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.
☆246May 9, 2021Updated 5 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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official repository of "Minibatch optimal transport distances; analysis and applications" (https://arxiv.org/pdf/2101.01792.pdf)☆10Oct 15, 2021Updated 4 years ago
- Contains the code relative to the paper Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning https://arxiv.org/abs…☆21Mar 3, 2020Updated 6 years ago
- POT : Python Optimal Transport☆2,848Sep 18, 2026Updated 2 weeks ago
- a collection of AWESOME things about Optimal Transport in Deep Learning☆354May 11, 2024Updated 2 years ago
- Practical sessions for the Optimal Transport and Machine learning course at DS3 2018☆93Jun 27, 2018Updated 8 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A Quasi-Wasserstein Loss for Learning Graph Neural Networks (QW loss)☆10May 20, 2024Updated 2 years ago
- ☆15Mar 30, 2020Updated 6 years ago
- ☆10Jun 22, 2022Updated 4 years ago
- A list of papers for group meeting☆20Jun 20, 2026Updated 3 months ago
- Code for http://proceedings.mlr.press/v80/dvurechensky18a.html☆17Jul 31, 2018Updated 8 years ago
- ☆16Sep 2, 2020Updated 6 years ago
- L. Chizat, G. Peyré, B. Schmitzer, F-X. Vialard. Scaling Algorithms for Unbalanced Transport Problems. Preprint Arxiv:1607.05816, 2016.☆43Jan 20, 2017Updated 9 years ago
- Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".☆13Apr 9, 2021Updated 5 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆28Jun 14, 2019Updated 7 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Implementation of DeepJDOT in Keras☆63Jul 16, 2019Updated 7 years ago
- The implementation for the paper "On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm".☆12Apr 11, 2020Updated 6 years ago
- Web site of the Computational Optimal Transport book☆377Feb 16, 2023Updated 3 years ago
- Distributional Sliced-Wasserstein distance code☆51Jul 22, 2024Updated 2 years ago
- Statistics on the space of asymmetric networks via Gromov-Wasserstein distance☆16Jun 13, 2020Updated 6 years ago
- Robust Optimal Transport code☆43Oct 6, 2022Updated 3 years ago
- J-D. Benamou, G. Carlier, M. Cuturi, L. Nenna, G. Peyré. Iterative Bregman Projections for Regularized Transportation Problems. SIAM Jour…☆34Jan 7, 2017Updated 9 years ago
- ☆43Feb 21, 2020Updated 6 years ago
- Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"☆54Jan 22, 2020Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Euclidean Wasserstein-2 optimal transportation☆46Aug 19, 2023Updated 3 years ago
- ☆17Oct 22, 2020Updated 5 years ago
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆762Sep 18, 2026Updated 2 weeks ago
- ☆24Sep 10, 2021Updated 5 years ago
- Courses and practical sessions for the Optimal Transport and Machine learning course at Statlearn 2018☆26Apr 5, 2018Updated 8 years ago
- PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)☆238May 4, 2026Updated 5 months ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆36Jun 17, 2022Updated 4 years ago
- Code for Sliced Gromov-Wasserstein☆69Dec 2, 2019Updated 6 years ago
- Code for the paper "Improving GANs Using Optimal Transport"☆74Nov 22, 2018Updated 7 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Code for ICML 2020 "Graph Optimal Transport for Cross-Domain Alignment"☆164Jul 24, 2020Updated 6 years ago
- Sinkhorn Barycenters via Frank-Wolfe algorithm☆26Feb 3, 2020Updated 6 years ago
- Graph matching and clustering by comparing heat kernels via optimal transport.☆26Dec 8, 2022Updated 3 years ago
- Official Pytorch implementation for "Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters" (NeurIPS 2023)☆10Mar 5, 2024Updated 2 years ago
- Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)☆32Nov 1, 2022Updated 3 years ago
- Code for computing Hypergraph Co-Optimal Transport distances☆17Jan 19, 2023Updated 3 years ago
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆41Apr 27, 2023Updated 3 years ago