PRML/PRMLT

Health v2 · maintenance only

Adoption not part of the score

6201 stars · 2126 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A self-contained MATLAB toolbox implementing the machine learning algorithms from Bishop's textbook 'Pattern Recognition and Machine Learning' (PRML). The code is compact, heavily commented with references to the book's formulas, and designed for readability and research use.

Use cases

• implement PRML book algorithms in MATLAB
• learn machine learning algorithms alongside the Bishop textbook
• find a fast MATLAB kmeans or EM implementation
• study numerically stable implementations of Bayesian inference
• use compact ML code for research prototyping

When to choose

• you are studying the PRML textbook and want matching code
• you work in MATLAB and need readable, dependency-free ML algorithm implementations
• you need efficient, numerically robust MATLAB routines for research

When to avoid

• you need production-grade ML tooling in Python or another language
• you require deep learning or GPU acceleration
• you don't have a MATLAB license or the Statistics/Image Processing toolboxes

Facets

library · maturity maintenance

machine-learning data-science math machine-learning data-science education windows prml textbook-companion bayesian pattern-recognition matlab-toolbox algorithms matlab macos linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="PRML/PRMLT")