A collection of AWESOME things about domian adaptation
POT : Python Optimal Transport
An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.
TorchCFM: a Conditional Flow Matching library
Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.
Approximating Wasserstein distances with PyTorch
PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)
A software package for analyzing snapshots of developmental processes
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
[ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
FoldFlow: SE(3)-Stochastic Flow Matching for Protein Backbone Generation
CVPR 2020, Semantic Correspondence as an Optimal Transport Problem, Pytorch Implementation.
Implementation of the Sliced Wasserstein Autoencoder using PyTorch
Multi-omic single-cell optimal transport tools
Dynamic Time Warping (DTW) and related algorithms in Julia, at Julia speeds
Optimal transport algorithms for Julia
Implementation of the Sliced Wasserstein Autoencoders
We would like to maintain a list of resources which aim to solve molecular docking and other closely related tasks.
書籍『最適輸送の理論とアルゴリズム』のサポートページです。
Official Implementation of AlignMixup - CVPR 2022
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