Science Score: 54.0%
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
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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✓Academic publication links
Links to: arxiv.org -
✓Committers with academic emails
2 of 8 committers (25.0%) from academic institutions -
✓Institutional organization owner
Organization bat has institutional domain (www.mpp.mpg.de) -
○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (11.4%) to scientific vocabulary
Keywords
Keywords from Contributors
Repository
Metric Gaussian Variational Inference
Basic Info
Statistics
- Stars: 8
- Watchers: 7
- Forks: 2
- Open Issues: 2
- Releases: 14
Topics
Metadata Files
README.md
MGVI.jl
This is an implementation of the Metric Gaussian Variational Inference (MGVI) algorithm in julia
MGVI is an iterative method that performs a series of Gaussian approximations to the posterior. It alternates between approximating the covariance with the inverse Fisher information metric evaluated at an intermediate mean estimate and optimizing the KL-divergence for the given covariance with respect to the mean. This procedure is iterated until the uncertainty estimate is self-consistent with the mean parameter. We achieve linear scaling by avoiding to store the covariance explicitly at any time. Instead we draw samples from the approximating distribution relying on an implicit representation and numerical schemes to approximately solve linear equations. Those samples are used to approximate the KL-divergence and its gradient. The usage of natural gradient descent allows for rapid convergence. Formulating the Bayesian model in standardized coordinates makes MGVI applicable to any inference problem with continuous parameters.
Documentation
Citing MGVI.jl
When using MGVI.jl for research, teaching or similar, please cite MGVI:
@article{knollmüller2020metric,
title={Metric Gaussian Variational Inference},
author={Jakob Knollmüller and Torsten A. Enßlin},
year={2020},
eprint={1901.11033},
archivePrefix={arXiv},
primaryClass={stat.ML}
}
Owner
- Name: Bayesian analysis toolkit
- Login: bat
- Kind: organization
- Email: bat@mpp.mpg.de
- Website: https://www.mpp.mpg.de/bat/
- Repositories: 24
- Profile: https://github.com/bat
GitHub Events
Total
- Create event: 7
- Commit comment event: 8
- Release event: 4
- Delete event: 4
- Issue comment event: 10
- Push event: 46
- Pull request event: 10
Last Year
- Create event: 7
- Commit comment event: 8
- Release event: 4
- Delete event: 4
- Issue comment event: 10
- Push event: 46
- Pull request event: 10
Committers
Last synced: almost 3 years ago
All Time
- Total Commits: 94
- Total Committers: 8
- Avg Commits per committer: 11.75
- Development Distribution Score (DDS): 0.521
Top Committers
| Name | Commits | |
|---|---|---|
| Victor Ananyev | v****0@g****m | 45 |
| Oliver Schulz | o****z@m****e | 35 |
| github-actions[bot] | 4****]@u****m | 7 |
| CompatHelper Julia | c****y@j****g | 3 |
| apmypb | 4****b@u****m | 1 |
| Scott Hayashi | s****i@t****e | 1 |
| Jakob Knollmüller | j****r@M****l | 1 |
| jknollm | j****b@k****e | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: about 1 year ago
All Time
- Total issues: 1
- Total pull requests: 51
- Average time to close issues: less than a minute
- Average time to close pull requests: 13 days
- Total issue authors: 1
- Total pull request authors: 7
- Average comments per issue: 14.0
- Average comments per pull request: 1.1
- Merged pull requests: 38
- Bot issues: 0
- Bot pull requests: 18
Past Year
- Issues: 0
- Pull requests: 5
- Average time to close issues: N/A
- Average time to close pull requests: about 1 month
- Issue authors: 0
- Pull request authors: 2
- Average comments per issue: 0
- Average comments per pull request: 1.0
- Merged pull requests: 4
- Bot issues: 0
- Bot pull requests: 1
Top Authors
Issue Authors
- JuliaTagBot (1)
Pull Request Authors
- github-actions[bot] (18)
- oschulz (18)
- vindex10 (17)
- dependabot[bot] (2)
- apmypb (1)
- jknollm (1)
- sthayashi (1)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- JuliaRegistries/TagBot v1 composite
- actions/cache v2 composite
- actions/checkout v2 composite
- codecov/codecov-action v1 composite
- julia-actions/julia-buildpkg latest composite
- julia-actions/julia-docdeploy latest composite
- julia-actions/julia-processcoverage v1 composite
- julia-actions/julia-runtest latest composite
- julia-actions/setup-julia latest composite