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
rootmanifestsfagithub.com__sai-mat-group__predicting-migration-barriers.json
github.com__sai-mat-group__predicting-migration-barriers.json408 linesDownload Raw Back to fa
1{2 "format": "oscr-script-manifest/1",3 "repository": "github.com/sai-mat-group/predicting-migration-barriers",4 "url": "https://github.com/sai-mat-group/predicting-migration-barriers",5 "host": "github.com",6 "commit": "ffb51b5a3edefe83cbec0ff50be6d581054f3fc6",7 "license": "MIT",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11  {12   "path": "LICENSE",13   "sha256": "f2726c19c4a452e973380198c0caa806485b5bfeec688fea6de67692f7315733",14   "language": "License",15   "lines": 21,16   "truncated": false,17   "block": 11,18   "row": 1427019  },20  {21   "path": "MODEL-1-ADD/alignn_multi.py",22   "sha256": "beca22e303345d751126b6bf20a2b809289af782800935d9d56cb4c3f76c1e55",23   "language": "Python",24   "lines": 558,25   "truncated": false,26   "block": 12,27   "row": 2067228  },29  {30   "path": "MODEL-1-ADD/fine-tune-new-prop.py",31   "sha256": "b40c8d9f53321fa66d3806f4a8b11903df2d94713f7e3a4209b43d2d0d134fae",32   "language": "Python",33   "lines": 347,34   "truncated": false,35   "block": 12,36   "row": 1816937  },38  {39   "path": "MODEL-1-ADD/graphs_multi.py",40   "sha256": "d8aa3d27f8bce41b04123788b603af9c5363ab1da1b7d610acf63bfb66cb702f",41   "language": "Python",42   "lines": 990,43   "truncated": false,44   "block": 12,45   "row": 2226146  },47  {48   "path": "MODEL-1-ADD/restart-fine-tune-new-prop.py",49   "sha256": "9feafa27242828f80f845a98da6c2001fd7b19cef9d3a4ae8ecfa65c1afceb95",50   "language": "Python",51   "lines": 355,52   "truncated": false,53   "block": 12,54   "row": 1835355  },56  {57   "path": "MODEL-1-ADD/test-fine-tune-model-new-prop.py",58   "sha256": "838181203857ca4e00072ed467617cbb1a8d2a33417abfb5eb982980807a0239",59   "language": "Python",60   "lines": 306,61   "truncated": false,62   "block": 12,63   "row": 1742164  },65  {66   "path": "MODEL-1-CC-SINGLE-PATH/alignn_multi.py",67   "sha256": "0c4e48b181ee8a9f5a7d0947ba0f603bb25cba0f238ce2a6d1cb3858acbba388",68   "language": "Python",69   "lines": 562,70   "truncated": false,71   "block": 12,72   "row": 2076773  },74  {75   "path": "MODEL-1-CC-SINGLE-PATH/fine-tune-new-prop.py",76   "sha256": "2cbe7492108a3b17cf793655a15a0915b37f67ec435d743c349c41b56cddc1c9",77   "language": "Python",78   "lines": 347,79   "truncated": false,80   "block": 12,81   "row": 1817182  },83  {84   "path": "MODEL-1-CC-SINGLE-PATH/graphs_multi.py",85   "sha256": "d8aa3d27f8bce41b04123788b603af9c5363ab1da1b7d610acf63bfb66cb702f",86   "language": "Python",87   "lines": 990,88   "truncated": false,89   "block": 12,90   "row": 2226191  },92  {93   "path": "MODEL-1-CC-SINGLE-PATH/test-fine-tune-model-new-prop.py",94   "sha256": "94f2a14f08056512fe9d2f4caaeb66bc023d7ed2d1927e6f037f6fcfd55b8a85",95   "language": "Python",96   "lines": 345,97   "truncated": false,98   "block": 12,99   "row": 18083100  },101  {102   "path": "MODEL-1-CC/alignn_multi.py",103   "sha256": "772b52189fcfffa5da02d8cf57e999dd320ca08261e536767fa08d90bdc78868",104   "language": "Python",105   "lines": 564,106   "truncated": false,107   "block": 12,108   "row": 20779109  },110  {111   "path": "MODEL-1-CC/fine-tune-new-prop.py",112   "sha256": "970c769aceb0b59112eb8c70ea3e7cda20246660e9368a2d581d758d1f0e560a",113   "language": "Python",114   "lines": 347,115   "truncated": false,116   "block": 12,117   "row": 18168118  },119  {120   "path": "MODEL-1-CC/graphs_multi.py",121   "sha256": "d8aa3d27f8bce41b04123788b603af9c5363ab1da1b7d610acf63bfb66cb702f",122   "language": "Python",123   "lines": 990,124   "truncated": false,125   "block": 12,126   "row": 22261127  },128  {129   "path": "MODEL-1-CC/restart-fine-tune-new-prop.py",130   "sha256": "9feafa27242828f80f845a98da6c2001fd7b19cef9d3a4ae8ecfa65c1afceb95",131   "language": "Python",132   "lines": 355,133   "truncated": false,134   "block": 12,135   "row": 18353136  },137  {138   "path": "MODEL-1-CC/test-fine-tune-model-new-prop.py",139   "sha256": "86fc33fd84a15bc80883bc034fca9e3af4975f7d6ed0289da4bbdeedb82e30bf",140   "language": "Python",141   "lines": 306,142   "truncated": false,143   "block": 12,144   "row": 17414145  },146  {147   "path": "MODEL-1-SUB/alignn_multi.py",148   "sha256": "2c2b5d4d87c7ca7c768f5a6a7c207dcbc2f21173e2e292876ebf5ed868f07650",149   "language": "Python",150   "lines": 558,151   "truncated": false,152   "block": 12,153   "row": 20671154  },155  {156   "path": "MODEL-1-SUB/fine-tune-new-prop.py",157   "sha256": "b40c8d9f53321fa66d3806f4a8b11903df2d94713f7e3a4209b43d2d0d134fae",158   "language": "Python",159   "lines": 347,160   "truncated": false,161   "block": 12,162   "row": 18169163  },164  {165   "path": "MODEL-1-SUB/graphs_multi.py",166   "sha256": "d8aa3d27f8bce41b04123788b603af9c5363ab1da1b7d610acf63bfb66cb702f",167   "language": "Python",168   "lines": 990,169   "truncated": false,170   "block": 12,171   "row": 22261172  },173  {174   "path": "MODEL-1-SUB/restart-fine-tune-new-prop.py",175   "sha256": "799607c26f184e72f52c2edade576ac76157bc06a101d19ac781842363440a1f",176   "language": "Python",177   "lines": 355,178   "truncated": false,179   "block": 12,180   "row": 18352181  },182  {183   "path": "MODEL-1-SUB/test-fine-tune-model-new-prop.py",184   "sha256": "405a3fd7c9326aaa97e254c216d8f849650b14f5f930e5b18a9ddc75b1e74a9f",185   "language": "Python",186   "lines": 306,187   "truncated": false,188   "block": 12,189   "row": 17420190  },191  {192   "path": "MODEL-2/alignn_multi.py",193   "sha256": "2a9e010a28eca67953371a711753d72c20d1aac6e2e081ea4b033c2d890f851a",194   "language": "Python",195   "lines": 607,196   "truncated": false,197   "block": 12,198   "row": 20974199  },200  {201   "path": "MODEL-2/fine-tune-new-prop.py",202   "sha256": "970c769aceb0b59112eb8c70ea3e7cda20246660e9368a2d581d758d1f0e560a",203   "language": "Python",204   "lines": 347,205   "truncated": false,206   "block": 12,207   "row": 18168208  },209  {210   "path": "MODEL-2/graphs_multi.py",211   "sha256": "d8aa3d27f8bce41b04123788b603af9c5363ab1da1b7d610acf63bfb66cb702f",212   "language": "Python",213   "lines": 990,214   "truncated": false,215   "block": 12,216   "row": 22261217  },218  {219   "path": "MODEL-2/test-fine-tune-model-new-prop.py",220   "sha256": "8b469ce43b1441d0a81a4e47557131a9f995ed6b6f27f6f6b679c627e8590939",221   "language": "Python",222   "lines": 306,223   "truncated": false,224   "block": 12,225   "row": 17413226  },227  {228   "path": "MODEL-3/alignn_multi.py",229   "sha256": "3be987c063f882a8440e2cec5fef7d771a81fd75c248ff4f1162849ee157fc8c",230   "language": "Python",231   "lines": 479,232   "truncated": false,233   "block": 12,234   "row": 20129235  },236  {237   "path": "MODEL-3/fine-tune-new-prop.py",238   "sha256": "8782c67f63c505cb04c7732c8cf1552a907033c8087cd21d2367cb522dca9cad",239   "language": "Python",240   "lines": 310,241   "truncated": false,242   "block": 12,243   "row": 17533244  },245  {246   "path": "MODEL-3/graphs_multi.py",247   "sha256": "cca036a1922faffd4077a6cbb2dffcd462c0037c62d11235bacfcbb6f7fd0aba",248   "language": "Python",249   "lines": 890,250   "truncated": false,251   "block": 12,252   "row": 22085253  },254  {255   "path": "MODEL-3/test-fine-tune-model-new-prop.py",256   "sha256": "f44596a952ab298e180fb32a1ab0152074b8be684649352fd08dba8313716fda",257   "language": "Python",258   "lines": 306,259   "truncated": false,260   "block": 12,261   "row": 17376262  },263  {264   "path": "MODEL-4/alignn_multi.py",265   "sha256": "561e7bb736d3e0371a5f70d8b123d5fa6b7e63112f6e9109a2e8b27296896cb1",266   "language": "Python",267   "lines": 