Download manifests/2a/github.com__project-lonsdale__graphai-v1.json from OpenScientificCodeRegistry/Database: direct link, hf CLI and curl.
- Browser
- Download file 3.52 kB
-
https://huggingface.co/datasets/OpenScientificCodeRegistry/Database/resolve/main/manifests/2a/github.com__project-lonsdale__graphai-v1.json
- Command line
-
hf download hf://datasets/OpenScientificCodeRegistry/Database/manifests/2a/github.com__project-lonsdale__graphai-v1.json
-
curl -L -o github.com__project-lonsdale__graphai-v1.json https://huggingface.co/datasets/OpenScientificCodeRegistry/Database/resolve/main/manifests/2a/github.com__project-lonsdale__graphai-v1.json
3.52 kB
| { | |
| "format": "oscr-script-manifest/1", | |
| "repository": "github.com/project-lonsdale/graphai-v1", | |
| "url": "https://github.com/Project-Lonsdale/GraPhAI-v1/", | |
| "host": "github.com", | |
| "commit": "92af9a3288e6b9b00662c1601ce12b3ac8d52879", | |
| "license": "MIT", | |
| "license_confirmed_by": "license file LICENSE", | |
| "redistribution": "yes", | |
| "files": [ | |
| { | |
| "path": "GraPhAI.py", | |
| "sha256": "e7b312c0441eff2a10832117757c97d6b8c86d3248fd81a5057306271878f17d", | |
| "language": "Python", | |
| "lines": 312, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 6009 | |
| }, | |
| { | |
| "path": "LICENSE", | |
| "sha256": "51b6125672f987478b39c66a3429cef66023717fa868d4af6847b21253fb531f", | |
| "language": "License", | |
| "lines": 21, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 1687 | |
| }, | |
| { | |
| "path": "README.md", | |
| "sha256": "166218ae575c8a20c4a9cadf75726ed361860a947e822bb137c65c9c6c6dad7b", | |
| "language": "Text", | |
| "lines": 108, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 10522 | |
| }, | |
| { | |
| "path": "inference/phase_inference.py", | |
| "sha256": "504bafca8676a52810a85bdabc7ee19e3b3f4ffe9aeeaf95a82b14cbe88171f4", | |
| "language": "Python", | |
| "lines": 150, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 219 | |
| }, | |
| { | |
| "path": "sample_generation/EwaldTorch.py", | |
| "sha256": "485f3a22b8bbf1750d990f5e0b3a2676e60da2428b8cbf740e935bb8dc4c6074", | |
| "language": "Python", | |
| "lines": 73, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 38674 | |
| }, | |
| { | |
| "path": "sample_generation/Structure.py", | |
| "sha256": "efaa5047f048fcebd10383233fd2e7e3af8bdcf417d831cbc76b1836368e498a", | |
| "language": "Python", | |
| "lines": 1377, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 717 | |
| }, | |
| { | |
| "path": "sample_generation/StructureFactorIsoTorch.py", | |
| "sha256": "c79aa8d3c043d4489562ccbeddaf120340d14eae545d19aff029136f6a770715", | |
| "language": "Python", | |
| "lines": 168, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 1770 | |
| }, | |
| { | |
| "path": "sample_generation/SymmetryTorch.py", | |
| "sha256": "6b70ea8ce11070a2abcd0269edbf69382cbe78576fb8c995741e0a5c7258f723", | |
| "language": "Python", | |
| "lines": 137, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 44665 | |
| }, | |
| { | |
| "path": "sample_generation/diff_data_generator.py", | |
| "sha256": "30dbf4ed8239146963bc6b6c4a6f96b666371e2ac7c64cb09b8f4fe4072cb42c", | |
| "language": "Python", | |
| "lines": 81, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 39948 | |
| }, | |
| { | |
| "path": "sample_generation/graph_generator.py", | |
| "sha256": "8846f644a19fd130fd7347f718564f11e030093c122cf9746fd89f6e11f40867", | |
| "language": "Python", | |
| "lines": 162, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 2112 | |
| }, | |
| { | |
| "path": "sample_generation/structure_lmdb.py", | |
| "sha256": "7cfe6f704393375185f2b600912ac94b678efc59ebea397dbf046297061ed50f", | |
| "language": "Python", | |
| "lines": 106, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 40880 | |
| }, | |
| { | |
| "path": "training/phase_pred_base.py", | |
| "sha256": "9020e07188800b39e5aa6eb47063512b6f0851adae083f51b05a6228aec28239", | |
| "language": "Python", | |
| "lines": 213, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 2047 | |
| }, | |
| { | |
| "path": "training/phase_pred_models.py", | |
| "sha256": "04f1bf9c3ab32f716ca19a14b77031f145acf0c22db9137f689847910fc9cd90", | |
| "language": "Python", | |
| "lines": 156, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 42575 | |
| }, | |
| { | |
| "path": "training/train.py", | |
| "sha256": "2f0dbfe720d3adbf796835c56450c07985cfe25db8136d455d5cc1b861be08ca", | |
| "language": "Python", | |
| "lines": 162, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 45598 | |
| } | |
| ] | |
| } |