On the recordRead 12 Oct 202617 facts
MParT
On the record
- Applications
- Its monotone triangular transport maps can model conditional distributions and accelerate posterior sampling in Bayesian inference.measuretransport.github.io · read 5 Oct 2026
- Build requirements
- MParT uses CMake and requires version 3.13 or later; the documentation says it has not been tested with every version of its dependencies.measuretransport.github.io · read 12 Oct 2026
- Dependencies
- The source build requires CMake version 3.13 or later; the documentation lists Kokkos, Eigen, Cereal, Pybind11, and Catch2 among its dependencies.measuretransport.github.io · read 5 Oct 2026
- Examples
- The project provides tutorials for C++, Python, Julia, and Matlab, including examples for Bayesian inference and map-based density estimation.measuretransport.github.io · read 12 Oct 2026
- GPU support
- CUDA support requires compiling from source with an externally installed Kokkos and NVIDIA CUDA libraries.measuretransport.github.io · read 12 Oct 2026
- Installation
- The main C++ library and Python wrapper can be installed with conda, and Julia bindings can be installed through Julia's package manager.measuretransport.github.io · read 12 Oct 2026
- Integrations
- The project describes MParT as suitable for use in higher-level libraries such as TransportMaps and MUQ.measuretransport.github.io · read 12 Oct 2026
- Intended users
- The project invites users to contribute to development and documentation, including by forking the repository and submitting pull requests.measuretransport.github.io · read 12 Oct 2026
- Languages
- MParT is a C++ library with bindings for Python, Julia, and Matlab.measuretransport.github.io · read 12 Oct 2026
- License
- MParT is released under the BSD 3-Clause License, which permits redistribution and use in source and binary forms subject to its stated conditions.measuretransport.github.io · read 12 Oct 2026
- Performance
- The project emphasizes fast execution and parsimonious parameterizations intended to permit near real-time computation on low and moderate dimensional problems.measuretransport.github.io · read 12 Oct 2026
- Platform support
- The installation guide provides MacOS and Linux environment path instructions and says the basic source build should work on most operating systems.measuretransport.github.io · read 5 Oct 2026
- Purpose
- MParT is a multi-language toolkit for constructing and using monotone functions for measure transport and regression.measuretransport.github.io · read 12 Oct 2026
- Support
- Users can ask questions, discuss enhancements, report bugs, or request features through GitHub issues and discussions or by emailing the developers.measuretransport.github.io · read 12 Oct 2026
- Tutorials
- The examples cover map construction from densities and samples, monotone least squares, Bayesian inference, and stochastic volatility.measuretransport.github.io · read 5 Oct 2026
- Use cases
- Its monotone triangular transport maps can model conditional distributions and accelerate posterior sampling in Bayesian inference.measuretransport.github.io · read 12 Oct 2026
