{ "format": "oscr-script-manifest/1", "repository": "github.com/chenebuah/q-catnet", "url": "https://github.com/chenebuah/Q-CatNet", "host": "github.com", "commit": "ccb7406080e3df9efc31c82574c2e152e73d3f12", "license": "MIT", "license_confirmed_by": "license file LICENSE", "redistribution": "yes", "files": [ { "path": "Descriptor.py", "sha256": "1f362c41f1441b7eb7c6e61a9ac74a358ae2355d5fbd0954396fa79bc07d92f0", "language": "Python", "lines": 554, "truncated": false, "block": 7, "row": 10557 }, { "path": "LICENSE", "sha256": "f10cfb0112ce42eb2fadb5f06381f0b50c462479d71c1a72ca4ad2b9b02871f1", "language": "License", "lines": 21, "truncated": false, "block": 6, "row": 1741 }, { "path": "Learning_Model.py", "sha256": "b8ae72662f151d6e87ec999b6c02611b7e3ee76489c78e0244fcbdc7fef5cd9e", "language": "Python", "lines": 155, "truncated": false, "block": 6, "row": 45214 }, { "path": "README.md", "sha256": "da84a0ad77543ef1c0491aeab9f24bb7d1e1dec37e6f76483f41e94cbddafeba", "language": "Text", "lines": 1, "truncated": false, "block": 8, "row": 9447 }, { "path": "equivariant_baselines/dimenetpp_baseline.py", "sha256": "9d4a501d29fa43a0a8366c2977e0dea33c03c85b1856867a2a4f2b842af3a4df", "language": "Python", "lines": 537, "truncated": false, "block": 7, "row": 8440 }, { "path": "equivariant_baselines/equiformerv2_baseline.py", "sha256": "9c628ba8e3cd292ac2809778ab475972eb2c25b5c07af253d0e67765b114f84d", "language": "Python", "lines": 386, "truncated": false, "block": 7, "row": 6089 }, { "path": "equivariant_baselines/gemnet_t_baseline.py", "sha256": "85e3036913b286d8adf77ed49e19662ae353898fd946cf8bae71354ebbe6aa1d", "language": "Python", "lines": 306, "truncated": false, "block": 7, "row": 4117 }, { "path": "equivariant_baselines/mace_baseline.py", "sha256": "89410d27eb9873a48ef047eff177b768fa9caaa94f45682375217c6885a545a1", "language": "Python", "lines": 393, "truncated": false, "block": 7, "row": 6133 } ] }