MParT

MParT: Monotone Parameterization Toolkit - Published in JOSS (2022)

https://github.com/measuretransport/mpart

Science Score: 100.0%

This score indicates how likely this project is to be science-related based on various indicators:

✓
CITATION.cff file
Found CITATION.cff file
✓
codemeta.json file
Found codemeta.json file
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.zenodo.json file
Found .zenodo.json file
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DOI references
Found 4 DOI reference(s) in README and JOSS metadata
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Academic publication links
Links to: joss.theoj.org
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Committers with academic emails
5 of 8 committers (62.5%) from academic institutions
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Institutional organization owner
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JOSS paper metadata
Published in Journal of Open Source Software

Last synced: 4 months ago · JSON representation ·

Repository

Monotone Parameterization Toolkit (MParT): A core library for constructing and using transport maps.

Basic Info

Host: GitHub
Owner: MeasureTransport
License: bsd-3-clause
Language: C++
Default Branch: release
Homepage: https://measuretransport.github.io/MParT/
Size: 53.7 MB

Statistics

Stars: 18
Watchers: 4
Forks: 4
Open Issues: 54
Releases: 23

Created about 4 years ago · Last pushed over 1 year ago

Metadata Files

Readme License Citation

README.md

MParT: A Monotone Parameterization Toolkit

A CPU/GPU performance-portable library for parameterizing and constructing monotone functions in the context of measure transport and regression.

Documentation

See measuretransport.github.io/MParT/ for more extensive documentation.

Owner

Name: MeasureTransport
Login: MeasureTransport
Kind: organization

Repositories: 5
Profile: https://github.com/MeasureTransport

JOSS Publication

MParT: Monotone Parameterization Toolkit

Published

December 26, 2022

DOI

10.21105/joss.04843

Volume 7, Issue 80, Page 4843

Authors

Matthew Parno

Dartmouth College, Hanover, NH USA, Solea Energy, Overland Park, KS USA

Paul-Baptiste Rubio

Massachusetts Institute of Technology, Cambridge, MA USA

Daniel Sharp

Massachusetts Institute of Technology, Cambridge, MA USA

Michael Brennan

Massachusetts Institute of Technology, Cambridge, MA USA

Ricardo Baptista

Massachusetts Institute of Technology, Cambridge, MA USA

Henning Bonart

Massachusetts Institute of Technology, Cambridge, MA USA, Technische Universität Darmstadt, Darmstadt, Germany

Youssef Marzouk

Massachusetts Institute of Technology, Cambridge, MA USA

Editor

Patrick Diehl

Tags

Python Julia measure transport transport map density estimation Bayesian inference normalizing flows machine learning

View PDF Review Thread Software Archive

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: Monotone Parameterization Toolkit (MParT)
message: 'If you use MParT, please cite it as below.'
type: software
version: 2.2.1
authors:
  - given-names: Matthew
    family-names: Parno
    email: parnomd@gmail.com
    orcid: https://orcid.org/0000-0002-9419-2693
  - given-names: Daniel
    family-names: Sharp
    email: dannys4@vt.edu
    orcid: https://orcid.org/0000-0002-0439-5084
  - given-names: Paul-Baptiste
    family-names: Rubio
    email: rubiop@mit.edu
    orcid: https://orcid.org/0000-0002-9765-1162
  - given-names: Michael
    family-names: Brennan
    email: mcbrenn@mit.edu
    orcid: https://orcid.org/0000-0001-7812-9347
  - given-names: Henning
    family-names: Bonart
    email: hbonart@mit.edu
    orcid: https://orcid.org/0000-0002-5026-4499
  - given-names: Ricardo
    family-names: Baptista
    email: rsb@mit.edu
    orcid: https://orcid.org/0000-0002-0421-890X
  - given-names: Youssef 
    family-names: Marzouk
    email: ymarz@mit.edu
    orcid: https://orcid.org/0000-0001-8242-3290

GitHub Events

Total

Issues event: 2
Watch event: 7
Issue comment event: 3

Last Year

Issues event: 2
Watch event: 7
Issue comment event: 3

Committers

Last synced: 5 months ago

All Time

Total Commits: 1,197
Total Committers: 8
Avg Commits per committer: 149.625
Development Distribution Score (DDS): 0.528

Past Year

Commits: 0
Committers: 0
Avg Commits per committer: 0.0
Development Distribution Score (DDS): 0.0

Top Committers

Name	Email	Commits
Danny Sharp	d**4@m**u	565
Matthew Parno	p**d@g**m	295
Michael-C-Brennan	m**n@m**u	113
rubiop	p**o@g**m	82
Henning Bonart	b**t@n**e	65
Matthew Parno	m**o@s**m	58
Ricardo Baptista	r**b@m**u	15
Youssef Marzouk	y**z@m**u	4

Committer Domains (Top 20 + Academic)

mit.edu: 4 solea.com: 1 nmf.tu-darmstadt.de: 1

Issues and Pull Requests

Last synced: 4 months ago

All Time

Total issues: 92
Total pull requests: 103
Average time to close issues: 6 months
Average time to close pull requests: 21 days
Total issue authors: 7
Total pull request authors: 5
Average comments per issue: 1.43
Average comments per pull request: 2.48
Merged pull requests: 93
Bot issues: 0
Bot pull requests: 0

Past Year

Issues: 2
Pull requests: 0
Average time to close issues: about 2 hours
Average time to close pull requests: N/A
Issue authors: 2
Pull request authors: 0
Average comments per issue: 1.5
Average comments per pull request: 0
Merged pull requests: 0
Bot issues: 0
Bot pull requests: 0

View more stats

Top Authors

Issue Authors

dannys4 (50)
mparno (15)
michael-c-brennan (14)
rubiop (8)
bonh (2)
jgrashorn (2)
zaijiaowoma (1)

Pull Request Authors

dannys4 (77)
mparno (29)
MMRROOO (22)
michael-c-brennan (8)
rubiop (1)

Top Labels

Issue Labels

enhancement (22) bug (13) bindings (9) documentation (5) matlab (5) discussion (5) good first issue (4) DevOps (3) help wanted (1)

Pull Request Labels

Packages

Total packages: 2
Total downloads:
- pypi 60 last-month

Total dependent packages: 0
(may contain duplicates)
Total dependent repositories: 0
(may contain duplicates)
Total versions: 12
Total maintainers: 1

pypi.org: mpart

A Monotone Parameterization Toolkit

Documentation: https://measuretransport.github.io/MParT/
License: BSD 3-Clause License Copyright (c) 2022, Massachusetts Institute of Technology All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
Latest release: 2.2.2
published almost 2 years ago

Versions: 8
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 60 Last month

Rankings

Dependent packages count: 6.6%

Downloads: 19.6%

Stargazers count: 20.5%

Average: 21.6%

Forks count: 30.5%

Dependent repos count: 30.6%

Maintainers (1)

mparno

Last synced: 4 months ago

conda-forge.org: mpart

MParT is a library for monotone parameterizations written in c++ with bindings to python, julia, and matlab. It is designed as a core building block for research and software invovling transport maps and isotonic regression.

Homepage: https://github.com/MeasureTransport/MParT
License: BSD-3-Clause
Latest release: 1.2.0
published about 3 years ago

Versions: 4
Dependent Packages: 0
Dependent Repositories: 0

Rankings

Dependent repos count: 34.0%

Average: 50.8%

Dependent packages count: 51.2%

Stargazers count: 57.0%

Forks count: 61.1%

Last synced: 4 months ago

Dependencies

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