Geomstats
(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 use
geomstats
, please kindly cite our paper.
Installation
OS X & Linux:
pip3 install geomstats
Running tests
pip3 install nose2
nose2
Getting started
Define your backend by setting the environment variable GEOMSTATS_BACKEND
to numpy
, tensorflow
, or pytorch
:
export GEOMSTATS_BACKEND=numpy
Then, run example scripts:
python3 examples/plot_grid_h2.py
Contributing
See our CONTRIBUTING.md file!
Authors & Contributors
- Alice Le Brigant
- Claire Donnat
- Oleg Kachan
- Benjamin Hou
- Johan Mathe
- Nina Miolane
- Xavier Pennec
Acknowledgements
This work is partially supported by the National Science Foundation, grant NSF DMS RTG 1501767.