probml / pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Why this job: topics: jax, tensorflow, machine-learning, pytorch
What it does
Python 3 code to reproduce the figures in the books Probabilistic Machine Learning: An Introduction (aka "book 1") and Probabilistic Machine Learning: Advanced Topics (aka "book 2"). The code uses the standard Python libraries, such as numpy, scipy, matplotlib, sklearn, etc. Some of the code (especially in book 2) also uses JAX, and in some parts of book 1, we also use Tensorflow 2 and a little bit of Torch. See also probml-utils for some utility code that is shared across multiple notebooks.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 8 months ago
- Stars
- 7,185
- +8 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.1.0
- Released 4 years ago
- Built with
- Jupyter Notebook
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 92% closed
- 39 still open
- Pull requests
- 578 merged
- 2 waiting
- Releases
- 1
- 0 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Jupyter Notebook 100%
- Python <1%
- TeX <1%
- MATLAB <1%
Topics
- jupyter-notebooks
- machine-learning
- colab
- pml
- probabilistic-programming
- jax
- tensorflow
- pytorch
- pymc3
- numpyro
- flax
- pyro
Project record
- JobAI libraries and models
- StatusListed
- Commits3,045
- Forks1,643
- Watching194
- Stars in 28 days+21
- CreatedAug 17, 2016
- First seen by usNov 7, 2026
- CheckedNov 8, 2026