rodmarkun/SmolML
A fully functional and simple Machine Learning library made entirely from scratch with Python.
This project helps aspiring machine learning practitioners understand the inner workings of common algorithms by providing transparent, from-scratch implementations. It takes raw data and foundational mathematical concepts as input, showing how they transform into functioning models like neural networks, decision trees, and regression models. This is ideal for students, educators, and self-learners keen on grasping the core mechanics of machine learning beyond just using high-level libraries.
440 stars.
Use this if you want to learn the fundamental concepts and code implementations behind machine learning algorithms, like how a neural network actually learns or how gradient descent works, without the complexity of optimized production libraries.
Not ideal if you need to build or deploy machine learning models for real-world, large-scale applications or if computational performance is a key requirement.
Stars
440
Forks
27
Language
Python
License
MIT
Category
Last pushed
Dec 28, 2025
Commits (30d)
0
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