<a href="https://pymanopt.org"><img src="docs/logo.png?raw=true" width="150" align="right"/></a>
# Pymanopt
> A Python toolbox for optimization on Riemannian manifolds with support for
> automatic differentiation.
| Overview | |
| -------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| Latest version | [](https://badge.fury.io/py/pymanopt) [](https://doi.org/10.5281/zenodo.7500014) |
| Downloads | [](https://pepy.tech/project/pymanopt) |
| Build status | [](https://github.com/pymanopt/pymanopt/actions/workflows/run_tests.yml) |
| Coverage | [](https://coveralls.io/github/pymanopt/pymanopt?branch=master) |
| Code quality | [](https://www.codacy.com/gh/pymanopt/pymanopt/dashboard?utm_source=github.com&utm_medium=referral&utm_content=pymanopt/pymanopt&utm_campaign=Badge_Grade) [](https://github.com/pymanopt/pymanopt/actions/workflows/codeql.yml) |
| Community | [](https://gitter.im/pymanopt/pymanopt?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) |
Please refer to the **[documentation](https://pymanopt.org/docs/)** and this
[JMLR paper](http://www.jmlr.org/papers/v17/16-177.html) to get started with
optimization on manifolds using Pymanopt.
If you wish to extend Pymanopt's functionality and/or contribute to the project
please refer to the [contributing guide](CONTRIBUTING.md).
We encourage users and developers to report problems, request features,
ask for help, or leave general comments either here on github or on
[gitter](https://gitter.im/pymanopt/pymanopt).
Pymanopt is distributed under the [3-clause BSD license](LICENSE).
Raw data
{
"_id": null,
"home_page": "",
"name": "pymanopt",
"maintainer": "",
"docs_url": null,
"requires_python": ">=3.7",
"maintainer_email": "",
"keywords": "manifolds,optimization,automatic differentiation",
"author": "Jamie Townsend, Niklas Koep, Sebastian Weichwald",
"author_email": "",
"download_url": "https://files.pythonhosted.org/packages/c1/33/5954483bc9b6eb450d7bb538b45ec194cb85e3d71d1b44f56d33d2299abe/pymanopt-2.2.0.tar.gz",
"platform": null,
"description": "<a href=\"https://pymanopt.org\"><img src=\"docs/logo.png?raw=true\" width=\"150\" align=\"right\"/></a>\n\n# Pymanopt\n\n> A Python toolbox for optimization on Riemannian manifolds with support for\n> automatic differentiation.\n\n| Overview | |\n| -------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |\n| Latest version | [](https://badge.fury.io/py/pymanopt) [](https://doi.org/10.5281/zenodo.7500014) |\n| Downloads | [](https://pepy.tech/project/pymanopt) |\n| Build status | [](https://github.com/pymanopt/pymanopt/actions/workflows/run_tests.yml) |\n| Coverage | [](https://coveralls.io/github/pymanopt/pymanopt?branch=master) |\n| Code quality | [](https://www.codacy.com/gh/pymanopt/pymanopt/dashboard?utm_source=github.com&utm_medium=referral&utm_content=pymanopt/pymanopt&utm_campaign=Badge_Grade) [](https://github.com/pymanopt/pymanopt/actions/workflows/codeql.yml) |\n| Community | [](https://gitter.im/pymanopt/pymanopt?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) |\n\nPlease refer to the **[documentation](https://pymanopt.org/docs/)** and this\n[JMLR paper](http://www.jmlr.org/papers/v17/16-177.html) to get started with\noptimization on manifolds using Pymanopt.\nIf you wish to extend Pymanopt's functionality and/or contribute to the project\nplease refer to the [contributing guide](CONTRIBUTING.md).\n\nWe encourage users and developers to report problems, request features,\nask for help, or leave general comments either here on github or on\n[gitter](https://gitter.im/pymanopt/pymanopt).\n\nPymanopt is distributed under the [3-clause BSD license](LICENSE).\n",
"bugtrack_url": null,
"license": "BSD 3-Clause License",
"summary": "Toolbox for optimization on Riemannian manifolds with support for automatic differentiation",
"version": "2.2.0",
"project_urls": {
"homepage": "https://pymanopt.org"
},
"split_keywords": [
"manifolds",
"optimization",
"automatic differentiation"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "01445de3e8e3b349526d2cce29fe35c344a1d193479402f19c005fb2c912321d",
"md5": "9604559851c06f5df42a301ba921a372",
"sha256": "87d044770d3ea271d5a9a56c767a2a9725e6318a07fb5aea6aedb744b13b12bf"
},
"downloads": -1,
"filename": "pymanopt-2.2.0-py3-none-any.whl",
"has_sig": false,
"md5_digest": "9604559851c06f5df42a301ba921a372",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.7",
"size": 71812,
"upload_time": "2023-10-02T07:48:17",
"upload_time_iso_8601": "2023-10-02T07:48:17.769518Z",
"url": "https://files.pythonhosted.org/packages/01/44/5de3e8e3b349526d2cce29fe35c344a1d193479402f19c005fb2c912321d/pymanopt-2.2.0-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "c1335954483bc9b6eb450d7bb538b45ec194cb85e3d71d1b44f56d33d2299abe",
"md5": "9e9732a91bdb8ee232e6bfc679e4a25d",
"sha256": "655e93b7e0bebd87b3a330496089d89ffcb09b00dc91a6ca1b6aafc1d18dfab7"
},
"downloads": -1,
"filename": "pymanopt-2.2.0.tar.gz",
"has_sig": false,
"md5_digest": "9e9732a91bdb8ee232e6bfc679e4a25d",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.7",
"size": 425549,
"upload_time": "2023-10-02T07:48:19",
"upload_time_iso_8601": "2023-10-02T07:48:19.364496Z",
"url": "https://files.pythonhosted.org/packages/c1/33/5954483bc9b6eb450d7bb538b45ec194cb85e3d71d1b44f56d33d2299abe/pymanopt-2.2.0.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-10-02 07:48:19",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "pymanopt"
}
JSON