Team Ai
Datasetpublic

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.

sourceHugging Faceotherupdated 2d agoView on Hugging Face
0likes5.6kdownloads
github.com__stelong__gperks.json597 linesDownload Raw Back to ee
1{2 "format": "oscr-script-manifest/1",3 "repository": "github.com/stelong/gperks",4 "url": "https://github.com/stelong/GPErks",5 "host": "github.com",6 "commit": "f46ec3c142eeff79ce415d9438eb9c36d70813a0",7 "license": "MIT",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11  {12   "path": "GPErks/__init__.py",13   "sha256": "a435d63beb7c9ec70bf444ac004326bcc7de56dc50bebe0b5153a87dddb0478a",14   "language": "Python",15   "lines": 3,16   "truncated": false,17   "block": 6,18   "row": 2059719  },20  {21   "path": "GPErks/constants.py",22   "sha256": "4a0fae236fdc104dab9b510d394bbeaf8c2944a56a7561992cf1ad5e2013a2b2",23   "language": "Python",24   "lines": 57,25   "truncated": false,26   "block": 6,27   "row": 2854428  },29  {30   "path": "GPErks/gp/data/data_scaler.py",31   "sha256": "86886cc696cd971cd307f15287fd8ff7239385137fbe1397cae8cfce261e27ff",32   "language": "Python",33   "lines": 96,34   "truncated": false,35   "block": 6,36   "row": 3257837  },38  {39   "path": "GPErks/gp/data/dataset.py",40   "sha256": "763b32f156abb96377e79b1cec31daaaa07716ac97f6e22379cf4570df232828",41   "language": "Python",42   "lines": 264,43   "truncated": false,44   "block": 7,45   "row": 181046  },47  {48   "path": "GPErks/gp/data/scaled_data.py",49   "sha256": "5eb76f7e2bed7bfb282a7f45f96ec25262f434b8dc8e4b6731ba8e77aeb15131",50   "language": "Python",51   "lines": 30,52   "truncated": false,53   "block": 6,54   "row": 2572355  },56  {57   "path": "GPErks/gp/experiment.py",58   "sha256": "55c240fa6635a09241bfc66c2d8473f6cf27f6953fcfc6a6942b76a3e90b3f93",59   "language": "Python",60   "lines": 160,61   "truncated": false,62   "block": 6,63   "row": 4165764  },65  {66   "path": "GPErks/gp/mean.py",67   "sha256": "251aa2a7ad64ee405d9d085d79d3c809e050cdc991c2ff599f494beda25f3e45",68   "language": "Python",69   "lines": 36,70   "truncated": false,71   "block": 6,72   "row": 2593773  },74  {75   "path": "GPErks/gp/model.py",76   "sha256": "92d38adbfea422a6f68d299ef3f988f745ff03a4e2e13fb3015d569c522c3f5d",77   "language": "Python",78   "lines": 21,79   "truncated": false,80   "block": 6,81   "row": 2359182  },83  {84   "path": "GPErks/log/logger.py",85   "sha256": "077c16fb350f8fdbbe7dd4900a0b268fb02d7abc05d120c4d6c2d7937f25f92c",86   "language": "Python",87   "lines": 34,88   "truncated": false,89   "block": 6,90   "row": 2448291  },92  {93   "path": "GPErks/perks/cross_validation.py",94   "sha256": "143022d1c2d2960c9ca469c93713949592e35b9e7ebccfc82b50ad983602438b",95   "language": "Python",96   "lines": 274,97   "truncated": false,98   "block": 7,99   "row": 2058100  },101  {102   "path": "GPErks/perks/diagnostics.py",103   "sha256": "bf3494a6650aabb1085a0f9b6301f7700d6ba5d9e5e487970a3724a393520d23",104   "language": "Python",105   "lines": 206,106   "truncated": false,107   "block": 6,108   "row": 44363109  },110  {111   "path": "GPErks/perks/gsa.py",112   "sha256": "0ec4def6ca468803a700e3a09ab6445d59abb059e56cd330c6b9e53156659dc9",113   "language": "Python",114   "lines": 148,115   "truncated": false,116   "block": 6,117   "row": 40766118  },119  {120   "path": "GPErks/perks/history_matching.py",121   "sha256": "edd713bf5e7083dcd731bd64f0a603db2317bf1e45ac0d42b93e6424a1c5b763",122   "language": "Python",123   "lines": 319,124   "truncated": false,125   "block": 7,126   "row": 3155127  },128  {129   "path": "GPErks/perks/inference.py",130   "sha256": "d880fd99523224d1e07e152464e13343be545000138086456d5b11bbde263d61",131   "language": "Python",132   "lines": 184,133   "truncated": false,134   "block": 6,135   "row": 42841136  },137  {138   "path": "GPErks/plot/gsa.py",139   "sha256": "174f1fe5844a2fe0475da6d945774399a0a85ac1b44ce8ecc245b6adaeff16d4",140   "language": "Python",141   "lines": 85,142   "truncated": false,143   "block": 6,144   "row": 32114145  },146  {147   "path": "GPErks/plot/mean.py",148   "sha256": "42dbe0ce18833ea17f394c10d5498eb971f265ac8734abd606710c57d6ed49fc",149   "language": "Python",150   "lines": 82,151   "truncated": false,152   "block": 6,153   "row": 35681154  },155  {156   "path": "GPErks/plot/options.py",157   "sha256": "6509a3eaf131e7d99b88b65046e5d1c4153473d1de6820abc76fb4f0aa2f54d0",158   "language": "Python",159   "lines": 2,160   "truncated": false,161   "block": 6,162   "row": 20212163  },164  {165   "path": "GPErks/plot/plottable.py",166   "sha256": "257ce32d2f0f6cff252f814df533a1e32cdd07cf67078fec3c64ba2f2ad38e2b",167   "language": "Python",168   "lines": 12,169   "truncated": false,170   "block": 6,171   "row": 21492172  },173  {174   "path": "GPErks/serialization/config.py",175   "sha256": "aab08d64c1f8727ca0c0fc98c0e5f25a52b4805673b92abf7f725487a53d2247",176   "language": "Python",177   "lines": 24,178   "truncated": false,179   "block": 6,180   "row": 23261181  },182  {183   "path": "GPErks/serialization/labels.py",184   "sha256": "da56c0d9a620a2284ae5e4e6f593c943ebe948a185f03851b02cc976f5e4087f",185   "language": "Python",186   "lines": 3,187   "truncated": false,188   "block": 6,189   "row": 20800190  },191  {192   "path": "GPErks/serialization/path.py",193   "sha256": "91cf118316bdde4807d17d1b60948fbcc16a06a5211b5e92ad73ad971e4e9559",194   "language": "Python",195   "lines": 5,196   "truncated": false,197   "block": 6,198   "row": 20719199  },200  {201   "path": "GPErks/serialization/runtime.py",202   "sha256": "589c35574702e2e1451f903a9859f069b9e5bc54633491729d0ae1a8ed1c3ee4",203   "language": "Python",204   "lines": 48,205   "truncated": false,206   "block": 6,207   "row": 31061208  },209  {210   "path": "GPErks/train/early_stop.py",211   "sha256": "85d7872ed51a17e2c882abb2afc29150e6bb7764354ef4ccf910e85dd3f156b5",212   "language": "Python",213   "lines": 476,214   "truncated": false,215   "block": 7,216   "row": 6912217  },218  {219   "path": "GPErks/train/emulator.py",220   "sha256": "3dbef9c6e3f1df54d5ef6aa86ad9999f34c98ba909d68c2e23c4c6fd43be764f",221   "language": "Python",222   "lines": 443,223   "truncated": false,224   "block": 7,225   "row": 7187226  },227  {228   "path": "GPErks/train/snapshot.py",229   "sha256": "e540c01bbbfc972ef3ffe22f9d497884fbfa2bf5c07141fbda0fce58fd835413",230   "language": "Python",231   "lines": 90,232   "truncated": false,233   "block": 6,234   "row": 