MultiVariate Empirical Quantile Function (grid-based)

SARS-CoV-2 (COVID-19) Infection Fatality Rate [medRxiv:2020.11.19.20235036]

Benchmark of several algorithms to solve the quadratically and entropically regularized optimal transportation problem on graphs. Implementation from scratch of the method described in: https://arxiv.org/abs/1704.08200

Website for Krama Lab @ IIT Hyderabad

Wasserstein barycenter research for images

PyTorch implementation of "Wasserstein Iterative Networks for Barycenter Estimation" (NeurIPS 2022)

Code for the paper Geodesic Sinkhorn for Fast and Accurate Optimal Transport on Manifolds.

code for "Prototypical Partial Optimal Transport for Universal Domain Adaptation" (AAAI 2023)

Projet for a course on Low Rank Approximation Techniques

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

Keypoint-guided Factorization for Optimal Transport

Xiaoyang Song's Research with Dr. Wenbo Sun, Prof. Raed AI Kontar and Prof. Judy Jin from University of Michigan. This research focus on Out-of-Distribution Computer Vision data generation and detection.

Fast and exact methods for image-based Multimarginal Optimal Transport (MMOT) problems

This repository contains my project for a school assignment, developed when I was an 11th grader. It focuses on exploring and utilizing graphs in order to solve various problems. The project demonstrates my understanding of graph algorithms and data structures, showcasing the practical applications of graph theory concepts.

Đồ án môn học Cấu Trúc Dữ Liệu và Giải Thuật (22C1INF50900702) - Ứng dụng thuật toán Dijkstra để tối ưu hoá chi phí vận tải - UEH

A Graph Optimal Transport Python Package

Julia Optimal Transport Library

This repo contains an R package to execute ROKET's real data analysis workflow on TCGA cancer types

Library of Semi-Relaxed Optimal Transport