CO-Optimal Transport (COOT) is an Optimal Transport problem between measures whose supports do not necessarily live in the same metric space. It aims to simultaneously optimize two transport maps between both samples and features of two datasets with possibly different number of rows and columns.

Feel free to ask if any question.

If you use this toolbox in your research and find it useful, please cite COOT using the following bibtex reference:

@incollection{coot_2020,
title = {CO-Optimal Transport},
author = {Redko, Ievgen, Vayer, Titouan, Flamary, R\'{e}mi and Courty, Nicolas},
booktitle = {Advances in Neural Information Processing Systems 33},
year = {2020}
}