acerbilab / pyvbmc
PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
Why this job: matched by what the repo talks about: inference, model, algorithm
What it does
PyVBMC is one of the open-source tools for fitting models to data from the Machine and Human Intelligence Group at the University of Helsinki. Check out our other tools, such as PyBADS for point estimates and PyIBS for models that can only be simulated.
Get started
python -m pip install --upgrade pyvbmc- Maintenance
- Active
- Last commit 8 days ago
- Stars
- 137
- On GitHub
- Licence
- BSD-3-Clause
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.5.0
- Released 29 days ago
- Built with
- Python
- 99% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 183 merged
- 0 waiting
- Releases
- 8
- 1 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 99%
- Shell 1%
- MATLAB <1%
- Batchfile <1%
Topics
- bayesian-inference
- data-analysis
- gaussian-processes
- machine-learning
- python
- variational-inference
Project record
- JobLocal LLMs
- StatusListed
- Commits1,754
- Forks12
- Watching3
- Stars in 28 days+2
- CreatedJan 19, 2021
- First seen by usNov 7, 2026
- CheckedNov 8, 2026