krasserm / bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
Why this job: works in the areas we cover, but does not say which job it does
What it does
This repository is a collection of notebooks about *Bayesian Machine Learning*. The following links display some of the notebooks via nbviewer to ensure a proper rendering of formulas. Dependencies are specified in requirements.txt files in subdirectories.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 4 months ago
- Stars
- 1,920
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest tag
- v-0.3
- Released 5 years ago
- Built with
- Jupyter Notebook
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 72% closed
- 5 still open
- Pull requests
- 2 merged
- 0 waiting
- Releases
- 3
- 0 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
- Jupyter Notebook 100%
- Python <1%
Topics
- machine-learning
- bayesian-methods
- bayesian-machine-learning
- gaussian-processes
- bayesian-optimization
- variational-autoencoder
Project record
- JobOther AI tools
- StatusListed
- Commits137
- Forks472
- Watching74
- Stars in 28 days+1
- CreatedMar 19, 2018
- First seen by usNov 7, 2026
- CheckedNov 8, 2026