acerbilab / pyvbmc

PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python

Date Created 2021-01-19 (3 years ago)

Commits 315 (last one 2 months ago)

Stargazers 116 (0 this week)

Watchers 5 (0 this week)

Forks 7

License bsd-3-clause

Ranking

RepositoryStats indexes 595,856 repositories, of these acerbilab/pyvbmc is ranked #266,169 (55th percentile) for total stargazers, and #335,688 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #49,177/119,431.

acerbilab/pyvbmc is also tagged with popular topics, for these it's ranked: python (#11,876/22324), machine-learning (#4,430/8063), data-analysis (#387/671)

Other Information

acerbilab/pyvbmc has 2 open pull requests on Github, 138 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there is 1 open issue and 11 closed issues.

There have been 7 releases, the latest one was published on 2024-09-25 (2 months ago) with the name v1.0.4.

Homepage URL: https://acerbilab.github.io/pyvbmc/

All Topics

python data-analysis machine-learning bayesian-inference gaussian-processes variational-inference

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108 commits on the default branch (main) since jan '22

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updated: 2024-12-21 @ 05:27am, id: 330966731 / R_kgDOE7omyw