pyprobml

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.

Features

Python code for "Probabilistic Machine learning" book by Kevin Murphy
Run notebooks in colab
Documentation available
Examples available
Run the notebooks locally
Cloud computing

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License

MIT License

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Registered

2024-08-01

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