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__yhqjohn__deflex.json417 linesDownload Raw Back to 1c
1{2 "format": "oscr-script-manifest/1",3 "repository": "github.com/yhqjohn/deflex",4 "url": "https://github.com/yhqjohn/deflex",5 "host": "github.com",6 "commit": "df664b1d422f802543087f415eb9a5304b2c79ef",7 "license": "MIT",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11  {12   "path": "LICENSE",13   "sha256": "fda6281a27730354839da31bb690d1a2a8789db6cbc63d17ee956690d0453db9",14   "language": "License",15   "lines": 21,16   "truncated": false,17   "block": 6,18   "row": 139119  },20  {21   "path": "LambdaRegression/docs/make.jl",22   "sha256": "52cb8eb5e8603aa603635eb3fe01fbd5210fbc8e5140f2070e4dd9f5b2c76ae9",23   "language": "Julia",24   "lines": 29,25   "truncated": false,26   "block": 5,27   "row": 1563028  },29  {30   "path": "LambdaRegression/src/LambdaRegression.jl",31   "sha256": "ea14c016ff82ad9f1463b60df31900055f37c60c2ec0bfd97edda643a5fa305c",32   "language": "Julia",33   "lines": 23,34   "truncated": false,35   "block": 5,36   "row": 1560837  },38  {39   "path": "LambdaRegression/src/Utils.jl",40   "sha256": "aa656ec11c1bb5dc6cd176e352c0608f905f3a3f1d01c922242862eb99437336",41   "language": "Julia",42   "lines": 104,43   "truncated": false,44   "block": 5,45   "row": 1566846  },47  {48   "path": "LambdaRegression/src/asts/ASTs.jl",49   "sha256": "d7c94de67a0f11e33f30f6b5b332bb8406549abd94a92a455fdaecbead4be315",50   "language": "Julia",51   "lines": 22,52   "truncated": false,53   "block": 5,54   "row": 1560955  },56  {57   "path": "LambdaRegression/src/asts/contexts.jl",58   "sha256": "2e0f7b80866d1778051d111c2119a5b374e8db1e4ae1907574dee1d06363dbc4",59   "language": "Julia",60   "lines": 106,61   "truncated": false,62   "block": 5,63   "row": 1574864  },65  {66   "path": "LambdaRegression/src/asts/cse.jl",67   "sha256": "f4d808ec49a8f9e0dedbdbaed1497e7f48b7342dd8b975ae426d961dc12adec7",68   "language": "Julia",69   "lines": 221,70   "truncated": false,71   "block": 5,72   "row": 1585873  },74  {75   "path": "LambdaRegression/src/asts/nodeasts.jl",76   "sha256": "a273d07c45aa8f86f9c24983d232e31236d44f4a1e7531566c9caca2581f3d74",77   "language": "Julia",78   "lines": 1267,79   "truncated": false,80   "block": 5,81   "row": 1594982  },83  {84   "path": "LambdaRegression/src/asts/parse.jl",85   "sha256": "2bcb5f970dc7eb9b53ce19e941acd507a06f9096eac3949fb1bc92e663d6ae17",86   "language": "Julia",87   "lines": 366,88   "truncated": false,89   "block": 5,90   "row": 1588891  },92  {93   "path": "LambdaRegression/src/generate/GenerateTree.jl",94   "sha256": "ea42922d5c7beb5a97b482de3fb85ae6faffd09dbf46298c6cec746afea866da",95   "language": "Julia",96   "lines": 314,97   "truncated": false,98   "block": 5,99   "row": 15875100  },101  {102   "path": "LambdaRegression/src/generate/constantctors.jl",103   "sha256": "4a5aeec8dbee09e5db0441cc1df6cfc5aaef667f6086dd5160620f2d50b2f905",104   "language": "Julia",105   "lines": 92,106   "truncated": false,107   "block": 5,108   "row": 15772109  },110  {111   "path": "LambdaRegression/src/reduce/Reduce.jl",112   "sha256": "bd52e446d3a91fb4b6e962f3c9f7130a48b5f8f5f47d2cfa500d6c2039901ad0",113   "language": "Julia",114   "lines": 399,115   "truncated": false,116   "block": 5,117   "row": 15923118  },119  {120   "path": "LambdaRegression/src/trees/Trees.jl",121   "sha256": "362be137465191d1e43ef36068fb64633e3b8edfac94d2cedd21cd63ff56af19",122   "language": "Julia",123   "lines": 1461,124   "truncated": false,125   "block": 5,126   "row": 15952127  },128  {129   "path": "LambdaRegression/src/trees/dfstrees.jl",130   "sha256": "f495409de7560772524195d611f2d38111fc2b94309fc404ffcbafcfb6da000e",131   "language": "Julia",132   "lines": 621,133   "truncated": false,134   "block": 