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

rootmanifests48github.com__kamitanilab__intersiteneuralcodeconversion.json

github.com__kamitanilab__intersiteneuralcodeconversion.json228 linesDownload Raw Back to 48

1{2 "format": "oscr-script-manifest/1",3 "repository": "github.com/kamitanilab/intersiteneuralcodeconversion",4 "url": "https://github.com/KamitaniLab/InterSiteNeuralCodeConversion",5 "host": "github.com",6 "commit": "c264167c2b5a0fa71709a58ae5b50a042f6d7a79",7 "license": "MIT",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11  {12   "path": "LICENSE",13   "sha256": "aaea9cf3878a6a3e59969b7c7c7b3231b145d2316c0febf02af1ed36ae88b5c6",14   "language": "License",15   "lines": 21,16   "truncated": false,17   "block": 20,18   "row": 869919  },20  {21   "path": "NCC_brain_loss/ncc_test.py",22   "sha256": "06f8ecdb5876b30bf9e6febe1c0517117818d6e717d98185de6affa4cab48b6f",23   "language": "Python",24   "lines": 171,25   "truncated": false,26   "block": 20,27   "row": 1912128  },29  {30   "path": "NCC_brain_loss/ncc_train.py",31   "sha256": "28c74907a963dba3bd6063a86d8706a535c356129757054407065275409cefea",32   "language": "Python",33   "lines": 226,34   "truncated": false,35   "block": 20,36   "row": 1942737  },38  {39   "path": "NCC_content_loss/NCC_test.py",40   "sha256": "7030bae2aaf9c548885b40cda1d2578dbf9cdcf23594f04290d4a292d3c7de8b",41   "language": "Python",42   "lines": 162,43   "truncated": false,44   "block": 20,45   "row": 1916246  },47  {48   "path": "NCC_content_loss/NCC_train.py",49   "sha256": "b92fe3419c329f952b323a51b8ca901216cb2f35708664343b3bac0b3ecf288e",50   "language": "Python",51   "lines": 315,52   "truncated": false,53   "block": 20,54   "row": 2080955  },56  {57   "path": "NCC_content_loss/datasets.py",58   "sha256": "b17f80204b7d7f828ea8f1f1df86d1dc25a432a2879a8bc9c27c5de05fe66edb",59   "language": "Python",60   "lines": 16,61   "truncated": false,62   "block": 20,63   "row": 1330864  },65  {66   "path": "NCC_content_loss/models.py",67   "sha256": "0596691b7fa7b9868c0864ddfaadd28e7f7937b1e0660ea231e02cfe1cec413b",68   "language": "Python",69   "lines": 23,70   "truncated": false,71   "block": 20,72   "row": 1360673  },74  {75   "path": "NCC_content_loss/utils.py",76   "sha256": "f95799f1b0f03cd13def2507b7e7bd8d768a2fb86989acf4470bc86d9fefe1e0",77   "language": "Python",78   "lines": 276,79   "truncated": false,80   "block": 20,81   "row": 2020682  },83  {84   "path": "README.md",85   "sha256": "aa8d33cab5d5a3966023193a10156869e36686f8dffb0db293ec4fa0c06bf3e1",86   "language": "Text",87   "lines": 202,88   "truncated": false,89   "block": 21,90   "row": 318691  },92  {93   "path": "data/download.py",94   "sha256": "fe8a7238b973d87d7f83b35c2d2d657a2ff4b4fc402de6eb81950ae563ba5090",95   "language": "Python",96   "lines": 95,97   "truncated": false,98   "block": 20,99   "row": 17184100  },101  {102   "path": "evaluation/conversion_accuracy/fmri_pattern_corr_brain_loss.py",103   "sha256": "15f304c20b8dfe3f62e87bd606a3f0c86659022ee94d889bcec7d7e3b670387e",104   "language": "Python",105   "lines": 187,106   "truncated": false,107   "block": 20,108   "row": 18914109  },110  {111   "path": "evaluation/conversion_accuracy/fmri_pattern_corr_content_loss.py",112   "sha256": "60ea5691453ef7704f196a6ab56db25b5776c67a8c1521c9ae1fbb258d41f2a0",113   "language": "Python",114   "lines": 186,115   "truncated": false,116   "block": 20,117   "row": 19008118  },119  {120   "path": "evaluation/conversion_accuracy/fmri_profile_corr_brain_loss.py",121   "sha256": "c8568e8c7dc72288558710eead2ce15db23b9be198eb17c4249c391896c2cc08",122   "language": "Python",123   "lines": 174,124   "truncated": false,125   "block": 20,126   "row": 18674127  },128  {129   "path": "evaluation/conversion_accuracy/fmri_profile_corr_content_loss.py",130   "sha256": "17493ef390f3be4b6b0eb320cb88169faee06f03a3764e912de7507adfbd6b1c",131   "language": "Python",132   "lines": 168,133   "truncated": false,134   "block": 20,135   "row": 18937136  },137  {138   "path": "evaluation/conversion_accuracy/plot_figure.py",139   "sha256": "638811c8038d1c0d43e03577d7ddd2243eb2bf9c5b061412288add7e51fd8566",140   "language": "Python",141   "lines": 272,142   "truncated": false,143   "block": 20,144   "row": 20543145  },146  {147   "path": "evaluation/decoding_accuracy/featdec_eval.py",148   "sha256": "9b5a4192d030c0b5ccb8ac3de6f572b03cef219f5ed49e76f01fd87851b111a7",149   "language": "Python",150   "lines": 145,151   "truncated": false,152   "block": 20,153   "row": 18269154  },155  {156   "path": "evaluation/decoding_accuracy/plot_figure.py",157   "sha256": "a42b4a6d5c391910c919d86c9d800370c08523a4b7b69ab33ff9c52ad80a088c",158   "language": "Python",159   "lines": 185,160   "truncated": false,161   "block": 20,162   "row": 19262163  },164  {165   "path": "evaluation/identification_accuracy/plot_figure.py",166   "sha256": "8ac408b10d8ff1b3579515dd30de1982a191e450055ddcfd0ba6a26ef842f731",167   "language": "Python",168   "lines": 225,169   "truncated": false,170   "block": 20,171   "row": 19977172  },173  {174   "path": "evaluation/identification_accuracy/recon_image_eval.py",175   "sha256": "803e53da3d7b7f462255e1e2ce85b35fe338baf80fc38b08d992b98e68f5b283",176   "language": "Python",177   "lines": 127,178   "truncated": false,179   "block": 20,180   "row": 17618181  },182  {183   "path": "evaluation/identification_accuracy/recon_image_eval_dnn.py",184   "sha256": "922cd26405c276bb5ec0a0c5edd2368011bb6457ddca300d4e1f2eb5ab958d91",185   "language": "Python",186   "lines": 252,187   "truncated": false,188   "block": 20,189   "row": 19697190  },191  {192   "path": "feature-decoding/featdec_fastl2lir_predict.py",193   "sha256": "68f435078533627ee42c7b299dbec6a6d69abed3e417e1fe3e6d3ebca1b8c27b",194   "language": "Python",195   "lines": 249,196   "truncated": false,197   "block": 20,198   "row": 19512199  },200  {201   "path": "feature-decoding/featdec_fastl2lir_train.py",202   "sha256": "16400a088e409b781d4084a4b28b013bfe4ca604dae8981e76b8ba6cdaba567e",203   "language": "Python",204   "lines": 260,205   "truncated": false,206   "block": 20,207   "row": 19789208  },209  {210   "path": "reconstruction/data/download.py",211   "sha256": "463f3c067dd4de3d7d807caedd5277e74b0afde88401d35cd1aa19b36d35a215",212   "language": "Python",213   "lines": 110,214   "truncated": false,215   "block": 20,216   "row": 17360217  },218  {219   "path": "reconstruction/recon_icnn_image_gd.py",220   "sha256": "2f37541c98b1b9fd6562f21f788794f6c4b0062fe3c3c7fd4fcc40bd13d95444",221   "language": "Python",222   "lines": 433,223   "truncated": false,224   "block": 20,225   "row": 21258226  }227 ]228}