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.
05.2k
1{2 "format": "oscr-script-manifest/1",3 "repository": "github.com/danielwalke/sbcdataanalysis",4 "url": "https://github.com/danielwalke/SBCDataAnalysis",5 "host": "github.com",6 "commit": "8fa6eb60a934fb540fd5b3f7a9d77d2c741bc4c9",7 "license": "Apache-2.0",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11 {12 "path": ".ipynb_checkpoints/CUDA_Test-checkpoint.ipynb",13 "sha256": "fc4e7ab81b589a9b934d888609e21fe76038956c3093baeff34c63ea802585d4",14 "language": "Jupyter",15 "lines": 364,16 "truncated": false,17 "block": 20,18 "row": 840119 },20 {21 "path": ".ipynb_checkpoints/Deepsets-checkpoint.ipynb",22 "sha256": "ebd4b220a9cbf44712d5716eb5d81de63e946d3eb5c9254d3a3f22052ae392aa",23 "language": "Jupyter",24 "lines": 282,25 "truncated": false,26 "block": 20,27 "row": 816028 },29 {30 "path": ".ipynb_checkpoints/FeatureVariation-DirGAT-checkpoint.ipynb",31 "sha256": "09f4a56da613f406a3f63c7d654d12e7290bb60121663d7799e0cdb245b4c043",32 "language": "Jupyter",33 "lines": 138,34 "truncated": false,35 "block": 20,36 "row": 788437 },38 {39 "path": ".ipynb_checkpoints/FeatureVariation-GAT-checkpoint.ipynb",40 "sha256": "27b70f0b3b986e11431cb7bbd102f23268f41790575273274d0772bb2583ee9a",41 "language": "Jupyter",42 "lines": 133,43 "truncated": false,44 "block": 20,45 "row": 788146 },47 {48 "path": ".ipynb_checkpoints/FeatureVariation-HetGNN-checkpoint.ipynb",49 "sha256": "29df55286002fbc8ab25350faf66f8e127b3f773a5254f00e8a716d12bbab59d",50 "language": "Jupyter",51 "lines": 267,52 "truncated": false,53 "block": 20,54 "row": 817555 },56 {57 "path": ".ipynb_checkpoints/FeatureVariation-HomoGNN-checkpoint.ipynb",58 "sha256": "56ce8400e91f752812d9320a02eb1b85227a7c18d340a9ceccf82abe8e9d1236",59 "language": "Jupyter",60 "lines": 103,61 "truncated": false,62 "block": 20,63 "row": 782264 },65 {66 "path": ".ipynb_checkpoints/FeatureVariation-II-checkpoint.ipynb",67 "sha256": "01ba4719c80b6fe911b091a7c05124b64eeece964e09c058ef8f9805daca546b",68 "language": "Jupyter",69 "lines": 1,70 "truncated": false,71 "block": 1,72 "row": 495673 },74 {75 "path": ".ipynb_checkpoints/FeatureVariation-NeuralNetwork-checkpoint.ipynb",76 "sha256": "d0f6bf7d88535fa101a02018e0d32eb0b3e126d5b8e54285b582b700ef58f20e",77 "language": "Jupyter",78 "lines": 304,79 "truncated": false,80 "block": 20,81 "row": 823982 },83 {84 "path": ".ipynb_checkpoints/FeatureWiseImportance-checkpoint.ipynb",85 "sha256": "de9f03458fc9cf6447b9e22167df69a71aa69c71c4769748e51e801654205b44",86 "language": "Jupyter",87 "lines": 97,88 "truncated": false,89 "block": 20,90 "row": 787891 },92 {93 "path": ".ipynb_checkpoints/FeedforwardNeuralNetwork-checkpoint.ipynb",94 "sha256": "d56a85ff7ee66fd4de74f25bc4a74b64740e147058409b84833e57af08486284",95 "language": "Jupyter",96 "lines": 268,97 "truncated": false,98 "block": 20,99 "row": 8084100 },101 {102 "path": ".ipynb_checkpoints/GAT-TIME-Batching-checkpoint.ipynb",103 "sha256": "5a519fa6077a0e7005c8cdf16923bc863d8466d136ab4ebc3707d918d2386392",104 "language": "Jupyter",105 "lines": 395,106 "truncated": false,107 "block": 20,108 "row": 8308109 },110 {111 "path": ".ipynb_checkpoints/GAT-TIME-NeighborHoodSampling-Greifswald-Copy1-checkpoint.ipynb",112 "sha256": "dc1272d77eeef1cbdc84e70ead89eaef36e039523022a4713a9abf6d6a92f503",113 "language": "Jupyter",114 "lines": 429,115 "truncated": false,116 "block": 20,117 "row": 8358118 },119 {120 "path": ".ipynb_checkpoints/GAT-TIME-NeighborHoodSampling-Greifswald-Dir-Copy2-checkpoint.ipynb",121 "sha256": "4b436ead0292cf381d18fa96ebf1b08054217291ea45bb0adc62dc1b7b726950",122 "language": "Jupyter",123 "lines": 460,124 "truncated": false,125 "block": 20,126 "row": 8388127 },128 {129 "path": ".ipynb_checkpoints/GAT-TIME-NeighborHoodSampling-Greifswald-Dir-Copy3-checkpoint.ipynb",130 "sha256": "4b436ead0292cf381d18fa96ebf1b08054217291ea45bb0adc62dc1b7b726950",131 "language": "Jupyter",132 "lines": 460,133 "truncated": false,134 "block": 20,135 "row": 8388136 },137 {138 "path": ".ipynb_checkpoints/GAT-TIME-NeighborHoodSampling-Greifswald-Dir-Copy4-checkpoint.ipynb",139 "sha256": "9cf1c8c7fb4f2f8dcf8d2495c44a4bd9b3dff1fe98c1c2421382f33b3f60e571",140 "language": "Jupyter",141 "lines": 377,142 "truncated": false,143 "block": 20,144 "row": 8314145 },146 {147 "path": ".ipynb_checkpoints/GAT-TIME-NeighborHoodSampling-Greifswald-Dir-checkpoint.ipynb",148 "sha256": "82f2c3919c9a163782d6998b73432af8405d2101fc884c6599f3232a21a6ccfb",149 "language": "Jupyter",150 "lines": 417,151 "truncated": false,152 "block": 20,153 "row": 8349154 },155 {156 "path": ".ipynb_checkpoints/GAT-TIME-NeighborHoodSampling-Greifswald-WO_Pos-checkpoint.ipynb",157 "sha256": "8bcf3c5ce980ac36826965ab003e24e164568fe0c08ae9c0e45a31fe07b4bd5e",158 "language": "Jupyter",159 "lines": 429,160 "truncated": false,161 "block": 20,162 "row": 8355163 },164 {165 "path": ".ipynb_checkpoints/GAT-TIME-NeighborHoodSampling-MIMIC-checkpoint.ipynb",166 "sha256": "700adcc812186430edc71db06d1a8b212e21265fef39b9bcd904fdf93281792e",167 "language": "Jupyter",168 "lines": 379,169 "truncated": false,170 "block": 20,171 "row": 8322172 },173 {174 "path": ".ipynb_checkpoints/GAT-TIME-NeighborHoodSampling-WorkingCopy-Delete-checkpoint.ipynb",175 "sha256": "b016419fe7057a19aae63a892dc4f3565b90bf998387a4f945615aaca19a5404",176 "language": "Jupyter",177 "lines": 369,178 "truncated": false,179 "block": 20,180 "row": 8283181 },182 {183 "path": ".ipynb_checkpoints/GAT-TIME-NeighborHoodSampling-checkpoint.ipynb",184 "sha256": "471a691c6427783c1aab2ac95bf5825cd912824d0765b6e71f793c59eb5a8d53",185 "language": "Jupyter",186 "lines": 369,187 "truncated": false,188 "block": 20,189 "row": 8282190 },191 {192 "path": ".ipynb_checkpoints/GAT-TIME-checkpoint.ipynb",193 "sha256": "f3f89b289785b05fe31939ea823a222aba73ca175ee2cc6336da17a8e4b9243a",194 "language": "Jupyter",195 "lines": 526,196 "truncated": false,197 "block": 20,198 "row": 8434199 },200 {201 "path": ".ipynb_checkpoints/HeterogeneousGNN-Copy1-checkpoint.ipynb",202 "sha256": "247c17e41d90db7ad62587433a5e66546618c426cfabe61d6f7f6ed1b48f2fb9",203 "language": "Jupyter",204 "lines": 334,205 "truncated": false,206 "block": 20,207 "row": 8298208 },209 {210 "path": ".ipynb_checkpoints/HeterogeneousGNN-checkpoint.ipynb",211 "sha256": "6ec7311b25477c6fc5cc867b8d6574ff2a5f71d672fd720156dc9e0b404cb47a",212 "language": "Jupyter",213 "lines": 443,214 "truncated": false,215 "block": 20,216 "row": 8415217 },218 {219 "path": ".ipynb_checkpoints/HomogeneousGNN-checkpoint.ipynb",220 "sha256": "58a04da424beb050a51c66dba83059b917095ceaa23cc5d9a49170ee8463627c",221 "language": "Jupyter",222 "lines": 327,223 "truncated": false,224 "block": 20,225 "row": 8235226 },227 {228 "path": ".ipynb_checkpoints/MIMIC+FeaturesPreprocess-checkpoint.ipynb",229 "sha256": "551bcfe8ac1f06fbe83535e43b17ec688a75bb7a28a898d20b1386b05a008a98",230 "language": "Jupyter",231 "lines": 74,232 "truncated": false,233 "block": 20,234 "row": 7749235 },236 {237 "path": ".ipynb_checkpoints/MIMIC+SBC-checkpoint.ipynb",238 "sha256": "3fbcd549607261d30e4a6017013caffd056d71d955ee51af2514ce2e8d696c35",239 "language": "Jupyter",240 "lines": 100,241 "truncated": false,242 "block": 20,243 "row": 7791244 },245 {246 "path": ".ipynb_checkpoints/MIMICAddFeatureAnalysis-checkpoint.ipynb",247 "sha256": "e762c062a657d05fe90f9ff1bc4d29cf102c53f26e0e644c2742a86c137dfd6f",248 "language": "Jupyter",249 "lines": 176,250 "truncated": false,251 "block": 20,252 "row": 7964253 },254 {255 "path": ".ipynb_checkpoints/MachineLearning-checkpoint.ipynb",256 "sha256": "dfbd7de3711a542adbbd5b839161bfaef8f29dad9e294e829ddcff7c92a39b54",257 "language": "Jupyter",258 "lines": 393,259 "truncated": false,260 "block": 20,261 "row": 8346262 },263 {264 "path": ".ipynb_checkpoints/Mimic_Sepsis-checkpoint.ipynb",265 "sha256": "2790b648139cb93aff4f8d8009365d837a7b3f49867f7b4ae74361bda5134196",266 "language": "Jupyter",267 "lines": 191,268 "truncated": false,269 "block": 20,270 "row": 8014271 },272 {273 "path": ".ipynb_checkpoints/PCA-checkpoint.ipynb",274 "sha256": "c94f293c89c63f252dba8fa451de153e6d3643650c642faf7945ac200b4d08e8",275 "language": "Jupyter",276 "lines": 181,277 "truncated": false,278 "block": 20,279 "row": 7961280 },281 {282 "path": ".ipynb_checkpoints/SBCAddNoise-checkpoint.ipynb",283 "sha256": "17598eff3b93723f730d7b50233f56d7a1d448ff3c51772d6703e3ad4c1079ae",284 "language": "Jupyter",285 "lines": 27,286 "truncated": false,287 "block": 20,288 "row": 7626289 },290 {291 "path": ".ipynb_checkpoints/Statistics-checkpoint.ipynb",292 "sha256": "627423326596950a0d9d5efddc5cf0804fb84edbd77ec4f075d831933a42f465",293 "language": "Jupyter",294 "lines": 235,295 "truncated": false,296 "block": 20,297 "row": 8121298 },299 {300 "path": ".ipynb_checkpoints/Time Vis-checkpoint.ipynb",301 "sha256": "4fea827bbb89ea051afe997a9b9f00354b7651b7a085133da9d7d2fcb0415771",302 "language": "Jupyter",303 "lines": 326,304 "truncated": false,305 "block": 20,306 "row": 8264307 },308 {309 "path": ".ipynb_checkpoints/ViolinplotsAndAnosim-checkpoint.ipynb",310 "sha256": "fbe00fe4281a00c209c0e9aabd6e5f304e4e2b37c61d2d8a28645d0475d3bb62",311 "language": "Jupyter",312 "lines": 67,313 "truncated": false,314 "block": 20,315 "row": 7736316 },317 {318 "path": ".ipynb_checkpoints/timeseries-checkpoint.ipynb",319 "sha256": "e3671bc595325599e0dc2b613eff8d001cc8227066b2dc7cbb834c92c690fdd6",320 "language": "Jupyter",321 "lines": 322,322 "truncated": false,323 "block": 20,324 "row": 8354325 },326 {327 "path": "Cluster.ipynb",328 "sha256": "0a2e5ab85f9dbd3ad7fe6b7d76588ba6c5af00f581d72410f15c75788dcca032",329 "language": "Jupyter",330 "lines": 65,331 "truncated": false,332 "block": 20,333 "row": 7720334 },335 {336 "path": "LICENSE",337 "sha256": "9d0e3784a117f93a9985159025e50debdff00165a76989ea3deb3fd026c4d9e7",338 "language": "License",339 "lines": 201,340 "truncated": false,341 "block": 20,342 "row": 8854343 },344 {345 "path": "README.md",346 "sha256": "651383a827a1da4aa323b110f1dee4e4d3a6a68d10b090f1605a2518d37ec681",347 "language": "Text",348 "lines": 79,349 "truncated": false,350 "block": 21,351 "row": 3102352 },353 {354 "path": "cuda_test/.ipynb_checkpoints/CUDA_Test-checkpoint.ipynb",355 "sha256": "14368bd4b8761809b09b9de6f9473c06323bf375ab1edc8beac907a1658fcad7",356 "language": "Jupyter",357 "lines": 10,358 "truncated": false,359 "block": 20,360 "row": 7625361 },362 {363 "path": "cuda_test/CUDA_Test.ipynb",364 "sha256": "8d438c5bbde91096d280a90acf090eb1a516954ad0603854d6365c5d5e77019d",365 "language": "Jupyter",366 "lines": 14,367 "truncated": false,368 "block": 20,369 "row": 7627370 },371 {372 "path": "dataAnalysis/.ipynb_checkpoints/Constants-checkpoint.py",373 "sha256": "98098c0d35f8762953454ef2651c2b8fb2cd75a756b197f2351a931262ba94a0",374 "language": "Python",375 "lines": 43,376 "truncated": false,377 "block": 20,378 "row": 14730379 },380 {381 "path": "dataAnalysis/.ipynb_checkpoints/DataAnalysis-checkpoint.py",382 "sha256": "e84b507cdb5504bfba434464eb688edbec09cc54b674110e428dc570f852ab9e",383 "language": "Python",384 "lines": 108,385 "truncated": false,386 "block": 20,387 "row": 18122388 },389 {390 "path": "dataAnalysis/.ipynb_checkpoints/FeatureImportance-checkpoint.py",391 "sha256": "f26047d0a694d3eb19a7f3c2023440a30ed88599f54624f3c7086b8ffe77ceb1",392 "language": "Python",393 "lines": 113,394 "truncated": false,395 "block": 20,396 "row": 18634397 },398 {399 "path": "dataAnalysis/.ipynb_checkpoints/Metrics-checkpoint.py",400 "sha256": "ba21a7dd85be0d1cf9d97755c38242eddd8197e9c4ec65ae602e41fc281df707",401 "language": "Python",402 "lines": 100,403 "truncated": false,404 "block": 20,405 "row": 17919406 },407 {408 "path": "dataAnalysis/Constants.py",409 "sha256": "98098c0d35f8762953454ef2651c2b8fb2cd75a756b197f2351a931262ba94a0",410 "language": "Python",411 "lines": 43,412 "truncated": false,413 "block": 20,414 "row": 14730415 },416 {417 "path": "dataAnalysis/DataAnalysis.py",418 "sha256": "e84b507cdb5504bfba434464eb688edbec09cc54b674110e428dc570f852ab9e",419 "language": "Python",420 "lines": 108,421 "truncated": false,422 "block": 20,423 "row": 18122424 },425 {426 "path": "dataAnalysis/FeatureImportance.py",427 "sha256": "f26047d0a694d3eb19a7f3c2023440a30ed88599f54624f3c7086b8ffe77ceb1",428 "language": "Python",429 "lines": 113,430 "truncated": false,431 "block": 20,432 "row": 18634433 },434 {435 "path": "dataAnalysis/Metrics.py",436 "sha256": "ba21a7dd85be0d1cf9d97755c38242eddd8197e9c4ec65ae602e41fc281df707",437 "language": "Python",438 "lines": 100,439 "truncated": false,440 "block": 20,441 "row": 17919442 },443 {444 "path": "dataAnalysis/data/.ipynb_checkpoints/Filter-checkpoint.py",445 "sha256": "ffdf9817a74c49ec8af653d1170d4aaf85b5fd55e19ec04298b672eba42326d3",446 "language": "Python",447 "lines": 71,448 "truncated": false,449 "block": 20,450 "row": 17177451 },452 {453 "path": "dataAnalysis/data/.ipynb_checkpoints/MIMIC-checkpoint.py",454 "sha256": "81e55b8e5d69884f5cd9b06d9f164415b089b401bb45ee7146320174e9d6f734",455 "language": "Python",456 "lines": 7,457 "truncated": false,458 "block": 20,459 "row": 12721460 },461 {462 "path": "dataAnalysis/data/.ipynb_checkpoints/Validation-checkpoint.py",463 "sha256": "3153395bd177bc5f1bd2398b203e1353f4ff1fb405ec6a17e8fdd7d285cfe9c3",464 "language": "Python",465 "lines": 7,466 "truncated": false,467 "block": 20,468 "row": 12737469 },470 {471 "path": "dataAnalysis/data/Filter.py",472 "sha256": "ffdf9817a74c49ec8af653d1170d4aaf85b5fd55e19ec04298b672eba42326d3",473 "language": "Python",474 "lines": 71,475 "truncated": false,476 "block": 20,477 "row": 17177478 },479 {480 "path": "dataAnalysis/data/Greifswald_Validation.py",481 "sha256": "2c70003bc9ccf5de46aa91e08d0ebce541095f4f771b550eb26db54048168f42",482 "language": "Python",483 "lines": 7,484 "truncated": false,485 "block": 20,486 "row": 12768487 },488 {489 "path": "dataAnalysis/data/MIMIC.py",490 "sha256": "81e55b8e5d69884f5cd9b06d9f164415b089b401bb45ee7146320174e9d6f734",491 "language": "Python",492 "lines": 7,493 "truncated": false,494 "block": 20,495 "row": 12721496 },497 {498 "path": "dataAnalysis/data/Training.py",499 "sha256": "a88d6b93e736d82a044dddc09447d7e854349f30100daaf1080e81d0ced12a2a",500 "language": "Python",501 "lines": 7,502 "truncated": false,503 "block": 20,504 "row": 12722505 },506 {507 "path": "dataAnalysis/data/Validation.py",508 "sha256": "3153395bd177bc5f1bd2398b203e1353f4ff1fb405ec6a17e8fdd7d285cfe9c3",509 "language": "Python",510 "lines": 7,511 "truncated": false,512 "block": 20,513 "row": 12737514 },515 {516 "path": "dataAnalysis/patientData/Age.py",517 "sha256": "e69c7bc07c03316d19bd133107751ecad614165d824a6f0254485ee6ea1373c8",518 "language": "Python",519 "lines": 52,520 "truncated": false,521 "block": 20,522 "row": 14993523 },524 {525 "path": "dataAnalysis/patientData/Center.py",526 "sha256": "b4d68987d93a25983b22b53b72b5ee31abfca52dc327859992b43437a762cfdd",527 "language": "Python",528 "lines": 32,529 "truncated": false,530 "block": 20,531 "row": 14212532 },533 {534 "path": "dataAnalysis/patientData/Diagnosis.py",535 "sha256": "237fdbf2eff73122239d600d3e6631b147e7a386883cc9920693f294df4392c0",536 "language": "Python",537 "lines": 38,538 "truncated": false,539 "block": 20,540 "row": 14541541 },542 {543 "path": "dataAnalysis/patientData/Episode.py",544 "sha256": "fc36be17a22f23359cacdffb12a7353bf17ebd10339bf7a27d7ffa43d9611e50",545 "language": "Python",546 "lines": 11,547 "truncated": false,548 "block": 20,549 "row": 12887550 },551 {552 "path": "dataAnalysis/patientData/SecToIcu.py",553 "sha256": "544a2ff835ce6a733d407139b6a6aa0ae545da0d63623fd7eeb33294f90831cf",554 "language": "Python",555 "lines": 11,556 "truncated": false,557 "block": 20,558 "row": 12914559 },560 {561 "path": "dataAnalysis/patientData/Sender.py",562 "sha256": "4152df43c27b9535e8e3a9ad5c6dad294a5ecfb204db098f0f308d69d3da861b",563 "language": "Python",564 "lines": 11,565 "truncated": false,566 "block": 20,567 "row": 12876568 },569 {570 "path": "dataAnalysis/patientData/Set.py",571 "sha256": "801908d8e7c87d676b1fc1f3b0b469560954937acbe7603abd491a02f53d35dc",572 "language": "Python",573 "lines": 32,574 "truncated": false,575 "block": 20,576 "row": 14157577 },578 {579 "path": "dataAnalysis/patientData/Sex.py",580 "sha256": "c79864bcf4a4904432f58911cc0a2189b538d7eb9f2b076de8182a5ae23e33aa",581 "language": "Python",582 "lines": 32,583 "truncated": false,584 "block": 20,585 "row": 14069586 },587 {588 "path": "dataAnalysis/patientData/TargetIcu.py",589 "sha256": "9e72380fa376791ba77d7b932cd035bb242182e05cb0e252cac65bb9aac27426",590 "language": "Python",591 "lines": 4,592 "truncated": false,593 "block": 20,594 "row": 12655595 },596 {597 "path": "dataAnalysis/patientData/Time.py",598 "sha256": "166d198d15bb4b82618789433fa5aaa5867ca85baa4d08bb8b6f462af7e6303b",599 "language": "Python",600 "lines": 10,601 "truncated": false,602 "block": 20,603 "row": 12813604 },605 {606 "path": "dataAnalysis/patientData/bloodValues/BloodValue.py",607 "sha256": "cf7d6b19e1a47eebe7a672d430bbb2b1db80b4e9e5ac0dc949c82bc07d1c7cb7",608 "language": "Python",609 "lines": 29,610 "truncated": false,611 "block": 20,612 "row": 14542613 },614 {615 "path": "dataAnalysis/patientData/bloodValues/CRP.py",616 "sha256": "2bb9bc8b0d5b6846ff65763ebd0f732abf09fae216c6c6fdb6e8d8da1996134b",617 "language": "Python",618 "lines": 6,619 "truncated": false,620 "block": 20,621 "row": 12607622 },623 {624 "path": "dataAnalysis/patientData/bloodValues/HGB.py",625 "sha256": "17e360579a51ba3b43e2c2db79112cb2970581e3bd4f53c88bee46fb8f04d2be",626 "language": "Python",627 "lines": 6,628 "truncated": false,629 "block": 20,630 "row": 12618631 },632 {633 "path": "dataAnalysis/patientData/bloodValues/MCV.py",634 "sha256": "e48da3b71a13c71bbf875cb60735c231032abd5e7b0380bf4b3d80b0802699b0",635 "language": "Python",636 "lines": 6,637 "truncated": false,638 "block": 20,639 "row": 12616640 },641 {642 "path": "dataAnalysis/patientData/bloodValues/PCT.py",643 "sha256": "4680e1a7e4187a97e156d308b3e346cd3868970104a80b3e25c2c87eb22c60e2",644 "language": "Python",645 "lines": 6,646 "truncated": false,647 "block": 20,648 "row": 12608649 },650 {651 "path": "dataAnalysis/patientData/bloodValues/PLT.py",652 "sha256": "4f2855ef3596ab9dc4c807f59a7dfeaad619e1fc007e739194923c9fb6fae0a4",653 "language": "Python",654 "lines": 6,655 "truncated": false,656 "block": 20,657 "row": 12610658 },659 {660 "path": "dataAnalysis/patientData/bloodValues/RBC.py",661 "sha256": "46dac3ec96a4ebc0a480a3bc341f578a77720ada13ee7419fb1127c6c143bc61",662 "language": "Python",663 "lines": 6,664 "truncated": false,665 "block": 20,666 "row": 12609667 },668 {669 "path": "dataAnalysis/patientData/bloodValues/WBC.py",670 "sha256": "e47cf6da4d5ffecf19e6023b08273f0a6368b4c8c9c64ece3d1a37055028ad35",671 "language": "Python",672 "lines": 53,673 "truncated": false,674 "block": 20,675 "row": 15348676 },677 {678 "path": "dataAnalysis/scorer/AUROC.py",679 "sha256": "e17fd44ae5de848989ffaeff89556fa3f95f1d583909673cf95ea3e0b5829560",680 "language": "Python",681 "lines": 7,682 "truncated": false,683 "block": 20,684 "row": 12615685 },686 {687 "path": "dataAnalysis/scorer/MinRecallPrecision.py",688 "sha256": "c83cd9f94f0e8871e239f1ba67608d168dfa81ff7016f32b740d3c1bbdba2b24",689 "language": "Python",690 "lines": 7,691 "truncated": false,692 "block": 20,693 "row": 12862694 },695 {696 "path": "feature_variation/.ipynb_checkpoints/FeatureVariation-HetGNN-checkpoint.ipynb",697 "sha256": "c94af29d6da3262c8bfc47ccac2bd2084b3ae388c811a558c726c90c9504df8e",698 "language": "Jupyter",699 "lines": 238,700 "truncated": false,701 "block": 20,702 "row": 8136703 },704 {705 "path": "feature_variation/.ipynb_checkpoints/FeatureVariation-HomoGNN-checkpoint.ipynb",706 "sha256": "b1cfe6fa7fd235d6036243a0f3c78514938d57ac4b8a5b754ddabbc76db18a3f",707 "language": "Jupyter",708 "lines": 108,709 "truncated": false,710 "block": 20,711 "row": 7825712 },713 {714 "path": "feature_variation/.ipynb_checkpoints/FeatureVariation-NeuralNetwork-checkpoint.ipynb",715 "sha256": "177c604860d71d64343e8abeb214a17343f8457d0d338fae3db8bfd8462eee11",716 "language": "Jupyter",717 "lines": 315,718 "truncated": false,719 "block": 20,720 "row": 8254721 },722 {723 "path": "feature_variation/.ipynb_checkpoints/FeatureWiseImportance-checkpoint.ipynb",724 "sha256": "89d17a444108ddea4267667876157f3eb5623382a99ebc8dfad028935b006ee6",725 "language": "Jupyter",726 "lines": 232,727 "truncated": false,728 "block": 20,729 "row": 8246730 },731 {732 "path": "feature_variation/.ipynb_checkpoints/PartialDependence-checkpoint.py",733 "sha256": "bbb87a39f18c10814000f17fff1ae2c6d8da6534b2da0142bd6c5c6fa7d8609d",734 "language": "Python",735 "lines": 98,736 "truncated": false,737 "block": 20,738 "row": 17829739 },740 {741 "path": "feature_variation/FeatureVariation-HetGNN.ipynb",742 "sha256": "a50586e917992d17874db13296c55edb90bd958dbf817a286046f53f02af84f9",743 "language": "Jupyter",744 "lines": 277,745 "truncated": false,746 "block": 20,747 "row": 8197748 },749 {750 "path": "feature_variation/FeatureVariation-HomoGNN.ipynb",751 "sha256": "13433ae7c9ae143d18a5a14fb0c2c6b46259f3f9dc9bbd2974068a78afd6288c",752 "language": "Jupyter",753 "lines": 108,754 "truncated": false,755 "block": 20,756 "row": 7829757 },758 {759 "path": "feature_variation/FeatureVariation-NeuralNetwork.ipynb",760 "sha256": "9b8bfbb621cdb16a539df7658fc784e29090a918e47c8a71e533a55ececdb403",761 "language": "Jupyter",762 "lines": 312,763 "truncated": false,764 "block": 20,765 "row": 8241766 },767 {768 "path": "feature_variation/FeatureWiseImportance.ipynb",769 "sha256": "1c4ea27b2814e42c53775e9d05854838436e9286a0fe9e27b3d0dbf8c8aebff1",770 "language": "Jupyter",771 "lines": 260,772 "truncated": false,773 "block": 20,774 "row": 8316775 },776 {777 "path": "feature_variation/PartialDependence.py",778 "sha256": "bbb87a39f18c10814000f17fff1ae2c6d8da6534b2da0142bd6c5c6fa7d8609d",779 "language": "Python",780 "lines": 98,781 "truncated": false,782 "block": 20,783 "row": 17829784 },785 {786 "path": "graph_learning/.ipynb_checkpoints/GAT_Directed_AttentionScores-checkpoint.ipynb",787 "sha256": "ad0f6b242ef5882e289cee9e50ca005c661f31273d70fcdfb402fb8d533bf1c5",788 "language": "Jupyter",789 "lines": 288,790 "truncated": false,791 "block": 20,792 "row": 8242793 },794 {795 "path": "graph_learning/.ipynb_checkpoints/Write-Patient-Centric_Edge_index-checkpoint.ipynb",796 "sha256": "f1de1886627b80394c8112059c3f2fd86978813580dab013f2b303ea6ee4237c",797 "language": "Jupyter",798 "lines": 79,799 "truncated": false,800 "block": 20,801 "row": 7766802 },803 {804 "path": "graph_learning/GAT_Directed_AttentionScores.ipynb",805 "sha256": "e0b950df89948ebccbb69cf7cd5995aecb1125fab50a1730bee94775eeabda5a",806 "language": "Jupyter",807 "lines": 290,808 "truncated": false,809 "block": 20,810 "row": 8247811 },812 {813 "path": "graph_learning/heterogeneous/.ipynb_checkpoints/HeterogeneousGNN-GAT-2heads-checkpoint.ipynb",814 "sha256": "dcd81da826cd37b144ebe6de5916b9727cb6e19af726b99869bb51ca794cbb68",815 "language": "Jupyter",816 "lines": 354,817 "truncated": false,818 "block": 20,819 "row": 8325820 },821 {822 "path": "graph_learning/heterogeneous/.ipynb_checkpoints/HeterogeneousGNN-GAT-checkpoint.ipynb",823 "sha256": "f1e04dbea87f3707cfa32891af495fd22d86eef2c7703f1069784be6cb313100",824 "language": "Jupyter",825 "lines": 354,826 "truncated": false,827 "block": 20,828 "row": 8324829 },830 {831 "path": "graph_learning/heterogeneous/.ipynb_checkpoints/HeterogeneousGNN-GATv2-1head-checkpoint.ipynb",832 "sha256": "7cd6792aea3b12271f03e428a720367c4dc11185aaad435cca94737403fd9627",833 "language": "Jupyter",834 "lines": 392,835 "truncated": false,836 "block": 20,837 "row": 8375838 },839 {840 "path": "graph_learning/heterogeneous/.ipynb_checkpoints/HeterogeneousGNN-GATv2-2heads-checkpoint.ipynb",841 "sha256": "bc8caa3fa04a820d06c8a32421da8b5b1e0edd3badb4d83884c132774b4f9c36",842 "language": "Jupyter",843 "lines": 354,844 "truncated": false,845 "block": 20,846 "row": 8326847 },848 {849 "path": "graph_learning/heterogeneous/.ipynb_checkpoints/HeterogeneousGNN-GIN-checkpoint.ipynb",850 "sha256": "e872027a3b36c9d0b207432c3cbce76e09f78f5be2c42e04bc20f2635563259c",851 "language": "Jupyter",852 "lines": 363,853 "truncated": false,854 "block": 20,855 "row": 8329856 },857 {858 "path": "graph_learning/heterogeneous/.ipynb_checkpoints/HeterogeneousGNN-HAN-checkpoint.ipynb",859 "sha256": "4e04c192dfc3e8771d035046b57e2ed48d22dfad6d1c52da98617df9772d503a",860 "language": "Jupyter",861 "lines": 362,862 "truncated": false,863 "block": 20,864 "row": 8331865 },866 {867 "path": "graph_learning/heterogeneous/.ipynb_checkpoints/HeterogeneousGNN-HGT-checkpoint.ipynb",868 "sha256": "3d65888d728001a8e142bd032e557443f94d077d26735b33f3e8564d4ac5028e",869 "language": "Jupyter",870 "lines": 362,871 "truncated": false,872 "block": 20,873 "row": 8332874 },875 {876 "path": "graph_learning/heterogeneous/.ipynb_checkpoints/HeterogeneousGNN-SAGEConv-Noise 10-checkpoint.ipynb",877 "sha256": "82a7a5ef5efd3f9b43c524b358eed5de85bb9b2ae64388bed905fd0a22e34716",878 "language": "Jupyter",879 "lines": 396,880 "truncated": false,881 "block": 20,882 "row": 8360883 },884 {885 "path": "graph_learning/heterogeneous/.ipynb_checkpoints/HeterogeneousGNN-SAGEConv-Noise 100-checkpoint.ipynb",886 "sha256": "7f1e5eaaacc324dabed3c1f54394a1d98caa5adf866d30b7e5479ba10359700b",887 "language": "Jupyter",888 "lines": 396,889 "truncated": false,890 "block": 20,891 "row": 8384892 },893 {894 "path": "graph_learning/heterogeneous/.ipynb_checkpoints/HeterogeneousGNN-SAGEConv-checkpoint.ipynb",895 "sha256": "8cf28de5de7e9546be39e01abc03f213710cccf2390b7cf40192ff3def4489be",896 "language": "Jupyter",897 "lines": 442,898 "truncated": false,899 "block": 20,900 "row": 8395901 },902 {903 "path": "graph_learning/heterogeneous/HeterogeneousGNN-GAT-2heads.ipynb",904 "sha256": "dcd81da826cd37b144ebe6de5916b9727cb6e19af726b99869bb51ca794cbb68",905 "language": "Jupyter",906 "lines": 354,907 "truncated": false,908 "block": 20,909 "row": 8325910 },911 {912 "path": "graph_learning/heterogeneous/HeterogeneousGNN-GAT.ipynb",913 "sha256": "f1e04dbea87f3707cfa32891af495fd22d86eef2c7703f1069784be6cb313100",914 "language": "Jupyter",915 "lines": 354,916 "truncated": false,917 "block": 20,918 "row": 8324919 },920 {921 "path": "graph_learning/heterogeneous/HeterogeneousGNN-GATv2-1head.ipynb",922 "sha256": "7cd6792aea3b12271f03e428a720367c4dc11185aaad435cca94737403fd9627",923 "language": "Jupyter",924 "lines": 392,925 "truncated": false,926 "block": 20,927 "row": 8375928 },929 {930 "path": "graph_learning/heterogeneous/HeterogeneousGNN-GATv2-2heads.ipynb",931 "sha256": "bc8caa3fa04a820d06c8a32421da8b5b1e0edd3badb4d83884c132774b4f9c36",932 "language": "Jupyter",933 "lines": 354,934 "truncated": false,935 "block": 20,936 "row": 8326937 },938 {939 "path": "graph_learning/heterogeneous/HeterogeneousGNN-GIN.ipynb",940 "sha256": "e872027a3b36c9d0b207432c3cbce76e09f78f5be2c42e04bc20f2635563259c",941 "language": "Jupyter",942 "lines": 363,943 "truncated": false,944 "block": 20,945 "row": 8329946 },947 {948 "path": "graph_learning/heterogeneous/HeterogeneousGNN-HAN.ipynb",949 "sha256": "4e04c192dfc3e8771d035046b57e2ed48d22dfad6d1c52da98617df9772d503a",950 "language": "Jupyter",951 "lines": 362,952 "truncated": false,953 "block": 20,954 "row": 8331955 },956 {957 "path": "graph_learning/heterogeneous/HeterogeneousGNN-HGT.ipynb",958 "sha256": "3d65888d728001a8e142bd032e557443f94d077d26735b33f3e8564d4ac5028e",959 "language": "Jupyter",960 "lines": 362,961 "truncated": false,962 "block": 20,963 "row": 8332964 },965 {966 "path": "graph_learning/heterogeneous/HeterogeneousGNN-SAGEConv-Noise 10.ipynb",967 "sha256": "82a7a5ef5efd3f9b43c524b358eed5de85bb9b2ae64388bed905fd0a22e34716",968 "language": "Jupyter",969 "lines": 396,970 "truncated": false,971 "block": 20,972 "row": 8360973 },974 {975 "path": "graph_learning/heterogeneous/HeterogeneousGNN-SAGEConv-Noise 100.ipynb",976 "sha256": "7f1e5eaaacc324dabed3c1f54394a1d98caa5adf866d30b7e5479ba10359700b",977 "language": "Jupyter",978 "lines": 396,979 "truncated": false,980 "block": 20,981 "row": 8384982 },983 {984 "path": "graph_learning/heterogeneous/HeterogeneousGNN-SAGEConv.ipynb",985 "sha256": "14bd1a391a3aed49f0dc5c139f2d2453100c5d0a4fb02c690b9319ebeaa2e7cc",986 "language": "Jupyter",987 "lines": 451,988 "truncated": false,989 "block": 20,990 "row": 8398991 },992 {993 "path": "graph_learning/homogeneous/.ipynb_checkpoints/HomogeneousGNN-GAT-2 heads-checkpoint.ipynb",994 "sha256": "8c9735a4bf1994a733a9b3fcae2f27efeeeddb41af265c9d291c8a2e23d93778",995 "language": "Jupyter",996 "lines": 371,997 "truncated": false,998 "block": 20,999 "row": 82841000 },1001 {1002 "path": "graph_learning/homogeneous/.ipynb_checkpoints/HomogeneousGNN-GAT-checkpoint.ipynb",1003 "sha256": "a652c92cde9d8eba1660da8257615f77a32dca6d5c0d7ea9368fb7059ab29c26",1004 "language": "Jupyter",1005 "lines": 371,1006 "truncated": false,1007 "block": 20,1008 "row": 82851009 },1010 {1011 "path": "graph_learning/homogeneous/.ipynb_checkpoints/HomogeneousGNN-GATv2-2heads-checkpoint.ipynb",1012 "sha256": "24658ef948b958e48e5d3904b27328791600863ff562f8db6df4f8f4dda0a3e6",1013 "language": "Jupyter",1014 "lines": 371,1015 "truncated": false,1016 "block": 20,1017 "row": 82861018 },1019 {1020 "path": "graph_learning/homogeneous/.ipynb_checkpoints/HomogeneousGNN-GATv2-checkpoint.ipynb",1021 "sha256": "4db36bddea2dbf6ff9ef0eccc2dd4123a25b5a9f480f62543aa7498538084a26",1022 "language": "Jupyter",1023 "lines": 371,1024 "truncated": false,1025 "block": 20,1026 "row": 82871027 },1028 {1029 "path": "graph_learning/homogeneous/.ipynb_checkpoints/HomogeneousGNN-GIN-checkpoint.ipynb",1030 "sha256": "bca28bbf92fc6778d85edacf376e63d1d888ad2f2290e32f9810d1ea76b85c78",1031 "language": "Jupyter",1032 "lines": 383,1033 "truncated": false,1034 "block": 20,1035 "row": 83091036 },1037 {1038 "path": "graph_learning/homogeneous/.ipynb_checkpoints/HomogeneousGNN-SAGE-Noise 10-checkpoint.ipynb",1039 "sha256": "2c15fa628f93f1ec2975366b05c9021646f23deda67e839e742632f77755ba02",1040 "language": "Jupyter",1041 "lines": 263,1042 "truncated": false,1043 "block": 20,1044 "row": 81081045 },1046 {1047 "path": "graph_learning/homogeneous/.ipynb_checkpoints/HomogeneousGNN-SAGE-Noise 100-checkpoint.ipynb",1048 "sha256": "6675eb9463d85142e4c1581d1fded57bd2b6c4f9c5edc3dbb0c0802993673d72",1049 "language": "Jupyter",1050 "lines": 263,1051 "truncated": false,1052 "block": 20,1053 "row": 81561054 },1055 {1056 "path": "graph_learning/homogeneous/.ipynb_checkpoints/HomogeneousGNN-SAGE-checkpoint.ipynb",1057 "sha256": "3e34718982f9499d17bbf009b604344239c8bf46d7d7dd5c891bee8861cbb2c8",1058 "language": "Jupyter",1059 "lines": 293,1060 "truncated": false,1061 "block": 20,1062 "row": 81481063 },1064 {1065 "path": "graph_learning/homogeneous/HomogeneousGNN-GAT-2 heads.ipynb",1066 "sha256": "8c9735a4bf1994a733a9b3fcae2f27efeeeddb41af265c9d291c8a2e23d93778",1067 "language": "Jupyter",1068 "lines": 371,1069 "truncated": false,1070 "block": 20,1071 "row": 82841072 },1073 {1074 "path": "graph_learning/homogeneous/HomogeneousGNN-GAT.ipynb",1075 "sha256": "a652c92cde9d8eba1660da8257615f77a32dca6d5c0d7ea9368fb7059ab29c26",1076 "language": "Jupyter",1077 "lines": 371,1078 "truncated": false,1079 "block": 20,1080 "row": 82851081 },1082 {1083 "path": "graph_learning/homogeneous/HomogeneousGNN-GATv2-2heads.ipynb",1084 "sha256": "c84aca75b6c9834622a68d8f32936164a58a21a79967a22006349d2224dad7e8",1085 "language": "Jupyter",1086 "lines": 371,1087 "truncated": false,1088 "block": 20,1089 "row": 82881090 },1091 {1092 "path": "graph_learning/homogeneous/HomogeneousGNN-GATv2.ipynb",1093 "sha256": "4db36bddea2dbf6ff9ef0eccc2dd4123a25b5a9f480f62543aa7498538084a26",1094 "language": "Jupyter",1095 "lines": 371,1096 "truncated": false,1097 "block": 20,1098 "row": 82871099 },1100 {1101 "path": "graph_learning/homogeneous/HomogeneousGNN-GIN.ipynb",1102 "sha256": "bca28bbf92fc6778d85edacf376e63d1d888ad2f2290e32f9810d1ea76b85c78",1103 "language": "Jupyter",1104 "lines": 383,1105 "truncated": false,1106 "block": 20,1107 "row": 83091108 },1109 {1110 "path": "graph_learning/homogeneous/HomogeneousGNN-SAGE-Noise 10.ipynb",1111 "sha256": "2c15fa628f93f1ec2975366b05c9021646f23deda67e839e742632f77755ba02",1112 "language": "Jupyter",1113 "lines": 263,1114 "truncated": false,1115 "block": 20,1116 "row": 81081117 },1118 {1119 "path": "graph_learning/homogeneous/HomogeneousGNN-SAGE-Noise 100.ipynb",1120 "sha256": "6675eb9463d85142e4c1581d1fded57bd2b6c4f9c5edc3dbb0c0802993673d72",1121 "language": "Jupyter",1122 "lines": 263,1123 "truncated": false,1124 "block": 20,1125 "row": 81561126 },1127 {1128 "path": "graph_learning/homogeneous/HomogeneousGNN-SAGE.ipynb",1129 "sha256": "3e34718982f9499d17bbf009b604344239c8bf46d7d7dd5c891bee8861cbb2c8",1130 "language": "Jupyter",1131 "lines": 293,1132 "truncated": false,1133 "block": 20,1134 "row": 81481135 },1136 {1137 "path": "graph_learning/patient_centric/.ipynb_checkpoints/Directed-Patient-Centric-Graph-With-Positional-Encodings-checkpoint.ipynb",1138 "sha256": "4880d6dfcc2466a36bcee793bbcec8f0c5d0b4eb43a905de6f6e113b3a4f5971",1139 "language": "Jupyter",1140 "lines": 354,1141 "truncated": false,1142 "block": 20,1143 "row": 82991144 },1145 {1146 "path": "graph_learning/patient_centric/.ipynb_checkpoints/Directed-Patient-Centric-Graph-Without-Positional-Encodings-checkpoint.ipynb",1147 "sha256": "f3ff697c44bb7be4a53fba8abc139d28a73f29632152db4b9b14b0f0b16d23fb",1148 "language": "Jupyter",1149 "lines": 338,1150 "truncated": false,1151 "block": 20,1152 "row": 83061153 },1154 {1155 "path": "graph_learning/patient_centric/.ipynb_checkpoints/Rev-directed-Patient-Centric-Graph-With-Positional-Encodings-checkpoint.ipynb",1156 "sha256": "91dff697d95d7a60d53b1f829777ab739cc5bc45e3b40fedaf10729e75507db4",1157 "language": "Jupyter",1158 "lines": 326,1159 "truncated": false,1160 "block": 20,1161 "row": 82131162 },1163 {1164 "path": "graph_learning/patient_centric/.ipynb_checkpoints/Rev-directed-Patient-Centric-Graph-Without-Positional-Encodings-checkpoint.ipynb",1165 "sha256": "db9faca923e8708f5689da0ed554ea9f07390099bcc57d8408e5fb30de416c79",1166 "language": "Jupyter",1167 "lines": 341,1168 "truncated": false,1169 "block": 20,1170 "row": 83131171 },1172 {1173 "path": "graph_learning/patient_centric/.ipynb_checkpoints/Undirected-Patient-Centric-Graph-With-Positional-Encodings-checkpoint.ipynb",1174 "sha256": "b5445a578cc43d83a6439ec0f00e01c1c068ace7ae6b83e1b4b87a824453bf4b",1175 "language": "Jupyter",1176 "lines": 308,1177 "truncated": false,1178 "block": 20,1179 "row": 81931180 },1181 {1182 "path": "graph_learning/patient_centric/.ipynb_checkpoints/Undirected-Patient-Centric-Graph-Without-Positional-Encodings-checkpoint.ipynb",1183 "sha256": "02cfb347cff591fb975976408b3dab5999906d948f8272ee3153d794a2a6c190",1184 "language": "Jupyter",1185 "lines": 319,1186 "truncated": false,1187 "block": 20,1188 "row": 82681189 },1190 {1191 "path": "graph_learning/patient_centric/.ipynb_checkpoints/Untitled-checkpoint.ipynb",1192 "sha256": "01ba4719c80b6fe911b091a7c05124b64eeece964e09c058ef8f9805daca546b",1193 "language": "Jupyter",1194 "lines": 1,1195 "truncated": false,1196 "block": 1,1197 "row": 49561198 },1199 {1200 "path": "graph_learning/patient_centric/Directed-Patient-Centric-Graph-With-Positional-Encodings.ipynb",