TensorInference
TensorInference: A Julia package for tensor-based probabilistic inference - Published in JOSS (2023)
Science Score: 98.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 1 DOI reference(s) in JOSS metadata -
✓Academic publication links
Links to: joss.theoj.org -
○Committers with academic emails
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○Institutional organization owner
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✓JOSS paper metadata
Published in Journal of Open Source Software
Keywords from Contributors
Repository
Probabilistic inference using contraction of tensor networks
Basic Info
- Host: GitHub
- Owner: TensorBFS
- License: mit
- Language: Julia
- Default Branch: main
- Homepage: https://tensorbfs.github.io/TensorInference.jl/
- Size: 2.75 MB
Statistics
- Stars: 25
- Watchers: 2
- Forks: 3
- Open Issues: 6
- Releases: 11
Metadata Files
README.md
TensorInference is an open source
Features
TensorInference supports finding solutions to the most common probability inference tasks of the UAI inference competitions, which include:
- PR: The partition function or probability of evidence
- MAR: The marginal probability distribution over all variables given evidence
- MAP: The most likely assignment to all variables given evidence
- MMAP: The most likely assignment to the query variables after marginalizing out the remaining variables
Installation
Install TensorInference through the Julia package manager:
julia
pkg> add TensorInference
Examples
Usage examples can be found in the examples folder, and for a comprehensive introduction to the package read the documentation .
Citing
If you use TensorInference as part of your research, teaching, or other activities, please consider citing our work.
Questions and Contributions
Please open an issue if you encounter any problems, or have any feature requests.
Owner
- Name: TensorBFS
- Login: TensorBFS
- Kind: organization
- Location: You have to measure
- Repositories: 9
- Profile: https://github.com/TensorBFS
Tensorize Everything!
JOSS Publication
TensorInference: A Julia package for tensor-based probabilistic inference
Authors
Eindhoven University of Technology
Hong Kong University of Science and Technology (Guangzhou)
Editor
Øystein Sørensen
Tags
probabilistic graphical models tensor networks probabilistic inferenceCitation (CITATION.bib)
@article{Roa-Villescas2023,
doi = {10.21105/joss.05700},
url = {https://doi.org/10.21105/joss.05700},
year = {2023},
publisher = {The Open Journal},
volume = {8},
number = {90},
pages = {5700},
author = {Martin Roa-Villescas and Jin-Guo Liu},
title = {TensorInference: A Julia package for tensor-based probabilistic inference},
journal = {Journal of Open Source Software}
}
GitHub Events
Total
- Create event: 7
- Issues event: 2
- Release event: 3
- Watch event: 5
- Issue comment event: 29
- Push event: 28
- Pull request review event: 2
- Pull request review comment event: 1
- Pull request event: 6
Last Year
- Create event: 7
- Issues event: 2
- Release event: 3
- Watch event: 5
- Issue comment event: 29
- Push event: 28
- Pull request review event: 2
- Pull request review comment event: 1
- Pull request event: 6
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| GiggleLiu | c****9@g****m | 109 |
| Martin Roa Villescas | m****i@g****m | 93 |
| github-actions[bot] | 4****] | 3 |
| Xuanzhao Gao | 4****o | 1 |
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 46
- Total pull requests: 54
- Average time to close issues: 29 days
- Average time to close pull requests: 7 days
- Total issue authors: 7
- Total pull request authors: 5
- Average comments per issue: 1.76
- Average comments per pull request: 2.09
- Merged pull requests: 43
- Bot issues: 0
- Bot pull requests: 8
Past Year
- Issues: 1
- Pull requests: 4
- Average time to close issues: about 16 hours
- Average time to close pull requests: 4 days
- Issue authors: 1
- Pull request authors: 2
- Average comments per issue: 2.0
- Average comments per pull request: 5.0
- Merged pull requests: 3
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- GiggleLiu (13)
- mroavi (13)
- gdalle (8)
- osorensen (4)
- fliingelephant (1)
- JuliaTagBot (1)
Pull Request Authors
- GiggleLiu (35)
- mroavi (12)
- github-actions[bot] (8)
- fliingelephant (2)
- ArrogantGao (2)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- julia 12 total
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 11
juliahub.com: TensorInference
Probabilistic inference using contraction of tensor networks
- Homepage: https://tensorbfs.github.io/TensorInference.jl/
- Documentation: https://docs.juliahub.com/General/TensorInference/stable/
- License: MIT
-
Latest release: 0.6.2
published 8 months ago
Rankings
Dependencies
- actions/checkout v3 composite
- codecov/codecov-action v3 composite
- julia-actions/cache v1 composite
- julia-actions/julia-buildpkg v1 composite
- julia-actions/julia-processcoverage v1 composite
- julia-actions/julia-runtest v1 composite
- julia-actions/setup-julia v1 composite
- JuliaRegistries/TagBot v1 composite
- actions/checkout v2 composite
- julia-actions/julia-buildpkg latest composite
- julia-actions/setup-julia latest composite
- actions/checkout v3 composite
- julia-actions/setup-julia latest composite