probml/pyprobml resource
Python code for "Probabilistic Machine learning" book by Kevin Murphy observed · 2026-08-28
Health v2 · maintenance only
54/100
- Activity 69
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3668
- days_rel: n/a
- days_push: 188
- n_releases_24m: 0
Adoption not part of the score
7132 stars · 1629 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A collection of Jupyter notebooks with Python code reproducing the figures from Kevin Murphy's 'Probabilistic Machine Learning' books (Introduction and Advanced Topics). The code uses numpy, scipy, sklearn, JAX, TensorFlow, and PyTorch, and is designed to run locally or in Google Colab.
Use cases
- reproduce figures from the probabilistic machine learning book
- learn probabilistic machine learning with runnable code examples
- study JAX and probabilistic programming through notebooks
- find worked examples of Bayesian machine learning algorithms
- run machine learning textbook notebooks in Google Colab
- learn numpyro, blackjax, and flax through examples
When to choose
- you are reading Kevin Murphy's PML books and want accompanying code
- you want educational notebooks on probabilistic ML and Bayesian methods
- you want examples across multiple frameworks like JAX, TensorFlow, and PyTorch
When to avoid
- you need a production-ready machine learning library
- you need actively developed or supported software - the code is in maintenance mode
- you need a curated course rather than figure-reproduction notebooks
Facets
learning-resource · maturity maintenance
machine-learning data-visualization developer-tools machine-learning education data-science tutorials python jvm-scripting cross-platform browser jupyter-notebooks probabilistic-machine-learning jax tensorflow pytorch kevin-murphy textbook-code colab probabilistic-programming
1 source
- readme: https://github.com/probml/pyprobml · fetched 2026-08-28 · a823a618fe92
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| probml/pyprobml | main | 54 |
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