ReactiveMP
High-performance reactive message-passing based Bayesian inference engine
Science Score: 67.0%
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Found 2 DOI reference(s) in README -
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○Scientific vocabulary similarity
Low similarity (9.6%) to scientific vocabulary
Keywords
Repository
High-performance reactive message-passing based Bayesian inference engine
Basic Info
- Host: GitHub
- Owner: ReactiveBayes
- License: mit
- Language: Julia
- Default Branch: main
- Homepage: https://reactivebayes.github.io/ReactiveMP.jl/
- Size: 107 MB
Statistics
- Stars: 114
- Watchers: 10
- Forks: 14
- Open Issues: 24
- Releases: 110
Topics
Metadata Files
README.md
ReactiveMP.jl
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Reactive message passing engine
ReactiveMP.jl is a Julia package that provides an efficient reactive message passing based Bayesian inference engine on a factor graph. The package is a part of the bigger and user-friendly ecosystem for automatic Bayesian inference called RxInfer. While ReactiveMP.jl exports only the inference engine, RxInfer provides convenient tools for model and inference constraints specification as well as routines for running efficient inference both for static and dynamic datasets.
Examples and tutorials
The ReactiveMP.jl package is intended for advanced users with a deep understanding of message passing principles. Accesible tutorials and examples are available in the RxInfer documentation.
License
MIT License Copyright (c) 2021-2024 BIASlab, 2024-present ReactiveBayes
Owner
- Name: ReactiveBayes
- Login: ReactiveBayes
- Kind: organization
- Location: Netherlands
- Website: https://rxinfer.ml/
- Repositories: 1
- Profile: https://github.com/ReactiveBayes
Open source software for reactive, efficient and scalable Bayesian inference
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: "ReactiveMP.jl: a Julia package for automatic Bayesian inference on a factor graph with reactive message passing."
message: Please cite this research as below.
type: software
authors:
- given-names: "Dmitry"
family-names: "Bagaev"
email: "d.v.bagaev@tue.nl"
orcid: "https://orcid.org/0000-0001-9655-7986"
affiliation: "Eindhoven University of Technology Eindhoven"
identifiers:
- type: doi
value: 10.5281/zenodo.5913617
description: "The versioned DOI for version 1.3.1 of the work."
- type: url
value: "https://github.com/reactivebayes/ReactiveMP.jl/releases/tag/v1.3.1"
description: "The GitHub release URL of tag 1.3.1"
- type: doi
value: 10.21105/jcon.00091
description: "The JuliaCon2021 Proceedings DOI of the work."
- type: other
value: "arXiv:2112.13251"
description: "The ArXiv preprint of the paper."
preferred-citation:
type: article
title: "Reactive Message Passing for Scalable Bayesian Inference"
authors:
- given-names: "Dmitry"
family-names: "Bagaev"
email: "d.v.bagaev@tue.nl"
orcid: "https://orcid.org/0000-0001-9655-7986"
affiliation: "Eindhoven University of Technology Eindhoven"
- given-names: "Bert"
family-names: "de Vries"
email: "bert.de.vries@tue.nl"
affiliation: "Eindhoven University of Technology Eindhoven"
orcid: "https://orcid.org/0000-0003-0839-174X"
repository-code: "https://github.com/reactivebayes/ReactiveMP.jl"
keywords:
- Bayesian Inference
- Factor Graphs
- Message Passing
- Reactive Programming
- Variational Inference
license: MIT
commit: a943ccffb16b26b7c6706abae310513dfa6c648e
version: 1.3.1
date-released: '2021-01-28'
GitHub Events
Total
- Create event: 71
- Commit comment event: 55
- Release event: 25
- Issues event: 22
- Watch event: 10
- Delete event: 45
- Issue comment event: 141
- Push event: 323
- Pull request review comment event: 20
- Pull request event: 85
- Pull request review event: 63
Last Year
- Create event: 71
- Commit comment event: 55
- Release event: 25
- Issues event: 22
- Watch event: 10
- Delete event: 45
- Issue comment event: 141
- Push event: 323
- Pull request review comment event: 20
- Pull request event: 85
- Pull request review event: 63
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 42
- Total pull requests: 169
- Average time to close issues: 5 months
- Average time to close pull requests: 23 days
- Total issue authors: 18
- Total pull request authors: 13
- Average comments per issue: 4.74
- Average comments per pull request: 1.55
- Merged pull requests: 138
- Bot issues: 0
- Bot pull requests: 26
Past Year
- Issues: 11
- Pull requests: 94
- Average time to close issues: 9 days
- Average time to close pull requests: 16 days
- Issue authors: 8
- Pull request authors: 10
- Average comments per issue: 2.09
- Average comments per pull request: 1.57
- Merged pull requests: 69
- Bot issues: 0
- Bot pull requests: 21
Top Authors
Issue Authors
- bvdmitri (14)
- albertpod (9)
- erlebach (3)
- bartvanerp (3)
- bertdv (2)
- wouterwln (2)
- abpolym (2)
- wmkouw (2)
- caxelrud (2)
- Sibgatulin (1)
- JuliaTagBot (1)
- Nimrais (1)
- ismailsenoz (1)
- HiroIshida (1)
- torfjelde (1)
Pull Request Authors
- bvdmitri (73)
- wouterwln (32)
- github-actions[bot] (28)
- albertpod (18)
- bartvanerp (17)
- ismailsenoz (17)
- A-Vzer (6)
- Nimrais (5)
- Raphael-Tresor (3)
- cscherrer (2)
- wmkouw (2)
- abpolym (2)
- JimBeckers (1)
- HoangMHNguyen (1)
- mhidalgoaraya (1)
Top Labels
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Packages
- Total packages: 1
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Total downloads:
- julia 80 total
- Total dependent packages: 1
- Total dependent repositories: 0
- Total versions: 110
juliahub.com: ReactiveMP
High-performance reactive message-passing based Bayesian inference engine
- Homepage: https://reactivebayes.github.io/ReactiveMP.jl/
- Documentation: https://docs.juliahub.com/General/ReactiveMP/stable/
- License: MIT
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Latest release: 5.5.9
published 7 months ago
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