kilianFatras / minibatch_Wasserstein
Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".
☆13Updated 3 years ago
Alternatives and similar repositories for minibatch_Wasserstein:
Users that are interested in minibatch_Wasserstein are comparing it to the libraries listed below
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆43Updated last year
- Stochastic algorithms for computing Regularized Optimal Transport☆57Updated 6 years ago
- Learning Autoencoders with Relational Regularization☆45Updated 4 years ago
- Code for Sliced Gromov-Wasserstein☆66Updated 5 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆28Updated 5 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
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 4 years ago
- Contains the code relative to the paper Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning https://arxiv.org/abs…☆21Updated 4 years ago
- ☆12Updated 6 years ago
- Sinkhorn Barycenters via Frank-Wolfe algorithm☆24Updated 5 years ago
- Learning generative models with Sinkhorn Loss☆28Updated 6 years ago
- Code for our ICLR19 paper "Wasserstein Barycenters for Model Ensembling", Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero…☆22Updated 5 years ago
- Learning the optimal transport map via input convex neural neworks☆40Updated 4 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Updated 6 years ago
- ☆16Updated 4 years ago
- Python implementation of smooth optimal transport.☆57Updated 3 years ago
- Robust Optimal Transport code☆40Updated 2 years ago
- Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"☆45Updated 2 years ago
- ☆13Updated 4 years ago
- Tensorflow implementation for the SVGP-VAE model.☆21Updated 3 years ago
- Official repository of "Minibatch optimal transport distances; analysis and applications" (https://arxiv.org/pdf/2101.01792.pdf)☆10Updated 3 years ago
- Distributional Sliced-Wasserstein distance code☆49Updated 6 months ago
- ☆12Updated 6 months ago
- Gaussian Process Prior Variational Autoencoder☆81Updated 6 years ago
- NeurIPS 2021, Code for Measuring Generalization with Optimal Transport☆28Updated 3 years ago
- CO-Optimal Transport☆42Updated 4 years ago
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆48Updated 3 years ago
- Closed form Entropic OT for balanced and unbalanced Gaussians☆17Updated 3 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆31Updated 4 years ago
- Code for NIPS 2017 spotlight paper: "Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration" by Jason Alt…☆31Updated 7 years ago