torchdiffeq

Name	torchdiffeq JSON
Version	0.2.5 JSON
	download
home_page	https://github.com/rtqichen/torchdiffeq
Summary	ODE solvers and adjoint sensitivity analysis in PyTorch.
upload_time	2024-11-21 20:20:11
maintainer	None
docs_url	None
author	Ricky Tian Qi Chen
requires_python	~=3.6
license	None
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": null,
    "docs_url": null,
    "requires_python": "~=3.6",
    "maintainer_email": null,
    "keywords": null,
    "author": "Ricky Tian Qi Chen",
    "author_email": "rtqichen@cs.toronto.edu",
    "download_url": "https://files.pythonhosted.org/packages/87/ec/a40aa124660f0ee65e6760cb53df6a82ad91a1a3ef1da5e747f1336644dd/torchdiffeq-0.2.5.tar.gz",
    "platform": null,
    "description": "",
    "bugtrack_url": null,
    "license": null,
    "summary": "ODE solvers and adjoint sensitivity analysis in PyTorch.",
    "version": "0.2.5",
    "project_urls": {
        "Homepage": "https://github.com/rtqichen/torchdiffeq"
    },
    "split_keywords": [],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "b935537f64f2d0b3cfebaae0f903b4e3a3b239abcc99d0f73cb15b9cee9b8212",
                "md5": "210271bbbe117ad6a19a80e0fa8581a8",
                "sha256": "aa1db4bed13bd04952f28a53cdf4336d1ab60417c1d9698d7a239fec1cf2bcf8"
            },
            "downloads": -1,
            "filename": "torchdiffeq-0.2.5-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "210271bbbe117ad6a19a80e0fa8581a8",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": "~=3.6",
            "size": 32902,
            "upload_time": "2024-11-21T20:20:09",
            "upload_time_iso_8601": "2024-11-21T20:20:09.938299Z",
            "url": "https://files.pythonhosted.org/packages/b9/35/537f64f2d0b3cfebaae0f903b4e3a3b239abcc99d0f73cb15b9cee9b8212/torchdiffeq-0.2.5-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "87eca40aa124660f0ee65e6760cb53df6a82ad91a1a3ef1da5e747f1336644dd",
                "md5": "4d4160624db085f42a1810c85f9280e0",
                "sha256": "b50d3760d13fd138dcceac651f4b80396f44fefcebd037a033fecfeaa9cc12e7"
            },
            "downloads": -1,
            "filename": "torchdiffeq-0.2.5.tar.gz",
            "has_sig": false,
            "md5_digest": "4d4160624db085f42a1810c85f9280e0",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": "~=3.6",
            "size": 31197,
            "upload_time": "2024-11-21T20:20:11",
            "upload_time_iso_8601": "2024-11-21T20:20:11.552969Z",
            "url": "https://files.pythonhosted.org/packages/87/ec/a40aa124660f0ee65e6760cb53df6a82ad91a1a3ef1da5e747f1336644dd/torchdiffeq-0.2.5.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-11-21 20:20:11",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "rtqichen",
    "github_project": "torchdiffeq",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": false,
    "lcname": "torchdiffeq"
}