35190235  },236  {237   "path": "GPErks/train/train_stats.py",238   "sha256": "66dcc425abae27f8a5432b95603c2abc18b99f0abad5e20529ff92fe8a3eb9ed",239   "language": "Python",240   "lines": 97,241   "truncated": false,242   "block": 6,243   "row": 36543244  },245  {246   "path": "GPErks/train/trainable.py",247   "sha256": "f3b636d2a98d9e6569cc524ec4fa6180e4a4c8aad9f0ad26c10b1abf2235f87d",248   "language": "Python",249   "lines": 15,250   "truncated": false,251   "block": 6,252   "row": 22219253  },254  {255   "path": "GPErks/utils/array.py",256   "sha256": "7891dc91c2da78a2b975baeb1abd73b59f6bea9eb840df16389aaa922139c8fb",257   "language": "Python",258   "lines": 13,259   "truncated": false,260   "block": 6,261   "row": 21270262  },263  {264   "path": "GPErks/utils/concurrency.py",265   "sha256": "c4c8d98508bf5c960378c49a6e65c8e1a4394590951b5bec518f399d3762fef9",266   "language": "Python",267   "lines": 22,268   "truncated": false,269   "block": 6,270   "row": 24078271  },272  {273   "path": "GPErks/utils/indices.py",274   "sha256": "18f8c458a3e169347cf589092b6b7f6e44f6dc53787f640b8d2b1d8c78eda51f",275   "language": "Python",276   "lines": 103,277   "truncated": false,278   "block": 6,279   "row": 34548280  },281  {282   "path": "GPErks/utils/jsonfiles.py",283   "sha256": "fa1eaaf8df0ae5de1bdb303fff4caf55531dc5ccd4e9651fc970e692e156c89f",284   "language": "Python",285   "lines": 60,286   "truncated": false,287   "block": 6,288   "row": 30752289  },290  {291   "path": "GPErks/utils/metrics.py",292   "sha256": "fe018451e238a59b3e9899e5265d2c41c8729eeb20080c02a35a33e67ae1599d",293   "language": "Python",294   "lines": 22,295   "truncated": false,296   "block": 6,297   "row": 23227298  },299  {300   "path": "GPErks/utils/plotting.py",301   "sha256": "6099b6ef273d49a0d7f796dc21dc368d320b0075145a9b210ed092d9b3f5360d",302   "language": "Python",303   "lines": 61,304   "truncated": false,305   "block": 6,306   "row": 33738307  },308  {309   "path": "GPErks/utils/polynomialfeatures.py",310   "sha256": "b243e2a51f4cddb0b83a7c9aacc5b2e11b8aaee38fde6967cc0349a8cf750887",311   "language": "Python",312   "lines": 42,313   "truncated": false,314   "block": 6,315   "row": 25814316  },317  {318   "path": "GPErks/utils/random.py",319   "sha256": "976cef61a9088d1cb2f85745fd5cad288b441d5969047ed27799f5e69fc62bed",320   "language": "Python",321   "lines": 36,322   "truncated": false,323   "block": 6,324   "row": 24824325  },326  {327   "path": "GPErks/utils/sampling.py",328   "sha256": "b57fb3effc1931e3ad77e3d39b53539ff47fd0871958530f494d1b700978e518",329   "language": "Python",330   "lines": 32,331   "truncated": false,332   "block": 6,333   "row": 25348334  },335  {336   "path": "GPErks/utils/test_functions.py",337   "sha256": "6d0551fa4cf8db8bf17aed2482dd3bbdaae94130267e0dd0dc872df6e1a0f8ee",338   "language": "Python",339   "lines": 55,340   "truncated": false,341   "block": 6,342   "row": 26765343  },344  {345   "path": "GPErks/utils/test_functions_gsa.py",346   "sha256": "213f9aa472946ba3b8687bd14d73fc8665dc6414e20bd38961e354ddcd3d6a84",347   "language": "Python",348   "lines": 131,349   "truncated": false,350   "block": 6,351   "row": 37954352  },353  {354   "path": "GPErks/utils/time.py",355   "sha256": "3f9c4589d5c9cc3c0f0dec499b720c59e4d5f16720207382abe8d4043c145265",356   "language": "Python",357   "lines": 21,358   "truncated": false,359   "block": 6,360   "row": 22406361  },362  {363   "path": "LICENSE",364   "sha256": "80048fcdff12457bf857fcba0b85053895f53a53a384469c1fba8bc4c7c4e58f",365   "language": "License",366   "lines": 21,367   "truncated": false,368   "block": 6,369   "row": 1854370  },371  {372   "path": "README.md",373   "sha256": "38608c296a8051144635f18a9c9adb9d9b2c114292ccfa48e1d331d8bc3b3236",374   "language": "Text",375   "lines": 75,376   "truncated": false,377   "block": 8,378   "row": 9963379  },380  {381   "path": "examples/example_1.py",382   "sha256": "ecd561eaa79ae71d84bf5ba07dd6c69083b94c151a033a2452ebb7e07e33b00c",383   "language": "Python",384   "lines": 166,385   "truncated": false,386   "block": 6,387   "row": 41426388  },389  {390   "path": "examples/example_10.py",391   "sha256": "81ff3d1d72c1bcc64d90ba0e5da4de7ca63e4e83e1f1c5fa4dbe8ad96f731db7",392   "language": "Python",393   "lines": 179,394   "truncated": false,395   "block": 6,396   "row": 43016397  },398  {399   "path": "examples/example_11.py",400   "sha256": "8c1e2f74d15e3876acbc7aa24d524240ec51091c0cce742a51c7a49a9460baaf",401   "language": "Python",402   "lines": 223,403   "truncated": false,404   "block": 7,405   "row": 2519406  },407  {408   "path": "examples/example_2.py",409   "sha256": "f2e3df3a84acf51f4e975453156830d83e7fa06e156ce0fb29dfcecd0a5a93d7",410   "language": "Python",411   "lines": 117,412   "truncated": false,413   "block": 6,414   "row": 36958415  },416  {417   "path": "examples/example_3.py",418   "sha256": "424be2edb1a80ac991932220001a40e519786f2ddd4c05eb32a23a4ba09361eb",419   "language": "Python",420   "lines": 143,421   "truncated": false,422   "block": 6,423   "row": 40178424  },425  {426   "path": "examples/example_4.py",427   "sha256": "1e61ed348f6fa5a80453abcfd5e6087e6e5a6cd66d8586f112bf3eb15fea4729",428   "language": "Python",429   "lines": 171,430   "truncated": false,431   "block": 6,432   "row": 44364433  },434  {435   "path": "examples/example_5.py",436   "sha256": "be6d2cc1169a48e6c565a73624be14ac499e6ee8d961effd094b0582d6c83a3e",437   "language": "Python",438   "lines": 121,439   "truncated": false,440   "block": 6,441   "row": 39294442  },443  {444   "path": "examples/example_6.py",445   "sha256": "a3fcad4bde42c8e2e9a3d5c5109c880f7087bf2183c51c87b00e9bd90f593964",446   "language": "Python",447   "lines": 155,448   "truncated": false,449   "block": 6,450   "row": 41790451  },452  {453   "path": "examples/example_7.py",454   "sha256": "3224847f6de80e6a2538c101eaa2ba110f64cf88244a2cd40dccaae090eaf3bf",455   "language": "Python",456   "lines": 168,457   "truncated": false,458   "block": 6,459   "row": 42132460  },461  {462   "path": "examples/example_8.py",463   "sha256": "232dfbd9a23b3b1a4c24d31c228cfb6163e024f4393782bfec85021f28030552",464   "language": "Python",465   "lines": 89,466   "truncated": false,467   "block": 6,468   "row": 38049469  },470  {471   "path": "examples/example_9.py",472   "sha256": "74a4b99e8eeded5862f161ccafe4174656676ded89d20df16c34bea2b99ba048",473   "language": "Python",474   "lines": 94,475   "truncated": false,476   "block": 6,477   "row": 35533478  },479  {480   "path": "notebooks/example_1.ipynb",481   "sha256": "9d646bbccd113fcfbf822fdf2ff1c5a18875c57a0e336f829925210a9ccf57e3",482   "language": "Jupyter",483   "lines": 208,484   "truncated": false,485   "block": 5,486   "row": 16911487  },488  {489   "path": "notebooks/example_10.ipynb",490   "sha256": "507373e8d3f6215dd548e8aa15811a33466741ba50f80dde5fd9edb74ab40773",491   "language": "Jupyter",492   "lines": 200,493   "truncated": false,494   "block": 5,495   "row": 17141496  },497  {498   "path": "notebooks/example_11.ipynb",499   "sha256": "995cc2e43d0c37dc44d50607d1670e6611492f18f23773324764ab4b850a2227",500   "language": "Jupyter",501   "lines": 236,502   "truncated": false,503   "block": 5,504   "row": 17635505  },506  {507   "path": "notebooks/example_2.ipynb",508   "sha256": "b70b971cb657d57394a8fb7d421e481134b636f946b6898863e3e95bd10da2e5",509   "language": "Jupyter",510   "lines": 136,511   "truncated": false,512   "block": 5,513   "row": 16470514  },515  {516   "path": "notebooks/example_3.ipynb",517   "sha256": "8a3ed614bca9c618447058d6970d685c2c425a5fa1d25a05f3b5d420d882730d",518   "language": "Jupyter",519   "lines": 142,520   "truncated": false,521   "block": 5,522   "row": 16583523  },524  {525   "path": "notebooks/example_4.ipynb",526   "sha256": "76fa8739cf058ed1dd33f0d074452796e4e5ceb25cb072c36c129e212dd35d56",527   "language": "Jupyter",528   "lines": 188,529   "truncated": false,530   "block": 5,531   "row": 16850532  },533  {534   "path": "notebooks/example_5.ipynb",535   "sha256": "c4b90d13054ca1c59dfdc3bcde550587b12e7bcf8f59a652fe992146b3cb2471",536   "language": "Jupyter",537   "lines": 133,538   "truncated": false,539   "block": 5,540   "row": 16641541  },542  {543   "path": "notebooks/example_6.ipynb",544   "sha256": "ca76e62795972e55e2d46f19c1a65d15a0ba0402bf645b415beb6293f503929b",545   "language": "Jupyter",546   "lines": 155,547   "truncated": false,548   "block": 5,549   "row": 16832550  },551  {552   "path": "notebooks/example_7.ipynb",553   "sha256": "1069a50fde69ddfea4de07dab666e7f5e7680b775d8c6e41c9ed88bfcc0add3d",554   "language": "Jupyter",555   "lines": 197,556   "truncated": false,557   "block": 5,558   "row": 17009559  },560  {561   "path": "notebooks/example_8.ipynb",562   "sha256": "3daccd5371ce96db931c7fde34ec4ffbb5caa7972a0de1948f68fd5d902dedd5",563   "language": "Jupyter",564   "lines": 93,565   "truncated": false,566   "block": 5,567   "row": 16585568  },569  {570   "path": "notebooks/example_9.ipynb",571   "sha256": "7d8a498b12ede29f3c8da296a4bcfdc505eb37eaa06a123d24f7701199b1814e",572   "language": "Jupyter",573   "lines": 88,574   "truncated": false,575   "block": 5,576   "row": 16398577  },578  {579   "path": "notebooks/index.ipynb",580   "sha256": "6bf4d4e6674076546b4ce6a59d284f3fef3fc126a20af91348530d9f0d018994",581   "language": "Jupyter",582   "lines": 21,583   "truncated": false,584   "block": 5,585   "row": 16090586  },587  {588   "path": "setup.py",589   "sha256": "e6df48b590858926c49b70c0b984edb739fa470a82703e35bd549b106d14c15e",590   "language": "Python",591   "lines": 68,592   "truncated": false,593   "block": 6,594   "row": 32593595  }596 ]597}