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docs/source/readme.rst

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@@ -172,6 +172,10 @@ want a quick look:
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images <https://github.com/rflamary/POT/blob/master/notebooks/plot_otda_mapping_colors_images.ipynb>`__
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- `Wasserstein Discriminant
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Analysis <https://github.com/rflamary/POT/blob/master/notebooks/plot_WDA.ipynb>`__
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- `Gromov
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Wasserstein <https://github.com/rflamary/POT/blob/master/notebooks/plot_gromov.ipynb>`__
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- `Gromov Wasserstein
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Barycenter <https://github.com/rflamary/POT/blob/master/notebooks/plot_gromov_barycenter.ipynb>`__
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You can also see the notebooks with `Jupyter
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nbviewer <https://nbviewer.jupyter.org/github/rflamary/POT/tree/master/notebooks/>`__.
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Gayraud <https://www.linkedin.com/in/nathalie-t-h-gayraud/?ppe=1>`__
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- `Stanislas Chambon <https://slasnista.github.io/>`__
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- `Antoine Rolet <https://arolet.github.io/>`__
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- Erwan Vautier (Gromov-Wasserstein)
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This toolbox benefit a lot from open source research and we would like
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to thank the following persons for providing some code (in various
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- `Marco Cuturi <http://marcocuturi.net/>`__ (Sinkhorn Knopp in
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Matlab/Cuda)
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Using and citing the toolbox
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----------------------------
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If you use this toolbox in your research and find it useful, please cite
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POT using the following bibtex reference:
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::
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@article{flamary2017pot,
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title={POT Python Optimal Transport library},
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author={Flamary, R{\'e}mi and Courty, Nicolas},
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year={2017}
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}
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Contributions and code of conduct
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---------------------------------
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matrices <http://proceedings.mlr.press/v48/peyre16.html>`__
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International Conference on Machine Learning (ICML). 2016.
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[13] Mémoli, Facundo. `Gromov–Wasserstein distances and the metric
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approach to object
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matching <https://media.adelaide.edu.au/acvt/Publications/2011/2011-Gromov%E2%80%93Wasserstein%20Distances%20and%20the%20Metric%20Approach%20to%20Object%20Matching.pdf>`__.
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Foundations of computational mathematics 11.4 (2011): 417-487.
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.. |PyPI version| image:: https://badge.fury.io/py/POT.svg
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:target: https://badge.fury.io/py/POT
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.. |Build Status| image:: https://travis-ci.org/rflamary/POT.svg?branch=master

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