https://github.com/alan-turing-institute/pdsampler.jl
Piecewise Deterministic Sampler library (Bouncy particle sampler, Zig Zag sampler, ...)
Science Score: 10.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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○DOI references
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✓Academic publication links
Links to: arxiv.org -
○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (16.6%) to scientific vocabulary
Keywords
Repository
Piecewise Deterministic Sampler library (Bouncy particle sampler, Zig Zag sampler, ...)
Basic Info
Statistics
- Stars: 33
- Watchers: 7
- Forks: 8
- Open Issues: 10
- Releases: 0
Topics
Metadata Files
README.md
PDSampler
Unix/OSX | Windows | CodeCov | Docs | License
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PDSampler.jl is a package designed to provide an efficient, flexible, and expandable framework for samplers based on Piecewise Deterministic Markov Processes and their applications. This includes the Bouncy Particle Sampler and the Zig-Zag Sampler.
Please refer to the documentation for information on how to use/expand this package.
The project is hosted by the Alan Turing Institute (ATI). If you encounter problems, please open an issue on Github.
If you have comments or wish to collaborate, please send an email to tlienart > cpg σ gmail > com.
If you find this toolbox useful please star the repo. If you use it in your work, please cite this code and send us an email so that we can cite your work here.
If you want to make suggestions, if you want new features, please don't hesitate, open an issue or send an email.
Contributors
- Thibaut Lienart (main dev)
- Sebastian Vollmer
- Andrew Duncan
- Martin O'Reilly (ATI)
Installation and requirements
(This is explained in more details in the documentation)
Requirements:
- Julia ∈
[0.7.*, 1.0.*], if you're on0.6, check out the last legacy release.
In the Julia REPL:
julia
] add PDSampler
using PDSampler
Note that loading the package may take several seconds as some of the dependencies (in particular ApproxFun.jl are quite slow to load).
References
- Alexandre Bouchard-Côté, Sebastian J. Vollmer and Arnaud Doucet, The Bouncy Particle Sampler: A Non-Reversible Rejection-Free Markov Chain Monte Carlo Method, arXiv preprint, 2015.
- Joris Bierkens, Alexandre Bouchard-Côté, Arnaud Doucet, Andrew B. Duncan, Paul Fearnhead, Gareth Roberts and Sebastian J. Vollmer, Piecewise Deterministic Markov Processes for Scalable Monte Carlo on Restricted Domains, arXiv preprint, 2017.
- Joris Bierkens, Paul Fearnhead and Gareth Roberts, The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data, arXiv preprint, 2016.
- Changye Wu, Christian Robert, Generalized Bouncy Particle Sampler, arXiv preprint, 2017.
Note: if your paper is not listed here and you feel like it should, please open an issue (same goes if there is a mistake or if a preprint is now a proper-print).
Owner
- Name: The Alan Turing Institute
- Login: alan-turing-institute
- Kind: organization
- Email: info@turing.ac.uk
- Website: https://turing.ac.uk
- Repositories: 477
- Profile: https://github.com/alan-turing-institute
The UK's national institute for data science and artificial intelligence.
GitHub Events
Total
Last Year
Committers
Last synced: about 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Thibaut Lienart | l****b@m****m | 201 |
| Thibaut Lienart | t****t@m****m | 40 |
| Martin O'Reilly | d****r@m****t | 11 |
| Thibaut Lienart | t****t@T****l | 1 |
| Sebastian Vollmer | s****r@g****m | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 10 months ago
All Time
- Total issues: 33
- Total pull requests: 4
- Average time to close issues: 21 days
- Average time to close pull requests: about 6 hours
- Total issue authors: 5
- Total pull request authors: 4
- Average comments per issue: 2.09
- Average comments per pull request: 1.5
- Merged pull requests: 3
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- tlienart (29)
- DilumAluthge (1)
- chcolapara (1)
- martintoreilly (1)
- sdwfrost (1)
Pull Request Authors
- tlienart (1)
- DilumAluthge (1)
- martintoreilly (1)
- vollmersj (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
- Total downloads: unknown
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 1
juliahub.com: PDSampler
Piecewise Deterministic Sampler library (Bouncy particle sampler, Zig Zag sampler, ...)
- Documentation: https://docs.juliahub.com/General/PDSampler/stable/
- License: MIT
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Latest release: 0.1.1
published over 7 years ago
Rankings
Dependencies
- ApproxFun *
- Compat *
- DataStructures *
- Distributions *
- Polynomials *
- ProgressMeter *
- QuadGK *
- StatsBase *
- julia 0.7