A collection of AWESOME things about domian adaptation
POT : Python Optimal Transport
TorchCFM: a Conditional Flow Matching library
An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.
Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.
Approximating Wasserstein distances with PyTorch
[NeurIPS 2024] GaussianCube: A Structured and Explicit Radiance Representation for 3D Generative Modeling
FoldFlow: SE(3)-Stochastic Flow Matching for Protein Backbone Generation
PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)
PyTorch Library for Quantitative Finance
[ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
A software package for analyzing snapshots of developmental processes
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
Multi-omic single-cell optimal transport tools
CVPR 2020, Semantic Correspondence as an Optimal Transport Problem, Pytorch Implementation.
Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology - CVPR 2024
Implementation of the Sliced Wasserstein Autoencoder using PyTorch
Dynamic Time Warping (DTW) and related algorithms in Julia, at Julia speeds
Optimal transport algorithms for Julia
We would like to maintain a list of resources which aim to solve molecular docking and other closely related tasks.
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