POT : Python Optimal Transport
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Updated
Sep 18, 2026 - Python
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"
Distributional crypto-return forecasting via Wasserstein-geodesic extrapolation in quantile-function space. WGeo family wins 12/12 (asset × horizon) cells over 6.75y walk-forward CRPS vs GARCH and classical baselines. v0.4.
(PhD Thesis) Multi-Source Domain Adaptation through Wasserstein Barycenters
Implementation of Sliced Wasserstein distance, SW barycenters and application to K-means clustering.
Code for "Fixed Support Tree-Sliced Wasserstein Barycenter"
Implementation of Van Dijcke, David. "Regression Discontinuity Design with Distribution-Valued Outcomes." Manuscript.
Repository to store code/data for implementing OT based Column-Concentrated sampling technique and matrix completion algorithms.
'Wasserstein Dictionaries for Persistence Diagrams' - TDA MVA'25
Reproducible Python experiments for fixed-point computation of Bures–Wasserstein barycenters on SPD matrices.
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