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
[2024/06/12]	Sinkhorn's algorithm
[2024/06/05]	OT and Style Transfer

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