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.
Package details |
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Maintainer | |
License | MIT + file LICENSE |
Version | 0.1.2 |
Package repository | View on GitHub |
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