Transport theory has seen much success in many fields of statistics and machine learning. We provide a variety of algorithms to compute Wasserstein distance, barycenter, and others. See Peyré and Cuturi (2019) <doi:10.1561/2200000073> for the general exposition to the study of computational optimal transport.
|Author||Kisung You [aut, cre] (<https://orcid.org/0000-0002-8584-459X>)|
|Maintainer||Kisung You <email@example.com>|
|License||MIT + file LICENSE|
|Package repository||View on CRAN|
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