Download manifests/16/github.com__yymgch__mirnn-robust.json from OpenScientificCodeRegistry/Database: direct link, hf CLI and curl.
- Browser
- Download file 3.69 kB
-
https://huggingface.co/datasets/OpenScientificCodeRegistry/Database/resolve/main/manifests/16/github.com__yymgch__mirnn-robust.json
- Command line
-
hf download hf://datasets/OpenScientificCodeRegistry/Database/manifests/16/github.com__yymgch__mirnn-robust.json
-
curl -L -o github.com__yymgch__mirnn-robust.json https://huggingface.co/datasets/OpenScientificCodeRegistry/Database/resolve/main/manifests/16/github.com__yymgch__mirnn-robust.json
3.69 kB
| { | |
| "format": "oscr-script-manifest/1", | |
| "repository": "github.com/yymgch/mirnn-robust", | |
| "url": "https://github.com/yymgch/mirnn-robust", | |
| "host": "github.com", | |
| "commit": "e17ca3f28aa5ef40e832a421fa4a0e64caba773b", | |
| "license": "MIT", | |
| "license_confirmed_by": "license file LICENSE", | |
| "redistribution": "yes", | |
| "files": [ | |
| { | |
| "path": "LICENSE", | |
| "sha256": "0fed32ae072c4566df51b33d433f2015a1e0eaa7621b305abba52b32d9c002a7", | |
| "language": "License", | |
| "lines": 21, | |
| "truncated": false, | |
| "block": 3, | |
| "row": 8018 | |
| }, | |
| { | |
| "path": "README.md", | |
| "sha256": "abe69d9f61e881e91e87c53786c7b6e10b84b46197b642b47f9be7fe4d58a4ad", | |
| "language": "Text", | |
| "lines": 108, | |
| "truncated": false, | |
| "block": 4, | |
| "row": 2593 | |
| }, | |
| { | |
| "path": "analyze_ablation_stats.py", | |
| "sha256": "9b39cc6e4968de563f065bd9ca0b3fba9065f5b8ed384ae636eca7ea0aa9ecfb", | |
| "language": "Python", | |
| "lines": 128, | |
| "truncated": false, | |
| "block": 3, | |
| "row": 23268 | |
| }, | |
| { | |
| "path": "analyze_mechanism.py", | |
| "sha256": "75acf61854066bce21a1cc421e7e80a6fe77296dbe4bc2bf92d40486d4cd9032", | |
| "language": "Python", | |
| "lines": 112, | |
| "truncated": false, | |
| "block": 3, | |
| "row": 22597 | |
| }, | |
| { | |
| "path": "analyze_noise_metrics.py", | |
| "sha256": "b2cb98b18f7aebceb1e73c0ea1fc78640d87f38c4d985c6995da592c79e1b1d4", | |
| "language": "Python", | |
| "lines": 160, | |
| "truncated": false, | |
| "block": 3, | |
| "row": 23708 | |
| }, | |
| { | |
| "path": "determine_orientations.py", | |
| "sha256": "8105aeec4be1a99eb67e6c8969923a41d55ec43021ac3ed16bb8b160ad94a9e3", | |
| "language": "Python", | |
| "lines": 116, | |
| "truncated": false, | |
| "block": 3, | |
| "row": 22856 | |
| }, | |
| { | |
| "path": "generate_chaos_signals.py", | |
| "sha256": "439fa45bf67ae5834115e4468bc90481c23da272ce40192a0d9cc37a2d9bf1c5", | |
| "language": "Python", | |
| "lines": 171, | |
| "truncated": false, | |
| "block": 3, | |
| "row": 23255 | |
| }, | |
| { | |
| "path": "generate_fig3_noise_robustness_data.py", | |
| "sha256": "15b1350aa67f2f9daadc9ff3698802d3b99087fd855709fb1fc272b846c9ea7a", | |
| "language": "Python", | |
| "lines": 235, | |
| "truncated": false, | |
| "block": 3, | |
| "row": 24796 | |
| }, | |
| { | |
| "path": "generate_fig4_dropout_robustness_data.py", | |
| "sha256": "fbea81b2e665eb84979723ba796c13455f7c987e34b014a582c4aa1f607daecf", | |
| "language": "Python", | |
| "lines": 319, | |
| "truncated": false, | |
| "block": 3, | |
| "row": 26085 | |
| }, | |
| { | |
| "path": "make_fig2.py", | |
| "sha256": "d74c88489cf0e7b60aa13d776c09c4372d9b7dc5dd2a67d87b6ddff444d86224", | |
| "language": "Python", | |
| "lines": 223, | |
| "truncated": false, | |
| "block": 3, | |
| "row": 23928 | |
| }, | |
| { | |
| "path": "plot_dropout_robustness_from_saved.py", | |
| "sha256": "27e55ed9d74b0f59269a805302549e8693955bb69f27b2ed3786b71465849e3c", | |
| "language": "Python", | |
| "lines": 197, | |
| "truncated": false, | |
| "block": 3, | |
| "row": 23272 | |
| }, | |
| { | |
| "path": "plot_fig3_noise_robustness.py", | |
| "sha256": "467b13ba914c15871b5f4343585836145c49fbc2463547fdbe34e168536a8e69", | |
| "language": "Python", | |
| "lines": 186, | |
| "truncated": false, | |
| "block": 3, | |
| "row": 23341 | |
| }, | |
| { | |
| "path": "run_smoke_test.sh", | |
| "sha256": "99eff56ea0c10c699caff7ea08eedec9f616ade5cb480c1a725d59d402204c09", | |
| "language": "Shell", | |
| "lines": 216, | |
| "truncated": false, | |
| "block": 4, | |
| "row": 2195 | |
| }, | |
| { | |
| "path": "select_accepted_models.py", | |
| "sha256": "356ca508e660b62c7779d3d65cb712bbaa38b7dd4d55a05d16799db5ef7f0456", | |
| "language": "Python", | |
| "lines": 162, | |
| "truncated": false, | |
| "block": 3, | |
| "row": 23790 | |
| }, | |
| { | |
| "path": "train_and_save_models.py", | |
| "sha256": "129cb8bdc1b6b74260d2edebfee3dcd396ff2f62627d0a26ac1d98dd7e38885a", | |
| "language": "Python", | |
| "lines": 576, | |
| "truncated": false, | |
| "block": 3, | |
| "row": 27145 | |
| } | |
| ] | |
| } |