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<section id="contributors">

<h1>Contributors<a class="headerlink" href="#contributors" title="Link to this heading"></a></h1>

<section id="creators-and-maintainers">

<h2>Creators and Maintainers<a class="headerlink" href="#creators-and-maintainers" title="Link to this heading"></a></h2>

<p>This toolbox has been created by <a class="reference external" href="https://remi.flamary.com/">Rémi Flamary</a>

and <a class="reference external" href="http://people.irisa.fr/Nicolas.Courty/">Nicolas Courty</a>.</p>

<p>It is currently maintained by :</p>

<ul class="simple">

<li><p><a class="reference external" href="https://remi.flamary.com/">Rémi Flamary</a></p></li>

<li><p><a class="reference external" href="https://cedricvincentcuaz.github.io/">Cédric Vincent-Cuaz</a></p></li>

</ul>

</section>

<section id="id1">

<h2>Contributors<a class="headerlink" href="#id1" title="Link to this heading"></a></h2>

<a href="https://github.com/PythonOT/POT/graphs/contributors">

<img src="https://contrib.rocks/image?repo=PythonOT/POT" />

</a>

<p>The contributors to this library are:</p>

<ul class="simple">

<li><p><a class="reference external" href="http://remi.flamary.com/">Rémi Flamary</a> (EMD wrapper, Pytorch backend, DA

classes, conditional gradients, WDA, weak OT, linear OT mapping, documentation)</p></li>

<li><p><a class="reference external" href="http://people.irisa.fr/Nicolas.Courty/">Nicolas Courty</a> (Original sinkhorn,

Wasserstein barycenters and convolutional barycenters, 1D wasserstein)</p></li>

<li><p><a class="reference external" href="http://alexandre.gramfort.net/">Alexandre Gramfort</a> (CI, documentation)</p></li>

<li><p><a class="reference external" href="http://people.irisa.fr/Laetitia.Chapel/">Laetitia Chapel</a> (Partial OT,

Unbalanced OT non-regularized)</p></li>

<li><p><a class="reference external" href="http://perso.univ-st-etienne.fr/pem82055/">Michael Perrot</a> (Mapping estimation)</p></li>

<li><p><a class="reference external" href="https://github.com/aje">Léo Gautheron</a> (Initial GPU implementation)</p></li>

<li><p><a class="reference external" href="https://www.linkedin.com/in/nathalie-t-h-gayraud/?ppe=1">Nathalie Gayraud</a> (DA classes)</p></li>

<li><p><a class="reference external" href="https://slasnista.github.io/">Stanislas Chambon</a> (DA classes)</p></li>

<li><p><a class="reference external" href="https://arolet.github.io/">Antoine Rolet</a> (EMD solver debug)</p></li>

<li><p>Erwan Vautier (Gromov-Wasserstein)</p></li>

<li><p><a class="reference external" href="https://kilianfatras.github.io/">Kilian Fatras</a> (Stochastic solvers,

empirical sinkhorn)</p></li>

<li><p><a class="reference external" href="https://sites.google.com/site/alainrakotomamonjy/home">Alain Rakotomamonjy</a> (Greenkhorn)</p></li>

<li><p><a class="reference external" href="https://tvayer.github.io/">Vayer Titouan</a> (Gromov-Wasserstein, Fused-Gromov-Wasserstein)</p></li>

<li><p><a class="reference external" href="https://hichamjanati.github.io/">Hicham Janati</a> (Unbalanced OT, Debiased barycenters)</p></li>

<li><p><a class="reference external" href="https://rtavenar.github.io/">Romain Tavenard</a> (1D Wasserstein)</p></li>

<li><p><a class="reference external" href="http://mzalaya.github.io/">Mokhtar Z. Alaya</a> (Screenkhorn)</p></li>

<li><p><a class="reference external" href="https://ievred.github.io/">Ievgen Redko</a> (Laplacian DA, JCPOT)</p></li>

<li><p><a class="reference external" href="https://adriencorenflos.github.io/">Adrien Corenflos</a> (Sliced Wasserstein Distance)</p></li>

<li><p><a class="reference external" href="https://hv0nnus.github.io/">Tanguy Kerdoncuff</a> (Sampled Gromov Wasserstein)</p></li>

<li><p><a class="reference external" href="https://mhhuang95.github.io">Minhui Huang</a> (Projection Robust Wasserstein Distance)</p></li>

<li><p><a class="reference external" href="https://github.com/ncassereau-idris">Nathan Cassereau</a> (Backends)</p></li>

