11POT: Python Optimal Transport
22=============================
33
4- |PyPI version | |Build Status | |Documentation Status |
4+ |PyPI version | |Build Status | |Documentation Status | |Anaconda Cloud |
5+ |License | |Anaconda downloads |
56
67This open source Python library provide several solvers for optimization
78problems related to Optimal Transport for signal, image processing and
@@ -172,6 +173,10 @@ want a quick look:
172173 images <https://github.com/rflamary/POT/blob/master/notebooks/plot_otda_mapping_colors_images.ipynb> `__
173174- `Wasserstein Discriminant
174175 Analysis <https://github.com/rflamary/POT/blob/master/notebooks/plot_WDA.ipynb> `__
176+ - `Gromov
177+ Wasserstein <https://github.com/rflamary/POT/blob/master/notebooks/plot_gromov.ipynb> `__
178+ - `Gromov Wasserstein
179+ Barycenter <https://github.com/rflamary/POT/blob/master/notebooks/plot_gromov_barycenter.ipynb> `__
175180
176181You can also see the notebooks with `Jupyter
177182nbviewer <https://nbviewer.jupyter.org/github/rflamary/POT/tree/master/notebooks/> `__.
@@ -192,6 +197,7 @@ The contributors to this library are:
192197 Gayraud <https://www.linkedin.com/in/nathalie-t-h-gayraud/?ppe=1> `__
193198- `Stanislas Chambon <https://slasnista.github.io/ >`__
194199- `Antoine Rolet <https://arolet.github.io/ >`__
200+ - Erwan Vautier (Gromov-Wasserstein)
195201
196202This toolbox benefit a lot from open source research and we would like
197203to thank the following persons for providing some code (in various
@@ -204,6 +210,20 @@ languages):
204210- `Marco Cuturi <http://marcocuturi.net/ >`__ (Sinkhorn Knopp in
205211 Matlab/Cuda)
206212
213+ Using and citing the toolbox
214+ ----------------------------
215+
216+ If you use this toolbox in your research and find it useful, please cite
217+ POT using the following bibtex reference:
218+
219+ ::
220+
221+ @article{flamary2017pot,
222+ title={POT Python Optimal Transport library},
223+ author={Flamary, R{\'e}mi and Courty, Nicolas},
224+ year={2017}
225+ }
226+
207227Contributions and code of conduct
208228---------------------------------
209229
@@ -292,3 +312,9 @@ International Conference on Machine Learning (ICML). 2016.
292312 :target: https://travis-ci.org/rflamary/POT
293313.. |Documentation Status | image :: https://readthedocs.org/projects/pot/badge/?version=latest
294314 :target: http://pot.readthedocs.io/en/latest/?badge=latest
315+ .. |Anaconda Cloud | image :: https://anaconda.org/conda-forge/pot/badges/version.svg
316+ :target: https://anaconda.org/conda-forge/pot
317+ .. |License | image :: https://anaconda.org/conda-forge/pot/badges/license.svg
318+ :target: https://github.com/rflamary/POT/blob/master/LICENSE
319+ .. |Anaconda downloads | image :: https://anaconda.org/conda-forge/pot/badges/downloads.svg
320+ :target: https://anaconda.org/conda-forge/pot
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