Raw data
{
"_id": null,
"home_page": "https://github.com/lucidrains/equiformer-pytorch",
"name": "equiformer-pytorch",
"maintainer": null,
"docs_url": null,
"requires_python": null,
"maintainer_email": null,
"keywords": "artificial intelligence, deep learning, transformers, attention mechanism, equivariance, molecules, proteins",
"author": "Phil Wang",
"author_email": "lucidrains@gmail.com",
"download_url": "https://files.pythonhosted.org/packages/f2/bc/ec62fbd6fc04bb1ccbe8064ab3271a82064f06f813add90a177f542b5a70/equiformer_pytorch-0.5.4.tar.gz",
"platform": null,
"description": "",
"bugtrack_url": null,
"license": "MIT",
"summary": "Equiformer - SE3/E3 Graph Attention Transformer for Molecules and Proteins",
"version": "0.5.4",
"project_urls": {
"Homepage": "https://github.com/lucidrains/equiformer-pytorch"
},
"split_keywords": [
"artificial intelligence",
" deep learning",
" transformers",
" attention mechanism",
" equivariance",
" molecules",
" proteins"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "f2bcec62fbd6fc04bb1ccbe8064ab3271a82064f06f813add90a177f542b5a70",
"md5": "b006a7a83496a99e1140fa7535375d8d",
"sha256": "2937c4b7df5c280380db0018a6829ea7ed61d75ba9154e785ba1763237a85446"
},
"downloads": -1,
"filename": "equiformer_pytorch-0.5.4.tar.gz",
"has_sig": false,
"md5_digest": "b006a7a83496a99e1140fa7535375d8d",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 9214507,
"upload_time": "2024-11-17T14:18:04",
"upload_time_iso_8601": "2024-11-17T14:18:04.515863Z",
"url": "https://files.pythonhosted.org/packages/f2/bc/ec62fbd6fc04bb1ccbe8064ab3271a82064f06f813add90a177f542b5a70/equiformer_pytorch-0.5.4.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-11-17 14:18:04",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "lucidrains",
"github_project": "equiformer-pytorch",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"lcname": "equiformer-pytorch"
}