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POT : Python Optimal Transport

Point Cloud Utils ⭐ 1,109

A Python library for common tasks on 3D point clouds

Conditional Flow Matching ⭐ 499

TorchCFM: a Conditional Flow Matching library

Optimal Transport tools implemented with the JAX framework, to get auto-diff, parallel and jit-able computations.

Neural Architecture Search with Bayesian Optimisation and Optimal Transport

Multi-omic single-cell optimal transport tools

[ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models

CVPR 2020, Semantic Correspondence as an Optimal Transport Problem, Pytorch Implementation.

Swae Pytorch ⭐ 59

Implementation of the Sliced Wasserstein Autoencoder using PyTorch

Nn_encapsulation ⭐ 49

Capsule research with our trivial contribution

A Python implementation of Monge optimal transportation

Point2mask ⭐ 43

The code for "Point2Mask: Point-supervised Panoptic Segmentation via Optimal Transport", ICCV2023

Implementation of Sinkhorn Step in JAX, NeurIPS 2023.

Ot Scomics ⭐ 29

This Python package will allow you to replicate the experiments from our research on applying Optimal Transport as a similarity metric in between single-cell omics data.

Elim_fer ⭐ 28

[NeurIPS 2022] The official repository of Expression Learning with Identity Matching for Facial Expression Recognition

Scalable python GPU solvers for fused unbalanced gromov-wasserstein optimal transport problems, with routines and examples to align brain data

PyTorch implementation of slicing adversarial network (SAN)

Otcoarsening ⭐ 23

Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport

Event_representation_study ⭐ 21

Official PyTorch implementation of the ICCV 2023 paper: From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection.

Mongeampereflow ⭐ 20

Continuous-time gradient flow for generative modeling and variational inference

Sinkhorn Label Allocation ⭐ 20

Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms.

"Towards Realistic Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah (ECCV 2022)

Implementation of Motion Planning via Optimal Transport (MPOT) in PyTorch, NeurIPS 2023.

Large Scale Ot Mapping Tf ⭐ 16

Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)

A Wasserstein Subsequence Kernel for Time Series.

Locally corrected Nyström (LCN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More" (ICML 2021)

Learned string similarity for entity names using optimal transport.

Mose Auseg ⭐ 13

The official code repo for the paper "Mixture of Stochastic Experts for Modeling Aleatoric Uncertainty in Segmentation". (ICLR 2023)

FML (Francis' Machine-Learnin' Library) - A collection of utilities for machine learning tasks

Pymongeampere ⭐ 13

Python interface for a 2D optimal transport / Monge Ampère solver using Laguerre diagrams

Wbtransport ⭐ 11

This repo contains the implementation of the Wasserstein Barycenter Transport proposed in "Wasserstein Barycenter Transport for Acoustic Adaptation" at ICASSP21 and "Wasserstein Barycenter for Multi-Source Domain Adaptation" in CVPR21

Transmorph ⭐ 10

Computational framework for dataset integration

Functional Optimal Transport: Map Estimation and Domain Adaptation for Functional data

OT1D: Discrete Optimal Transport in 1D by Linear Programming

Wsingular ⭐ 8

Python package for the ICML 2022 paper "Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors".

Unsupervised Domain Adaptation for Acoustic Scene Classification with Wasserstein Distance

Graph Convolutional Optimal Transport for Hyperspectral Image Spectral Clustering

Spectral Gromov Wasserstein ⭐ 7

Graph matching and clustering by comparing heat kernels via optimal transport.

Ot Gradients ⭐ 7

Improving word mover’s distance by leveraging self-attention matrix

This repository contains the official implementation of the paper: MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences (EMNLP 2022)

GroupMap: beyond mean and variance matching for deep learning

Official implementation of 'P$^2$OT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering'. (Accepted by ICLR 2024)

A PyTorch implementation of adaptive Monte Carlo Optimal Transport algorithm

Entropic_wasserstein_component_analysis ⭐ 5

Python of "Entropic Wasserstein Component Analysis" paper

MongeNet sampler official implementation

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