mathcoding / CompOT

Computational Optimal Transport

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Computational Optimal Transport

This repository is used for the Ph.D. course on Computational Optimal Transport at UniPv.

This webpage will be update during the course.

The tentative syllabus is available as syllabus.pdf, with an updated list of references.

For the 3rd Lecture: Slides for the introduction to Wasserstein Barycenters: slides.pdf.

Project proposals

For a list of project proposal for the final exam, please, read this list of proposal.

Exercises

And here, a list of exercises.

Python notebook

Data Notebook Link
[2024/06/26] Computing Wasserstein barycenters Open In Colab
[2024/06/12] Sinkhorn's algorithm Open In Colab
[2024/06/05] OT and Style Transfer Open In Colab

Lab exercise

Data Solution Link
[2024/06/12] Sinkhorn's algorithm sinkhorn_lab.py

Solutions

Data Solution Link
[2024/06/05] Color Transfer col_transfer.py
[2024/06/05] Discrete Histogram Transfer equalizer.py

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Computational Optimal Transport

License:MIT License


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