POT : Python Optimal Transport
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Updated
Jul 29, 2026 - Python
POT : Python Optimal Transport
The Wasserstein Distance and Optimal Transport Map of Gaussian Processes
A Python implementation of Monge optimal transportation
(ICASSP'21/CVPR'21) Wasserstein Barycenter Transport
Efficient Wasserstein Barycenter in MATLAB (for "Fast Discrete Distribution Clustering Using Wasserstein Barycenter with Sparse Support" TSP)
Python Implementation of "Fast Computation of Wasserstein Barycenters"
[UAI'26] Wasserstein Gradient Flows for Scalable and Regularized Barycenter Computation
Wasserstein barycenter research for images
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