608,268   "truncated": false,269   "block": 12,270   "row": 21068271  },272  {273   "path": "MODEL-4/fine-tune-new-prop.py",274   "sha256": "af73045f784ed62e6f39d7c9dfcb7d1609fccd361100f853cd518170691860ad",275   "language": "Python",276   "lines": 347,277   "truncated": false,278   "block": 12,279   "row": 18165280  },281  {282   "path": "MODEL-4/graphs_multi.py",283   "sha256": "3f1f79b7b790580418e6724c0ca8d1c61fc6e1780e0eba80819c68f7f11671cf",284   "language": "Python",285   "lines": 1024,286   "truncated": false,287   "block": 12,288   "row": 22345289  },290  {291   "path": "MODEL-4/test-fine-tune-model-new-prop.py",292   "sha256": "3a0643911370b4512040448f6d7162fca9963a1c66a97e24a3c4b9ba66750ab7",293   "language": "Python",294   "lines": 306,295   "truncated": false,296   "block": 12,297   "row": 17416298  },299  {300   "path": "README.md",301   "sha256": "1dddbe0e16425a704d7bbc18ec764a8e88fdd20100a46a09333f2beab73a93c6",302   "language": "Text",303   "lines": 18,304   "truncated": false,305   "block": 13,306   "row": 6332307  },308  {309   "path": "SCRATCH-CC/load-freeze-weights.py",310   "sha256": "5a9aea8ab0bc647b9ac8dbe823b69a4bc80a9dd65cf2cc412b88b07f4d37ef92",311   "language": "Python",312   "lines": 88,313   "truncated": false,314   "block": 12,315   "row": 9366316  },317  {318   "path": "SCRATCH-CC/pre-train-dual.py",319   "sha256": "4bc6efe09030dfe8309dc6c23f0584223d20db7c361eff86709c0d5383e8d98b",320   "language": "Python",321   "lines": 78,322   "truncated": false,323   "block": 12,324   "row": 9030325  },326  {327   "path": "SCRATCH-SINGLE-PATH/load-freeze-weights.py",328   "sha256": "f0b27a5a6626cdfc8d269988360e354af24b86fd7d3bdba47835ef5b0a79068b",329   "language": "Python",330   "lines": 88,331   "truncated": false,332   "block": 12,333   "row": 9376334  },335  {336   "path": "SCRATCH-SINGLE-PATH/pre-train-dual.py",337   "sha256": "b594497f7032da3162ded77205490c147605b5434373cfe613ae00f3ddffb51a",338   "language": "Python",339   "lines": 78,340   "truncated": false,341   "block": 12,342   "row": 9038343  },344  {345   "path": "train_files/SCRATCH/alignn_dual.py",346   "sha256": "99eaa25d0047cdef45fb052f680eaf8538edcd8038c9130d4401eeada7847a8d",347   "language": "Python",348   "lines": 336,349   "truncated": false,350   "block": 12,351   "row": 18237352  },353  {354   "path": "train_files/SCRATCH/alignn_dual_cc.py",355   "sha256": "dae77214754de1f4b4ec16256da784cbad4234bdd2290706e2be748742e96454",356   "language": "Python",357   "lines": 342,358   "truncated": false,359   "block": 12,360   "row": 18417361  },362  {363   "path": "train_files/SCRATCH/load-freeze-weights.py",364   "sha256": "f493eb2a4148f501b74b290f0a1367559265745eb9cfd8b51be32f4829233f51",365   "language": "Python",366   "lines": 88,367   "truncated": false,368   "block": 12,369   "row": 9349370  },371  {372   "path": "train_files/SCRATCH/pre-train-dual.py",373   "sha256": "eadd8a1b5196a69cb8b4d4fd16e8762c11707cb9d7c16bfa7d9ca643848139a3",374   "language": "Python",375   "lines": 78,376   "truncated": false,377   "block": 12,378   "row": 9024379  },380  {381   "path": "train_files/SCRATCH/train_DUAL.py",382   "sha256": "e50ed6b32ba9ebb8f38c7fb08d8733afc66189825480e794d728fc230e1da023",383   "language": "Python",384   "lines": 727,385   "truncated": false,386   "block": 12,387   "row": 21339388  },389  {390   "path": "train_files/SCRATCH/train_DUAL_cc.py",391   "sha256": "a84d4c866699e4e5c1075fcc53351fc172e72bc2bfa27f5caa56e120b6d3e09e",392   "language": "Python",393   "lines": 727,394   "truncated": false,395   "block": 12,396   "row": 21340397  },398  {399   "path": "train_files/SCRATCH/train_DUAL_trial_cc.py",400   "sha256": "ad4a5bfe94c0e3709f479556c103b87d2058090e3ed608948d256deeab80c830",401   "language": "Python",402   "lines": 760,403   "truncated": false,404   "block": 12,405   "row": 21864406  }407 ]408}