jeanfeydy / global-divergences
MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.
☆55Updated 6 years ago
Alternatives and similar repositories for global-divergences:
Users that are interested in global-divergences are comparing it to the libraries listed below
- Python implementation of smooth optimal transport.☆58Updated 4 years ago
- Code for Sliced Gromov-Wasserstein☆68Updated 5 years ago
- A Python implementation of Monge optimal transportation☆49Updated last year
- Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.☆73Updated 8 years ago
- Keras implementation of Deep Wasserstein Embeddings☆48Updated 7 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆28Updated 5 years ago
- Code for http://proceedings.mlr.press/v80/dvurechensky18a.html☆16Updated 6 years ago
- ☆24Updated 3 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆57Updated 6 years ago
- Spatio-temporal alignements: Optimal transport in space and time☆45Updated 2 weeks ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆55Updated 3 years ago
- Contains the code relative to the paper Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning https://arxiv.org/abs…☆21Updated 5 years ago
- Closed form Entropic OT for balanced and unbalanced Gaussians☆17Updated 3 years ago
- Sliced Wasserstein Generator☆23Updated 6 years ago
- A Pytorch implementation of the optimal transport kernel embedding☆116Updated 4 years ago
- L. Chizat, G. Peyré, B. Schmitzer, F-X. Vialard. Scaling Algorithms for Unbalanced Transport Problems. Preprint Arxiv:1607.05816, 2016.☆42Updated 8 years ago
- ☆30Updated 4 years ago
- Practical sessions for the Optimal Transport and Machine learning course at DS3 2018☆89Updated 6 years ago
- Sliced Wasserstein Distance for Learning Gaussian Mixture Models☆62Updated 2 years ago
- ☆122Updated 2 years ago
- MATLAB implementation of linear support vector classification in hyperbolic space☆20Updated 6 years ago
- Learning generative models with Sinkhorn Loss☆28Updated 6 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- The Deep Weight Prior, ICLR 2019☆45Updated 4 years ago
- implements optimal transport algorithms in pytorch☆97Updated 2 years ago
- CPAB Transformations: finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuou…☆50Updated 3 years ago
- It is a repo which allows to compute all divergences derived from the theory of entropically regularized, unbalanced optimal transport. I…☆28Updated 2 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆84Updated 4 years ago
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆18Updated 5 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago