POT : Python Optimal Transport
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Updated
Apr 26, 2025 - Python
POT : Python Optimal Transport
Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
Official PyTorch implementation of the ICCV 2023 paper: From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection.
Improving word mover’s distance by leveraging self-attention matrix (Published in EMNLP 2023 Findings)
Official Implementation of 'Joint Metric Space Embedding by Unbalanced OT with Gromov-Wasserstein Marginal Penalization'
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