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authorRémi Flamary <remi.flamary@gmail.com>2018-02-20 16:11:51 +0100
committerRémi Flamary <remi.flamary@gmail.com>2018-02-20 16:11:51 +0100
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@@ -1,7 +1,8 @@
POT: Python Optimal Transport
=============================
-|PyPI version| |Build Status| |Documentation Status|
+|PyPI version| |Build Status| |Documentation Status| |Anaconda Cloud|
+|License| |Anaconda downloads|
This open source Python library provide several solvers for optimization
problems related to Optimal Transport for signal, image processing and
@@ -172,6 +173,10 @@ want a quick look:
images <https://github.com/rflamary/POT/blob/master/notebooks/plot_otda_mapping_colors_images.ipynb>`__
- `Wasserstein Discriminant
Analysis <https://github.com/rflamary/POT/blob/master/notebooks/plot_WDA.ipynb>`__
+- `Gromov
+ Wasserstein <https://github.com/rflamary/POT/blob/master/notebooks/plot_gromov.ipynb>`__
+- `Gromov Wasserstein
+ Barycenter <https://github.com/rflamary/POT/blob/master/notebooks/plot_gromov_barycenter.ipynb>`__
You can also see the notebooks with `Jupyter
nbviewer <https://nbviewer.jupyter.org/github/rflamary/POT/tree/master/notebooks/>`__.
@@ -192,6 +197,7 @@ The contributors to this library are:
Gayraud <https://www.linkedin.com/in/nathalie-t-h-gayraud/?ppe=1>`__
- `Stanislas Chambon <https://slasnista.github.io/>`__
- `Antoine Rolet <https://arolet.github.io/>`__
+- Erwan Vautier (Gromov-Wasserstein)
This toolbox benefit a lot from open source research and we would like
to thank the following persons for providing some code (in various
@@ -204,6 +210,20 @@ languages):
- `Marco Cuturi <http://marcocuturi.net/>`__ (Sinkhorn Knopp in
Matlab/Cuda)
+Using and citing the toolbox
+----------------------------
+
+If you use this toolbox in your research and find it useful, please cite
+POT using the following bibtex reference:
+
+::
+
+ @article{flamary2017pot,
+ title={POT Python Optimal Transport library},
+ author={Flamary, R{\'e}mi and Courty, Nicolas},
+ year={2017}
+ }
+
Contributions and code of conduct
---------------------------------
@@ -292,3 +312,9 @@ International Conference on Machine Learning (ICML). 2016.
:target: https://travis-ci.org/rflamary/POT
.. |Documentation Status| image:: https://readthedocs.org/projects/pot/badge/?version=latest
:target: http://pot.readthedocs.io/en/latest/?badge=latest
+.. |Anaconda Cloud| image:: https://anaconda.org/conda-forge/pot/badges/version.svg
+ :target: https://anaconda.org/conda-forge/pot
+.. |License| image:: https://anaconda.org/conda-forge/pot/badges/license.svg
+ :target: https://github.com/rflamary/POT/blob/master/LICENSE
+.. |Anaconda downloads| image:: https://anaconda.org/conda-forge/pot/badges/downloads.svg
+ :target: https://anaconda.org/conda-forge/pot