rougier/ML-Recipes
A collection of stand-alone Python machine learning recipes
This collection provides fundamental machine learning algorithms as clear, individual Python code examples. It's designed for data scientists, researchers, or students who need to understand how core algorithms like neural networks, multi-armed bandits, or dimensionality reduction techniques work from first principles. You input raw data or problem parameters, and it provides the algorithm's output or a trained model.
681 stars. No commits in the last 6 months.
Use this if you need to quickly prototype, learn, or demonstrate how a specific, classic machine learning algorithm functions without external dependencies or complex frameworks.
Not ideal if you're looking for a production-ready library with extensive optimizations, high-performance capabilities, or a wide range of advanced, cutting-edge models.
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Language
Python
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BSD-2-Clause
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Last pushed
Jun 30, 2021
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