xieyujia / IPOT
Implementation of Inexact Proximal point method for Optimal Transport
☆45Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for IPOT
- implements optimal transport algorithms in pytorch☆91Updated 2 years ago
- ☆16Updated 4 years ago
- Code for NIPS 2017 spotlight paper: "Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration" by Jason Alt…☆30Updated 6 years ago
- Sinkhorn Barycenters via Frank-Wolfe algorithm☆24Updated 4 years ago
- Learning Autoencoders with Relational Regularization☆44Updated 4 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆55Updated 6 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆28Updated 5 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
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆40Updated last year
- NeurIPS 2021, Code for Measuring Generalization with Optimal Transport☆28Updated 3 years ago
- ☆23Updated 3 years ago
- Code for Sliced Gromov-Wasserstein☆66Updated 4 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆53Updated 3 years ago
- Code for ICML 2020 "Graph Optimal Transport for Cross-Domain Alignment"☆153Updated 4 years ago
- ☆21Updated 2 years ago
- ☆31Updated 4 years ago
- Python implementation of smooth optimal transport.☆56Updated 3 years ago
- Pytorch implementation of regularization methods for deep networks obtained via kernel methods.☆22Updated 4 years ago
- Code for Reparameterizable Subset Sampling via Continuous Relaxations, IJCAI 2019.☆52Updated last year
- Hyperbolic Visual Embedding Learning for Zero-Shot Recognition (CVPR 2020)☆74Updated last year
- Code for NeurIPS 2019 paper "Screening Sinkhorn Algorithm for Regularized Optimal Transport"☆10Updated 4 years ago
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆71Updated 5 years ago
- Code for ECML/PKDD paper: "LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport"☆15Updated 3 years ago
- Robust Optimal Transport code☆40Updated 2 years ago
- Code for our ICLR19 paper "Wasserstein Barycenters for Model Ensembling", Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero…☆20Updated 5 years ago
- LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH☆77Updated last year
- ☆33Updated 4 years ago
- Learning generative models with Sinkhorn Loss☆28Updated 6 years ago
- Code for http://proceedings.mlr.press/v80/dvurechensky18a.html☆15Updated 6 years ago
- Weighted Training for Cross-Task Learning☆15Updated last year