An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.
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Updated
Sep 8, 2024 - C++
An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.
Solve large instance of semi-discrete optimal transport problems and other Monge-Ampere equations
Python interface for a 2D optimal transport / Monge Ampère solver using Laguerre diagrams
Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Wasserstein dictionary learning: Optimal transport-based unsupervised nonlinear dictionary learning." SIAM Journal on Imaging Sciences, 2018
A toolbox for solving problems of equilibrium computation and identification in discrete choice and matching problems.
Color Transfer via Optimal Transport
Variational Optimal Transportation
Implementation of the Extreme Joint Distribution algorithm in C++
Rust Optimal Transport solvers
OT1D: Discrete Optimal Transport in 1D by Linear Programming
MultiVariate Empirical Quantile Function (grid-based)
Library for solving variational mean-field games using optimal transport and the Sinkhorn algorithm
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.
C++ and Python tools for balanced and unbalanced semi-discrete optimal transport (SDOT) in 2d.
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