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
rootmanifests4bgithub.com__bisu9082__litesensor-net.json
github.com__bisu9082__litesensor-net.json327 linesDownload Raw Back to 4b
1{2 "format": "oscr-script-manifest/1",3 "repository": "github.com/bisu9082/litesensor-net",4 "url": "https://github.com/bisu9082/LiteSensor-Net",5 "host": "github.com",6 "commit": "c102c1466471fcf980787b6a57958f438d693dd0",7 "license": "Apache-2.0",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11  {12   "path": "LICENSE",13   "sha256": "5a1de0a0bdabd8f976f8163daddfa4e34cd2ce125198abd5af827666c90a1632",14   "language": "License",15   "lines": 19,16   "truncated": false,17   "block": 6,18   "row": 131819  },20  {21   "path": "README.md",22   "sha256": "9bf5f56e2e8699f8cfa73a8fa66578e7ad840b4fad2b73370f828fd3314e5024",23   "language": "Text",24   "lines": 98,25   "truncated": false,26   "block": 8,27   "row": 1012928  },29  {30   "path": "code/analysis_main.py",31   "sha256": "660e6eca916e6f626049d290a4eb6e823dfdba3a181e14e40e4fc3109f960272",32   "language": "Python",33   "lines": 431,34   "truncated": false,35   "block": 7,36   "row": 803037  },38  {39   "path": "code/eval_benchmark.py",40   "sha256": "736a6972a88a37153214b9de3da8b67b58f2f74f1c7c981b3b9d6bba131f6327",41   "language": "Python",42   "lines": 162,43   "truncated": false,44   "block": 6,45   "row": 4356646  },47  {48   "path": "code/eval_calibration.py",49   "sha256": "63321b52acdb4fa3df2c465aade786fc909d897225501bccb0706289f20ba4c4",50   "language": "Python",51   "lines": 120,52   "truncated": false,53   "block": 6,54   "row": 4131155  },56  {57   "path": "code/eval_classification.py",58   "sha256": "1d09d688673c7f4005ea5e0b60085c6aeebf2300028edb94789f854037321557",59   "language": "Python",60   "lines": 150,61   "truncated": false,62   "block": 6,63   "row": 4445564  },65  {66   "path": "code/eval_compression.py",67   "sha256": "8c9d5bac9d9b1591641c525f6f962126547898884c3bc60f85e284a7f2edd1b8",68   "language": "Python",69   "lines": 133,70   "truncated": false,71   "block": 6,72   "row": 4397973  },74  {75   "path": "code/eval_drift_taskA.py",76   "sha256": "660e6eca916e6f626049d290a4eb6e823dfdba3a181e14e40e4fc3109f960272",77   "language": "Python",78   "lines": 431,79   "truncated": false,80   "block": 7,81   "row": 803082  },83  {84   "path": "code/eval_drift_taskB.py",85   "sha256": "e5a76dd1573ffc7a8b77d71b82e4b60fcfd6a1f56c11c0d21c7f4648e9ff50d2",86   "language": "Python",87   "lines": 244,88   "truncated": false,89   "block": 7,90   "row": 338291  },92  {93   "path": "code/modules/__init__.py",94   "sha256": "2ad7c61f23351aa1e4698d6636b5260e82996c612432ef33bb8aacd6f5ddb0f7",95   "language": "Python",96   "lines": 1,97   "truncated": false,98   "block": 6,99   "row": 20344100  },101  {102   "path": "code/modules/compression.py",103   "sha256": "ddb57222213de4be04a6e368eae5ae62e044234c03b3de6a2a2e62696e3c3c42",104   "language": "Python",105   "lines": 95,106   "truncated": false,107   "block": 6,108   "row": 38176109  },110  {111   "path": "code/modules/data_loader.py",112   "sha256": "ceb911082d506b1aca69f05ec6decb3ae9a76b58de1b6fc0d16434367219e501",113   "language": "Python",114   "lines": 182,115   "truncated": false,116   "block": 7,117   "row": 127118  },119  {120   "path": "code/modules/evaluate.py",121   "sha256": "f556a0e2f0cef2cf70642e4d141527048c41dd8037c9c357d75f9a855345b66c",122   "language": "Python",123   "lines": 97,124   "truncated": false,125   "block": 6,126   "row": 38550127  },128  {129   "path": "code/modules/kd_dm.py",130   "sha256": "c581556da4e23506e1407b7ab52024aaffc61150332db887cf9673a269a4fbd8",131   "language": "Python",132   "lines": 133,133   "truncated": false,134   "block": 6,135   "row": 42033136  },137  {138   "path": "code/modules/kd_dm_v4.py",139   "sha256": "06d3777582e49b567b4ba51b924736fa1bc765ae0a2ce377fd0ef9e1d5943851",140   "language": "Python",141   "lines": 109,142   "truncated": false,143   "block": 6,144   "row": 40171145  },146  {147   "path": "code/modules/models.py",148   "sha256": "f7366bc8d8cde9f55cba01f9927a583d7d7b1b2c179c5862ff209cc3f52da562",149   "language": "Python",150   "lines": 212,151   "truncated": false,152   "block": 7,153   "row": 1796154  },155  {156   "path": "code/modules/training.py",157   "sha256": "66e0fab33fa4ad37e46904cca51bb97af8e65ef1af6ac549bb93e0b31fd4063e",158   "language": "Python",159   "lines": 89,160   "truncated": false,161   "block": 6,162   "row": 37201163  },164  {165   "path": "code/run_combo2.py",166   "sha256": "0700125386c5b15deb8f1a71337f703e49b596b5c437b40aebd1a87659169cca",167   "language": "Python",168   "lines": 342,169   "truncated": false,170   "block": 7,171   "row": 7137172  },173  {174   "path": "code/run_e_ece_tempscale.py",175   "sha256": "63321b52acdb4fa3df2c465aade786fc909d897225501bccb0706289f20ba4c4",176   "language": "Python",177   "lines": 120,178   "truncated": false,179   "block": 6,180   "row": 41311181  },182  {183   "path": "code/run_kdm_v4.py",184   "sha256": "a40bf7312d14c20adeffb6c23b26b5ec7932e9e67e29960f69e77544a9b5e594",185   "language": "Python",186   "lines": 243,187   "truncated": false,188   "block": 7,189   "row": 5462190  },191  {192   "path": "code/run_litesensor_t1.py",193   "sha256": "d005428ae23691777f93661b822fad5443cc281eb8bbeb96d6cd72f501c008ed",194   "language": "Python",195   "lines": 200,196   "truncated": false,197   "block": 7,198   "row": 843199  },200  {201   "path": "code/run_m1_flops_cycles.py",202   "sha256": "c637385f9a43fc9c86a850e616d6588012fcd19dea981c3a95bd32b1fb9dd4b3",203   "language": "Python",204   "lines": 98,205   "truncated": false,206   "block": 6,207   "row": 37931208  },209  {210   "path": "code/run_m2_deployment_artifact.py",211   "sha256": "8c9d5bac9d9b1591641c525f6f962126547898884c3bc60f85e284a7f2edd1b8",212   "language": "Python",213   "lines": 133,214   "truncated": false,215   "block": 6,216   "row": 43979217  },218  {219   "path": "code/run_random_split_kdm.py",220   "sha256": "cea4b6474b6a6fc9f64fee7225053d85f8916332e099f85a546597646578cf52",221   "language": "Python",222   "lines": 100,223   "truncated": false,224   "block": 6,225   "row": 40188226  },227  {228   "path": "code/run_s1_30splits.py",229   "sha256": "c838fc2b4c776a26324585cfaf341171a46bcb3b01986a190a85e64932fdbed7",230   "language": "Python",231   "lines": 122,232   "truncated": false,233   "block": 6,234   "row": 41983235  },236  {237   "path": "code/run_t3_qat.py",238   "sha256": "4a04d697952f27a21309f806d02b623f1303eb4df2f185e25f1484cb8e423135",239   "language": "Python",240   "lines": 202,241   "truncated": false,242   "block": 7,243   "row": 897244  },245  {246   "path": "code/run_t4_loo.py",247   "sha256": "9eecde02a1e618ec9485c351c797d6cc0d5d62fb1ad38ecf5536469aab2e10f1",248   "language": "Python",249   "lines": 150,250   "truncated": false,251   "block": 6,252   "row": 44476253  },254  {255   "path": "code/run_t67.py",256   "sha256": "1d09d688673c7f4005ea5e0b60085c6aeebf2300028edb94789f854037321557",257   "language": "Python",258   "lines": 150,259   "truncated": false,260   "block": 6,261   "row": 44455262  },263  {264   "path": "code/run_t8_worner.py",265   "sha256": "ea230054076e846cd3062805c0962ba375b347e95ca315c30924cfe2788aafa6",266   "language": "Python",267   "lines": 252,268   "truncated": false,269   "block": 7,270   "row": 4090271  },272  {273   "path": "code/run_table3_correction.py",274   "sha256": "736a6972a88a37153214b9de3da8b67b58f2f74f1c7c981b3b9d6bba131f6327",275   "language": "Python",276   "lines": 162,277   "truncated": false,278   "block": 6,279   "row": 43566280  },281  {282   "path": "code/scripts/download_data.sh",283   "sha256": "a893ecc5821759b8c45d97799e5cb2e1c4a258d82fe8ffad6d6cbcbff291b2e3",284   "language": "Shell",285   "lines": 38,286   "truncated": false,287   "block": 8,288   "row": 8015289  },290  {291   "path": "code/scripts/mcu_deployment/npz_to_c_array.py",292   "sha256": "7cba972de3918270947b6164a4abebe09337ce31b0eb6a91753749c9019c53d1",293   "language": "Python",294   "lines": 36,295   "truncated": false,296   "block": 6,297   "row": 27808298  },299  {300   "path": "code/scripts/reproduce_all_paper.sh",301   "sha256": "67c06bda2115b8d4dc03bf2bc19078abbf4bacdd00559ad46925bf52b6720838",302   "language": "Shell",303   "lines": 64,304   "truncated": false,305   "block": 8,306   "row": 8319307  },308  {309   "path": "code/scripts/reproduce_table3.sh",310   "sha256": "47f404a3f15aaf118ea49a7d3ac8a675fd79eeb14c70c254733589113a00813a",311   "language": "Shell",312   "lines": 58,313   "truncated": false,314   "block": 8,315   "row": 8477316  },317  {318   "path": "code/tests/test_smoke.py",319   "sha256": "c52e876f8e2e06fb955a5d240ba05a7a63b3ede5b69f8b0474bff7ed56061024",320   "language": "Python",321   "lines": 128,322   "truncated": false,323   "block": 6,324   "row": 40628325  }326 ]327}