kilianFatras / minibatch_WassersteinLinks
Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".
☆13Updated 4 years ago
Alternatives and similar repositories for minibatch_Wasserstein
Users that are interested in minibatch_Wasserstein are comparing it to the libraries listed below
Sorting:
- Stochastic algorithms for computing Regularized Optimal Transport☆58Updated 7 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆45Updated 2 years ago
- Code for Sliced Gromov-Wasserstein☆69Updated 5 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 5 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆29Updated 6 years ago
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆51Updated 4 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
- It is a repo which allows to compute all divergences derived from the theory of entropically regularized, unbalanced optimal transport. I…☆31Updated 2 years ago
- Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"☆46Updated 3 years ago
- ☆12Updated 6 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆102Updated 7 years ago
- A Pytorch implementation of the optimal transport kernel embedding☆118Updated 4 years ago
- ☆63Updated 5 years ago
- Code for Optimal Transport for structured data with application on graphs☆102Updated 2 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆75Updated 5 years ago
- Contains the code relative to the paper Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning https://arxiv.org/abs…☆20Updated 5 years ago
- Gaussian Process Prior Variational Autoencoder☆85Updated 6 years ago
- A brief tutorial on the Wasserstein auto-encoder☆83Updated 6 years ago
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆104Updated 5 years ago
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆72Updated 6 years ago
- Distributional Sliced-Wasserstein distance code☆50Updated last year
- Joint distribution optimal transportation for domain adaptation☆102Updated 7 years ago
- Learning generative models with Sinkhorn Loss☆30Updated 6 years ago
- Sliced Wasserstein Distance for Learning Gaussian Mixture Models☆66Updated 2 years ago
- CO-Optimal Transport☆42Updated 4 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 4 years ago
- ☆66Updated 6 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆33Updated 4 years ago