pymanopt2.2.1

Published 3 months ago

Toolbox for optimization on Riemannian manifolds with support for automatic differentiation

pip install pymanopt

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homepage

Requires Python

>=3.8

Dependencies

numpy>=1.16.0
scipy!=1.10.*,!=1.11.*,!=1.12.*,>=1.0
pymanopt[backends,dev]; extra == "all"
autograd>=1.2; extra == "autograd"
pymanopt[autograd,jax,tensorflow,torch]; extra == "backends"
build==0.8.0; extra == "ci"
pip==22.3.1; extra == "ci"
setuptools==66.1.0; extra == "ci"
wheel==0.38.4; extra == "ci"
black[jupyter]==22.3.0; extra == "dev"
flake8==5.0.4; extra == "dev"
flake8-bugbear==22.12.6; extra == "dev"
flake8-docstrings==1.6.0; extra == "dev"
flake8-import-order==0.18.2; extra == "dev"
flake8-pyproject==1.2.2; extra == "dev"
isort==5.11.5; extra == "dev"
matplotlib; extra == "dev"
pre-commit; extra == "dev"
pytest==7.2.0; extra == "dev"
pytest-cov==4.0.0; extra == "dev"
docutils==0.16; extra == "docs"
ipykernel==6.4.2; extra == "docs"
myst-parser==0.16.1; extra == "docs"
nbsphinx==0.8.7; extra == "docs"
sphinx==4.2.0; extra == "docs"
sphinx-rtd-theme==1.0.0; extra == "docs"
sphinxcontrib-katex==0.8.6; extra == "docs"
jax>=0.2.0; extra == "jax"
jaxlib; extra == "jax"
tensorflow>=2.0.0; extra == "tensorflow"
torch>=1.0.0; extra == "torch"

Pymanopt

A Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation.

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Please refer to the documentation and this JMLR paper 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.

We encourage users and developers to report problems, request features, ask for help, or leave general comments either here on github or on gitter.

Pymanopt is distributed under the 3-clause BSD license.