Math-behind-AI/ScratchAI
This repository is dedicated to building ML & DL algorithms from scratch
This project helps machine learning engineers and data scientists understand the underlying mathematics and intuition of various AI algorithms. It provides implementations of common machine learning and deep learning algorithms built from the ground up, allowing users to see how complex mathematical functions work behind the scenes. Developers interested in the foundational mechanics of AI models would use this.
No commits in the last 6 months.
Use this if you are a developer or student who wants to deeply understand the mathematical principles and internal workings of machine learning and deep learning algorithms by examining their code implementations.
Not ideal if you are looking for a pre-built library to quickly apply AI models to solve real-world problems without diving into their foundational code.
Stars
40
Forks
20
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Oct 30, 2023
Commits (30d)
0
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