A collection of AWESOME things about domain 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 solve large scale matching problems of any flavor.
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)
Code to quickly compute the shape of a transparent surface such that it casts an image if light passes through it.
Multi-omic single-cell optimal transport tools
TorchDR - PyTorch Dimensionality Reduction
[ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
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.
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
Optimal transport algorithms for Julia
Dynamic Time Warping (DTW) and related algorithms in Julia, at Julia speeds
Multimodal prototyping for cancer survival prediction - ICML 2024
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