The team is delivering softwares for optimal transport and (geometric) machine learning.
POT (Python Optimal Transport): POT is an open source Python library that provides several solvers for optimization problems related to Optimal Transport for signal, image processing and machine learning. It has more than 500k downloads and 1300 stars on github. In 2021, we have received a support from CNRS to develop this software in the context of the national AI plan, with two engineers working part time on the development of the toolbox.
- Website and documentation: https://PythonOT.github.io/
- Source Code (MIT): https://github.com/PythonOT/POT