torchdiffeq

Name	torchdiffeq JSON
Version	0.2.3 JSON
	download
home_page	https://github.com/rtqichen/torchdiffeq
Summary	ODE solvers and adjoint sensitivity analysis in PyTorch.
upload_time	2022-04-22 15:21:48
maintainer
docs_url	None
author	Ricky Tian Qi Chen
requires_python	~=3.6
license
keywords
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/rtqichen/torchdiffeq",
    "name": "torchdiffeq",
    "maintainer": "",
    "docs_url": null,
    "requires_python": "~=3.6",
    "maintainer_email": "",
    "keywords": "",
    "author": "Ricky Tian Qi Chen",
    "author_email": "rtqichen@cs.toronto.edu",
    "download_url": "https://files.pythonhosted.org/packages/61/7e/629146662e96da319fe237920b7d928a9832cbfa06c1d7ee8cdfe53ed450/torchdiffeq-0.2.3.tar.gz",
    "platform": null,
    "description": "",
    "bugtrack_url": null,
    "license": "",
    "summary": "ODE solvers and adjoint sensitivity analysis in PyTorch.",
    "version": "0.2.3",
    "project_urls": {
        "Homepage": "https://github.com/rtqichen/torchdiffeq"
    },
    "split_keywords": [],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "2c9bb9c3e17f261e30f630511390e0dd33fc529073f1f2db222a1f09dc49a1ae",
                "md5": "35913a21177f1c6edc593bc399ae3a65",
                "sha256": "b5b01ec1294a2d8d5f77e567bf17c5de1237c0573cb94deefa88326f0e18c338"
            },
            "downloads": -1,
            "filename": "torchdiffeq-0.2.3-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "35913a21177f1c6edc593bc399ae3a65",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": "~=3.6",
            "size": 31200,
            "upload_time": "2022-04-22T15:21:47",
            "upload_time_iso_8601": "2022-04-22T15:21:47.366726Z",
            "url": "https://files.pythonhosted.org/packages/2c/9b/b9c3e17f261e30f630511390e0dd33fc529073f1f2db222a1f09dc49a1ae/torchdiffeq-0.2.3-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "617e629146662e96da319fe237920b7d928a9832cbfa06c1d7ee8cdfe53ed450",
                "md5": "d59132051fc4e73940f875e0558e5eae",
                "sha256": "fe75f434b9090ac0c27702e02bed21472b0f87035be6581f51edc5d4013ea31a"
            },
            "downloads": -1,
            "filename": "torchdiffeq-0.2.3.tar.gz",
            "has_sig": false,
            "md5_digest": "d59132051fc4e73940f875e0558e5eae",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": "~=3.6",
            "size": 29274,
            "upload_time": "2022-04-22T15:21:48",
            "upload_time_iso_8601": "2022-04-22T15:21:48.912888Z",
            "url": "https://files.pythonhosted.org/packages/61/7e/629146662e96da319fe237920b7d928a9832cbfa06c1d7ee8cdfe53ed450/torchdiffeq-0.2.3.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2022-04-22 15:21:48",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "rtqichen",
    "github_project": "torchdiffeq",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": false,
    "lcname": "torchdiffeq"
}