5,135   "row": 15942136  },137  {138   "path": "LambdaRegression/src/trees/utils.jl",139   "sha256": "3ed01e3970cb263a93c5901b9dee3664dc5b1560ae8b25fff742ac27168ad63d",140   "language": "Julia",141   "lines": 36,142   "truncated": false,143   "block": 5,144   "row": 15646145  },146  {147   "path": "LambdaRegression/src/typesystem/TypeSystem.jl",148   "sha256": "234e8a3a6c0d49cb2c9d880fd3de362908fba89af1a83adbc16fc7d4afba5384",149   "language": "Julia",150   "lines": 1267,151   "truncated": false,152   "block": 5,153   "row": 15948154  },155  {156   "path": "LambdaRegression/test/runtests.jl",157   "sha256": "113ecb7395ae970538594510dd2532d521b30e4a4e4ba5750e7d2ef7a0ded6ab",158   "language": "Julia",159   "lines": 4,160   "truncated": false,161   "block": 5,162   "row": 15604163  },164  {165   "path": "README.md",166   "sha256": "7f7fc799e68d1e5a67da87057c07bc96a72bb98927a72682f4a20591a996e0b9",167   "language": "Text",168   "lines": 105,169   "truncated": false,170   "block": 8,171   "row": 10038172  },173  {174   "path": "conftest.py",175   "sha256": "8eba4765fb57384a1b0bafc10b32e42024c5d9567e8f2d198b3d99cfa00832d2",176   "language": "Python",177   "lines": 64,178   "truncated": false,179   "block": 6,180   "row": 30402181  },182  {183   "path": "deflex/__init__.py",184   "sha256": "d7ce9e67a259e53ce415cf342d9016179b73158dd55905d83332c2bdded412a1",185   "language": "Python",186   "lines": 21,187   "truncated": false,188   "block": 6,189   "row": 23352190  },191  {192   "path": "deflex/core/__init__.py",193   "sha256": "a97a14904ac422abc01aa970ae3a7893bec3d10268967c9d163cb82616db0079",194   "language": "Python",195   "lines": 7,196   "truncated": false,197   "block": 6,198   "row": 20813199  },200  {201   "path": "deflex/core/estimator.py",202   "sha256": "7548ef3938290207c9531e27bbe9292a3cc823999d76c6e99704c90c71d06a0b",203   "language": "Python",204   "lines": 231,205   "truncated": false,206   "block": 7,207   "row": 1298208  },209  {210   "path": "deflex/deflexformer/__init__.py",211   "sha256": "25c5a5672c42ad6eb5436827aa66416ff34d4652fbffff9fd79f9a486a87e5b4",212   "language": "Python",213   "lines": 16,214   "truncated": false,215   "block": 6,216   "row": 22320217  },218  {219   "path": "deflex/deflexformer/blocks.py",220   "sha256": "33ce29152cde02b31b2926ba48a46e323c87bc29aaa379af2c70d81cde0fbc33",221   "language": "Python",222   "lines": 109,223   "truncated": false,224   "block": 6,225   "row": 38461226  },227  {228   "path": "deflex/deflexformer/estimator.py",229   "sha256": "b6968e2d4e673e66a28fccf358d20a1d13be2d35013bf237064832b5f025a59a",230   "language": "Python",231   "lines": 285,232   "truncated": false,233   "block": 7,234   "row": 2490235  },236  {237   "path": "deflex/deflexformer/layers.py",238   "sha256": "e00f75efefbabe6c51214f58ed4f162ef6dd114be68fb3b1f7a266b34a7898e8",239   "language": "Python",240   "lines": 233,241   "truncated": false,242   "block": 6,243   "row": 45154244  },245  {246   "path": "deflex/deflexformer/models.py",247   "sha256": "b568f04cea3323e874092586114d7735bd0f11e7f05b83fdecad32e22c9eabc3",248   "language": "Python",249   "lines": 127,250   "truncated": false,251   "block": 6,252   "row": 38015253  },254  {255   "path": "deflex/julia_utils.py",256   "sha256": "42dc4589f02c0f138467e3d4008035490ba70ed2f7cd79d1eeab795bbedbe41b",257   "language": "Python",258   "lines": 102,259   "truncated": false,260   "block": 6,261   "row": 34925262  },263  {264   "path": "deflex/lambda_regression/__init__.py",265   "sha256": "776b05448e293f4d32716276add6c642b6e2db9ee75191a68daed3870afb9ac4",266   "language": "Python",267   "lines": 17,268   "truncated": false,269   "block": 6,270   "row": 22575271  },272  {273   "path": "deflex/lambda_regression/estimator.py",274   "sha256": "ab0b644e01780ed6a10ff76503eb3864ba19a3957ee42fa93921b3f2c2f459ab",275   "language": "Python",276   "lines": 256,277   "truncated": false,278   "block": 7,279   "row": 1434280  },281  {282   "path": "deflex/lambda_regression/julia_interface.py",283   "sha256": "4ae7ae3fc3a7d3f07a8e3620457067b418c8ce90fd2cbd9796afc51d6541139e",284   "language": "Python",285   "lines": 298,286   "truncated": false,287   "block": 7,288   "row": 2462289  },290  {291   "path": "deflex/lambda_regression/operators.py",292   "sha256": "4ae95c35bffbf7e5a08d1703810553f4a65bc58d96593e68bdd9bbac03125e7c",293   "language": "Python",294   "lines": 185,295   "truncated": false,296   "block": 6,297   "row": 42313298  },299  {300   "path": "deflex/utils/__init__.py",301   "sha256": "e6e856d60a66528d8b6749b33d9e6592c7ce6e30c4221163af5fe8628799e82a",302   "language": "Python",303   "lines": 13,304   "truncated": false,305   "block": 6,306   "row": 21788307  },308  {309   "path": "deflex/utils/data.py",310   "sha256": "eec54853b1145da5b82953f5777601070b148a705d52a19f2feb2c44ee4b16cd",311   "language": "Python",312   "lines": 205,313   "truncated": false,314   "block": 6,315   "row": 43598316  },317  {318   "path": "deflex/utils/validation.py",319   "sha256": "539bc40a45e35843a883e053cabdf6571bde5b83342d17cc0e9098e087f2b0f3",320   "language": "Python",321   "lines": 212,322   "truncated": false,323   "block": 6,324   "row": 43766325  },326  {327   "path": "examples/__init__.py",328   "sha256": "136de7aff38a2aa5865fe96755001eba5a8517e82d94fa2496433c367c58120f",329   "language": "Python",330   "lines": 3,331   "truncated": false,332   "block": 6,333   "row": 20401334  },335  {336   "path": "examples/basic_usage.py",337   "sha256": "2b64848c70d3672e7823aa7998b9af977729e3f81b2147943f6e046da4aa9528",338   "language": "Python",339   "lines": 264,340   "truncated": false,341   "block": 7,342   "row": 1497343  },344  {345   "path": "examples/json_data_example.py",346   "sha256": "0deb5f1c005cd21a6fe6e75bd083ed1b467af05a76d3a16939e076cb83923a5f",347   "language": "Python",348   "lines": 267,349   "truncated": false,350   "block": 7,351   "row": 1851352  },353  {354   "path": "setup.py",355   "sha256": "7a4241928a3abe38072a2d0cadab47074611cfbab12eb4b18c9fe007e08adab4",356   "language": "Python",357   "lines": 59,358   "truncated": false,359   "block": 6,360   "row": 31579361  },362  {363   "path": "tests/__init__.py",364   "sha256": "cfa60093bf7123b90c77ebe8255cac03612a1f8e8f0b3fd5b44c776b99cd2760",365   "language": "Python",366   "lines": 3,367   "truncated": false,368   "block": 6,369   "row": 20292370  },371  {372   "path": "tests/test_core.py",373   "sha256": "86c37ddf74845ca06b4ebd338e53f94f36a7b3128dd686338515da8f42a3f901",374   "language": "Python",375   "lines": 148,376   "truncated": false,377   "block": 6,378   "row": 42756379  },380  {381   "path": "tests/test_data_loading.py",382   "sha256": "412478ad7a7650c9cf4771f605f1980c699ee2f587913b719baeca8c1a4b61c1",383   "language": "Python",384   "lines": 237,385   "truncated": false,386   "block": 7,387   "row": 1814388  },389  {390   "path": "tests/test_deflexformer.py",391   "sha256": "76601e6e55f41abb823cb5d6161a21e2e2df8c19e4003444bdaed503bc58239e",392   "language": "Python",393   "lines": 184,394   "truncated": false,395   "block": 6,396   "row": 42497397  },398  {399   "path": "tests/test_lambda_regression.py",400   "sha256": "273225f46c1934c32f1b8d4693bcaed44fab46c35ff971ce9c39be6bfbe513b4",401   "language": "Python",402   "lines": 206,403   "truncated": false,404   "block": 6,405   "row": 45334406  },407  {408   "path": "tests/test_utils.py",409   "sha256": "06ab76da661ffacaff03a79274f8ddae539d05f680cb885447abc1436a59c110",410   "language": "Python",411   "lines": 231,412   "truncated": false,413   "block": 7,414   "row": 598415  }416 ]417}