<li><p><a class="reference external" href="https://github.com/cedricvincentcuaz">Cédric Vincent-Cuaz</a> (Graph Dictionary Learning, FGW,

semi-relaxed FGW, quantized FGW, partial FGW)</p></li>

<li><p><a class="reference external" href="https://github.com/eloitanguy">Eloi Tanguy</a> (Generalized Wasserstein

Barycenters, GMMOT, Barycenters for General Transport Costs)</p></li>

<li><p><a class="reference external" href="https://www.linkedin.com/in/camille-le-coz-8593b91a1/">Camille Le Coz</a> (EMD2 debug)</p></li>

<li><p><a class="reference external" href="https://eddardd.github.io/my-personal-blog/">Eduardo Fernandes Montesuma</a> (Free support sinkhorn barycenter)</p></li>

<li><p><a class="reference external" href="https://github.com/tgnassou">Theo Gnassounou</a> (OT between Gaussian distributions)</p></li>

<li><p><a class="reference external" href="https://clbonet.github.io">Clément Bonet</a> (Wasserstein on circle, Spherical Sliced-Wasserstein)</p></li>

<li><p><a class="reference external" href="https://ronakrm.github.io">Ronak Mehta</a> (Efficient Discrete Multi Marginal Optimal Transport Regularization)</p></li>

<li><p><a class="reference external" href="https://github.com/x12hengyu">Xizheng Yu</a> (Efficient Discrete Multi Marginal Optimal Transport Regularization)</p></li>

<li><p><a class="reference external" href="https://github.com/SoniaMaz8">Sonia Mazelet</a> (Template based GNN layers)</p></li>

<li><p><a class="reference external" href="https://github.com/laudavid">Laurène David</a> (Low rank sinkhorn, Low rank Gromov-Wasserstein samples)</p></li>

<li><p><a class="reference external" href="https://judelo.github.io/">Julie Delon</a> (GMM OT)</p></li>

<li><p><a class="reference external" href="https://samuelbx.github.io/">Samuel Boïté</a> (GMM OT)</p></li>

<li><p><a class="reference external" href="https://github.com/nathanneike">Nathan Neike</a> (Sparse EMD solver)</p></li>

<li><p><a class="reference external" href="https://thibaut-germain.github.io">Thibaut Germain</a> (SGOT)</p></li>

<li><p>Sienna O’Shea (SGOT)</p></li>

<li><p><a class="reference external" href="https://github.com/huytransformer">Huy Tran</a> (Stereographic Spherical Sliced-Wasserstein)</p></li>

<li><p><a class="reference external" href="https://github.com/Samuel-Vangu">Samuel Vangu</a> (Quasi-Monte Carlo Sliced-Wasserstein)</p></li>

<li><p><a class="reference external" href="https://github.com/xihaian251">xihaian251</a> (Unbalanced OT objective correctness and regression tests)</p></li>

</ul>

</section>

<section id="acknowledgments">

<h2>Acknowledgments<a class="headerlink" href="#acknowledgments" title="Link to this heading"></a></h2>

<p>This toolbox benefit a lot from open source research and we would like to thank the following persons for providing some code (in various languages):</p>

<ul class="simple">

<li><p><a class="reference external" href="http://gpeyre.github.io/">Gabriel Peyré</a> (Wasserstein Barycenters in Matlab)</p></li>

<li><p><a class="reference external" href="https://mblondel.org/">Mathieu Blondel</a> (original implementation smooth OT)</p></li>

<li><p><a class="reference external" href="http://liris.cnrs.fr/~nbonneel/">Nicolas Bonneel</a> (C++ code for EMD)</p></li>

<li><p><a class="reference external" href="http://marcocuturi.net/">Marco Cuturi</a> (Sinkhorn Knopp in Matlab/Cuda)</p></li>

</ul>

<p>POT has benefited from the financing or manpower from the following partners:</p>

<p><img src="https://pythonot.github.io/master/_static/images/logo_anr.jpg" alt="ANR" style="height:60px;"/><img src="https://pythonot.github.io/master/_static/images/logo_cnrs.jpg" alt="CNRS" style="height:60px;"/><img src="https://pythonot.github.io/master/_static/images/logo_3ia.jpg" alt="3IA" style="height:60px;"/><img src="https://pythonot.github.io/master/_static/images/logo_hiparis.png" alt="Hi!PARIS" style="height:60px;"/></p>

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