Benardi/touvlo
:robot: ML algorithms implemented from scratch and provided block by block
This project helps software developers and machine learning engineers understand how core machine learning algorithms work by providing implementations built from scratch. It takes foundational mathematical concepts and translates them into tested code blocks, allowing users to see the underlying logic of various ML models. Developers or students learning machine learning would use this to grasp the mechanics of algorithms.
No commits in the last 6 months.
Use this if you are a developer or student who wants to deeply understand the mechanics and foundational logic behind common machine learning algorithms, rather than just using them off-the-shelf.
Not ideal if you need high-performance, production-ready machine learning models for real-world applications.
Stars
12
Forks
18
Language
Python
License
MIT
Category
Last pushed
Dec 30, 2019
Commits (30d)
0
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