POT : Python Optimal Transport
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Updated
Aug 21, 2024 - Python
POT : Python Optimal Transport
Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.
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
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