MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework.

Official code for "A Normalized Gaussian Wasserstein Distance for Tiny Object Detection"

[ICRA@40] MS-Mapping: An Uncertainty-Aware Large-Scale Multi-Session LiDAR Mapping System

Optimal transport algorithms for Julia

PyTorch implementation of slicing adversarial network (SAN)

The Wasserstein Distance and Optimal Transport Map of Gaussian Processes

Measure the distance between two spectra/signals using optimal transport and related metrics

A materials discovery algorithm geared towards exploring high-performance candidates in new chemical spaces.

Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"

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

1D Wasserstein Statistical Loss in Pytorch

A thorough review of the paper "Learning Embeddings into Entropic Wasserstein Spaces" by Frogner et al. Includes a reproduction of the results on word embeddings.

Multi-Source Domain Adaptation via Optimal Transport for Student-Teacher Learning - UAI 2021

This Repository Contains Solution to the Assignments of the Generative Adversarial Networks (GANs) Specialization from deeplearning.ai on Coursera Taught by Sharon Zhou, Eda Zhou, Eric Zelikman

Discovering Conservation Laws using Optimal Transport and Manifold Learning

LAMDA: Label Matching Deep Domain Adaptation - ICML 2021

Header only C++ implementation of the Wasserstein distance (or earth mover's distance)

Unsupervised Domain Adaptation for Acoustic Scene Classification with Wasserstein Distance

Persistence Diagrams in Julia

Fast Topological Clustering with Wasserstein Distance (ICLR 2022)