POT : Python Optimal Transport

PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)

(ICASSP'21/CVPR'21) Wasserstein Barycenter Transport

Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"

Fast Topological Clustering with Wasserstein Distance (ICLR 2022)

Python Implementation of "Fast Computation of Wasserstein Barycenters"

(PhD Thesis) Multi-Source Domain Adaptation through Wasserstein Barycenters

Code for "Fixed Support Tree-Sliced Wasserstein Barycenter"

Implementation of Sliced Wasserstein distance, SW barycenters and application to K-means clustering.

Implementation of Van Dijcke, David. "Regression Discontinuity Design with Distribution-Valued Outcomes." Manuscript.

'Wasserstein Dictionaries for Persistence Diagrams' - TDA MVA'25

Repository to store code/data for implementing OT based Column-Concentrated sampling technique and matrix completion algorithms.