Contributors
Creators and Maintainers
This toolbox has been created by
It is currently maintained by
Contributors
The contributors to this library are:
Rémi Flamary (EMD wrapper, Pytorch backend, DA classes, conditional gradients, WDA, weak OT, linear OT mapping, documentation)
Nicolas Courty (Original sinkhorn, Wasserstein barycenters and convolutional barycenters, 1D wasserstein)
Alexandre Gramfort (CI, documentation)
Laetitia Chapel (Partial OT, Unbalanced OT non-regularized)
Michael Perrot (Mapping estimation)
Léo Gautheron (Initial GPU implementation)
Nathalie Gayraud (DA classes)
Stanislas Chambon (DA classes)
Antoine Rolet (EMD solver debug)
Erwan Vautier (Gromov-Wasserstein)
Kilian Fatras (Stochastic solvers, empirical sinkhorn)
Alain Rakotomamonjy (Greenkhorn)
Vayer Titouan (Gromov-Wasserstein, Fused-Gromov-Wasserstein)
Hicham Janati (Unbalanced OT, Debiased barycenters)
Romain Tavenard (1D Wasserstein)
Mokhtar Z. Alaya (Screenkhorn)
Ievgen Redko (Laplacian DA, JCPOT)
Adrien Corenflos (Sliced Wasserstein Distance)
Tanguy Kerdoncuff (Sampled Gromov Wasserstein)
Minhui Huang (Projection Robust Wasserstein Distance)
Nathan Cassereau (Backends)
Cédric Vincent-Cuaz (Graph Dictionary Learning, FGW, semi-relaxed FGW, quantized FGW)
Eloi Tanguy (Generalized Wasserstein Barycenters, GMMOT)
Camille Le Coz (EMD2 debug)
Eduardo Fernandes Montesuma (Free support sinkhorn barycenter)
Theo Gnassounou (OT between Gaussian distributions)
Clément Bonet (Wassertstein on circle, Spherical Sliced-Wasserstein)
Ronak Mehta (Efficient Discrete Multi Marginal Optimal Transport Regularization)
Xizheng Yu (Efficient Discrete Multi Marginal Optimal Transport Regularization)
Sonia Mazelet (Template based GNN layers)
Laurène David (Low rank sinkhorn, Low rank Gromov-Wasserstein samples)
Julie Delon (GMM OT)
Acknowledgments
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):
Gabriel Peyré (Wasserstein Barycenters in Matlab)
Mathieu Blondel (original implementation smooth OT)
Nicolas Bonneel (C++ code for EMD)
Marco Cuturi (Sinkhorn Knopp in Matlab/Cuda)
POT has benefited from the financing or manpower from the following partners: