https://github.com/pymanopt/pymanopt
Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation
https://github.com/pymanopt/pymanopt
manifold optimization
Last synced: 9 months ago
JSON representation
Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation
- Host: GitHub
- URL: https://github.com/pymanopt/pymanopt
- Owner: pymanopt
- License: bsd-3-clause
- Created: 2015-11-02T09:45:08.000Z (about 10 years ago)
- Default Branch: master
- Last Pushed: 2024-09-20T07:40:47.000Z (over 1 year ago)
- Last Synced: 2024-09-20T07:47:49.921Z (over 1 year ago)
- Topics: manifold, optimization
- Language: Python
- Homepage: https://pymanopt.org
- Size: 1.97 MB
- Stars: 747
- Watchers: 27
- Forks: 147
- Open Issues: 51
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
Awesome Lists containing this project
- awesome-python-fa - pymanopt - حل مسائل بهینهسازی روی مانیفولدها. (ریاضی / کار با زمان و تقویم)
README
# 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).
