Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.
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Updated
May 31, 2024 - Python
Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.
POT : Python Optimal Transport
Multi-omic single-cell optimal transport tools
Scalable python GPU solvers for fused unbalanced gromov-wasserstein optimal transport problems, with routines and examples to align brain data (fMRI)
A collection of AWESOME things about domian adaptation
Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology - CVPR 2024
TorchCFM: a Conditional Flow Matching library
Optimal transport for data recoding
PyTorch implementation of slicing adversarial network (SAN)
Keypoint-guided Factorization for Optimal Transport
Uncover meaningful structures of latent spaces learned by generative models with flows!
Code for our TMLR '24 Journal: MMD-Regularized UOT.
Optimal transport algorithms for Julia
A Graph Optimal Transport Python Package
FoldFlow: SE(3)-Stochastic Flow Matching for Protein Backbone Generation
Optimal Transport - Monge, Bregman and Occam Estimator (A Short Tutorial)
Energy-guided Entropic Optimal Transport (ICLR'2024)
Code for the paper Geodesic Sinkhorn for Fast and Accurate Optimal Transport on Manifolds.
Implementation for the paper: "Privacy-preserving data release leveraging optimal transport and particle gradient descent"
Official repository of the "Transformer Fusion with Optimal Transport" paper, published as a conference paper at ICLR 2024.
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