kilianFatras / awesome-optimal-transportLinks
A list of awesome papers and cool resources on optimal transport and its applications in general! As you will notice, this list is currently mostly focused on optimal transport for machine learning topics.
☆239Updated 4 years ago
Alternatives and similar repositories for awesome-optimal-transport
Users that are interested in awesome-optimal-transport are comparing it to the libraries listed below
Sorting:
- a collection of AWESOME things about Optimal Transport in Deep Learning☆332Updated last year
- Code for Sliced Gromov-Wasserstein☆69Updated 6 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆45Updated 2 years ago
- PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)☆217Updated 2 years ago
- Papers and Codes for the deep learning in hyperbolic space☆186Updated 3 years ago
- PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)☆57Updated 2 years ago
- Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)☆356Updated 5 months ago
- Code for reproducing results in the sliced score matching paper (UAI 2019)☆148Updated 6 years ago
- A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesi…☆57Updated 2 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆58Updated 7 years ago
- Implementation of Inexact Proximal point method for Optimal Transport☆50Updated 4 years ago
- ☆10Updated 3 years ago
- ☆42Updated 5 years ago
- Neural Tangent Kernel Papers☆120Updated 11 months ago
- Generative Modeling with Optimal Transport Maps - ICLR 2022☆61Updated 3 years ago
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Updated 3 years ago
- Python implementation of smooth optimal transport.☆61Updated 4 years ago
- Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm☆449Updated 7 years ago
- L. Chizat, G. Peyré, B. Schmitzer, F-X. Vialard. Scaling Algorithms for Unbalanced Transport Problems. Preprint Arxiv:1607.05816, 2016.☆43Updated 8 years ago
- Code for Optimal Transport for structured data with application on graphs☆104Updated 3 years ago
- It is a repo which allows to compute all divergences derived from the theory of entropically regularized, unbalanced optimal transport. I…☆31Updated 3 years ago
- Mutual Information Neural Estimation in Pytorch☆347Updated last year
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago
- Pytorch implementation of Neural Processes for functions and images☆234Updated 3 years ago
- Distributional Sliced-Wasserstein distance code☆50Updated last year
- Optimal Transport Dataset Distance☆174Updated 3 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆78Updated 4 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated last year
- Learning Autoencoders with Relational Regularization☆46Updated 5 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆43Updated 3 years ago