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This project contains the code and notes of the first Ecole de recherche du GDR IG-RV on numerical optimal transport (2-6/11/2020).
More precisely, we propose three differnet c++ or python exercices:
- Color Transfer via Discrete Optimal Transport using the sliced approach
- Regularized Convolutional Wasserstein Barycenters
- Uniform Sampling Semi-Discrete Optimal Transport
Each exercice is quite self-contained and independent. For each one, we provide the essential starting kit (c++ and python). For any question, please discuss with us through the Discrod Channel (see below).
All documents are still in beta, do not hesitate to send us any feedback.
- Discord channel of the project
