Toolbox for optimization on Riemannian manifolds with support for automatic differentiation

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  • License: BSD License (BSD 3-Clause License)
  • Author: Jamie Townsend, Niklas Koep, Sebastian Weichwald
  • Tags manifolds, optimization, automatic differentiation
  • Requires: Python >=3.8
  • Provides-Extra: all, autograd, backends, ci, dev, docs, jax, tensorflow, torch
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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.

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Avatar for antoinecollas from gravatar.com antoinecollas Avatar for j-towns from gravatar.com j-towns Avatar for nkoep from gravatar.com nkoep Avatar for sweichwald from gravatar.com sweichwald

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  • License: BSD License (BSD 3-Clause License)
  • Author: Jamie Townsend, Niklas Koep, Sebastian Weichwald
  • Tags manifolds, optimization, automatic differentiation
  • Requires: Python >=3.8
  • Provides-Extra: all, autograd, backends, ci, dev, docs, jax, tensorflow, torch
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