e3md


Namee3md JSON
Version 0.1.0 PyPI version JSON
download
home_pageNone
SummaryLibrary for machine learning on physical tensors
upload_time2024-05-26 20:30:46
maintainerNone
docs_urlNone
authorNone
requires_python>=3.8
licenseNone
keywords machine learning e3nn-jax physics
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            
e3md
====

e3md is an open-source code for building E(3)-equivariant interatomic potentials written in JAX, based on the ``tensorial`` library.


            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "e3md",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.8",
    "maintainer_email": null,
    "keywords": "machine learning, e3nn-jax, physics",
    "author": null,
    "author_email": "Martin Uhrin <martin.uhrin.10@ucl.ac.uk>",
    "download_url": "https://files.pythonhosted.org/packages/bb/4a/1b99d120feccd6268d9d37dac51229abb7fe64bf29965f81bb286231e0c5/e3md-0.1.0.tar.gz",
    "platform": null,
    "description": "\ne3md\n====\n\ne3md is an open-source code for building E(3)-equivariant interatomic potentials written in JAX, based on the ``tensorial`` library.\n\n",
    "bugtrack_url": null,
    "license": null,
    "summary": "Library for machine learning on physical tensors",
    "version": "0.1.0",
    "project_urls": {
        "Home": "https://github.com/muhrin/e3md",
        "Source": "https://github.com/muhrin/e3md"
    },
    "split_keywords": [
        "machine learning",
        " e3nn-jax",
        " physics"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "f50a12d36d1c9b076f79d84248c58b43c08f9bf577f927515550322ddbceeeea",
                "md5": "19e6bb509638c494f30a79ed72f031a8",
                "sha256": "18cb33dedc20eb844885799e2c960ad1827ab7f63bbb53daabd8c632e439adf4"
            },
            "downloads": -1,
            "filename": "e3md-0.1.0-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "19e6bb509638c494f30a79ed72f031a8",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.8",
            "size": 16932,
            "upload_time": "2024-05-26T20:30:44",
            "upload_time_iso_8601": "2024-05-26T20:30:44.026730Z",
            "url": "https://files.pythonhosted.org/packages/f5/0a/12d36d1c9b076f79d84248c58b43c08f9bf577f927515550322ddbceeeea/e3md-0.1.0-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "bb4a1b99d120feccd6268d9d37dac51229abb7fe64bf29965f81bb286231e0c5",
                "md5": "2bd34d58a0167e8f2fe82ca1485cebc9",
                "sha256": "928eec7f81633b4ebb0f0972ed7d41918f4d4aa0c311e12f5590661dbf81bb49"
            },
            "downloads": -1,
            "filename": "e3md-0.1.0.tar.gz",
            "has_sig": false,
            "md5_digest": "2bd34d58a0167e8f2fe82ca1485cebc9",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.8",
            "size": 14832,
            "upload_time": "2024-05-26T20:30:46",
            "upload_time_iso_8601": "2024-05-26T20:30:46.692581Z",
            "url": "https://files.pythonhosted.org/packages/bb/4a/1b99d120feccd6268d9d37dac51229abb7fe64bf29965f81bb286231e0c5/e3md-0.1.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-05-26 20:30:46",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "muhrin",
    "github_project": "e3md",
    "github_not_found": true,
    "lcname": "e3md"
}
        
Elapsed time: 0.23966s