05e8562663a57063b52e9",401 "language": "Python",402 "lines": 53,403 "truncated": false,404 "block": 6,405 "row": 36666406 },407 {408 "path": "code/train_run.py",409 "sha256": "5c7e76814b1b536bc683f276c38228a08df6e6eeafa05e8562663a57063b52e9",410 "language": "Python",411 "lines": 53,412 "truncated": false,413 "block": 6,414 "row": 36666415 }416 ]417}