#Awesome#A collection of AWESOME things about domian adaptation
#计算机科学#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 solve large scale matching problems of any flavor.
#计算机科学#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
#计算机科学#PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)
#计算机科学#PyTorch for Quantitative Finance : Payoffs are Activations
[ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
#时序数据库#A software package for analyzing snapshots of developmental processes
Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology - CVPR 2024
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
Play, learn, solve, and analyze No-Limit Texas Hold Em. Implementation follows from Monte Carlo counter-factual regret minimization over with hierarchical K-means imperfect recall abstractions.
TorchDR - PyTorch Dimensionality Reduction
CVPR 2020, Semantic Correspondence as an Optimal Transport Problem, Pytorch Implementation.
Implementation of the Sliced Wasserstein Autoencoder using PyTorch
#Awesome#We would like to maintain a list of resources which aim to solve molecular docking and other closely related tasks.