Python implementation of smooth optimal transport.
☆61May 5, 2021Updated 4 years ago
Alternatives and similar repositories for smooth-ot
Users that are interested in smooth-ot are comparing it to the libraries listed below
Sorting:
- Code for http://proceedings.mlr.press/v80/dvurechensky18a.html☆17Jul 31, 2018Updated 7 years ago
- Learning the optimal transport map via input convex neural neworks☆42Jun 26, 2020Updated 5 years ago
- Tensorflow implementation of optimal transport (OT) with Sinkhorn algorithm.☆19Nov 5, 2019Updated 6 years ago
- implements optimal transport algorithms in pytorch☆105May 15, 2022Updated 3 years ago
- code submission to NeurIPS2019☆13Aug 9, 2023Updated 2 years ago
- Optimal transport and generalizations☆67May 13, 2019Updated 6 years ago
- Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.☆75Aug 21, 2016Updated 9 years ago
- A list of papers for group meeting☆19Jan 5, 2026Updated 2 months ago
- A list of awesome papers and cool resources on optimal transport and its applications in general! As you will notice, this list is curren…☆246May 9, 2021Updated 4 years ago
- POT : Python Optimal Transport☆2,763Feb 24, 2026Updated last week
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆24Sep 9, 2024Updated last year
- demo codes for several approximate optimal transport solvers☆20Mar 20, 2018Updated 7 years ago
- ☆24Sep 10, 2021Updated 4 years ago
- Fast discrete distributions clustering using Wasserstein barycenter with sparse support☆12Nov 20, 2018Updated 7 years ago
- Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)☆23Dec 1, 2023Updated 2 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆45Mar 13, 2023Updated 2 years ago
- It is a repo which allows to compute all divergences derived from the theory of entropically regularized, unbalanced optimal transport. I…☆31Dec 21, 2022Updated 3 years ago
- Learning Autoencoders with Relational Regularization☆46Oct 8, 2020Updated 5 years ago
- Implements several Markov chain Monte Carlo (MCMC) algorithms for the latent Dirichlet allocation (LDA) model☆11Feb 11, 2020Updated 6 years ago
- Code for the paper "Modelling Latent Translations for Cross-Lingual Transfer"☆17Nov 22, 2021Updated 4 years ago
- ☆12Sep 26, 2019Updated 6 years ago
- Edge-weighted online bipartite matching (JACM 2022)☆12Jun 18, 2023Updated 2 years ago
- Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"☆54Jan 22, 2020Updated 6 years ago
- Implementation of Inexact Proximal point method for Optimal Transport☆50May 30, 2021Updated 4 years ago
- Efficient Wasserstein Barycenter in MATLAB (for "Fast Discrete Distribution Clustering Using Wasserstein Barycenter with Sparse Support" …☆24Aug 2, 2019Updated 6 years ago
- A Pytorch implementation of the optimal transport kernel embedding☆119Feb 10, 2021Updated 5 years ago
- ☆18Sep 18, 2024Updated last year
- Python implementation of projection losses.☆27Nov 18, 2019Updated 6 years ago
- Learning generative models with Sinkhorn Loss☆30Nov 9, 2018Updated 7 years ago
- Statistics on the space of asymmetric networks via Gromov-Wasserstein distance☆15Jun 13, 2020Updated 5 years ago
- Manipulating External Pointer☆13Sep 27, 2025Updated 5 months ago
- Python implementation of the supervised graph prediction method proposed in http://arxiv.org/abs/2202.03813 using PyTorch library and POT…☆16Feb 25, 2022Updated 4 years ago
- ☆18Mar 5, 2017Updated 9 years ago
- PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)☆67Feb 3, 2023Updated 3 years ago
- ☆13May 16, 2018Updated 7 years ago
- Gradient Estimation with Discrete Stein Operators (NeurIPS 2022)☆17Nov 14, 2023Updated 2 years ago
- [WIP] Python implementation of evolution strategy based on Information Geometry. This library includes CMA-ES, NES, CompactGA and PBIL.☆16May 2, 2019Updated 6 years ago
- Julia implementation of stochastic optimization algorithms for large-scale optimal transport.☆18Jul 8, 2021Updated 4 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Feb 20, 2020Updated 6 years ago