(Coverages for: numpy, tensorflow, pytorch)

Computations and statistics on manifolds with geometric structures.

• To get started with geomstats, see the examples directory.
• For more in-depth applications of geomstats, see the applications repository.
• The documentation of geomstats can be found on the documentation website.
• If you find geomstats useful, please kindly cite our paper.

OS X & Linux:

pip3 install -r requirements.txt
pip3 install geomstats

Pytorch and tensorflow requirements are optional, as geomstats can be used with numpy only.

To change backend:

export GEOMSTATS_BACKEND=pytorch

Run example scripts, for example:

python3 examples/plot_grid_h2.py

Developers can install the dev-requirements:

pip3 install -r dev-requirements.txt

And run unit tests from this folder:

nose2 tests

See our contributing guidelines!

This work is supported by:

• the Inria-Stanford associated team GeomStats,
• the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (grant agreement G-Statistics No. 786854),
• the French society for applied and industrial mathematics (SMAI),
• the National Science Foundation (grant NSF DMS RTG 1501767).