Explore live open-source projects and AI models.

Here we have fully implemented a number of algorithms related to machine learning

A fully from-scratch Multi-Layer Perceptron built in CUDA C++ with support for both GPU and CPU training. Includes multiple activation and loss functions, a clean and modular architecture, and an easy-to-use API, all without relying on external machine learning libraries.

deep learning from scratch. uses numpy/cupy, trains in GPU, follows pytorch API

Learn Machine Learning using PySpark from scratch

A python 3 implementation of decision tree (machine learning classification algorithm) from scratch

I have written Machine learning equations from scratch in python using Andrew Ng Coursera dataset. Andrew-Ng-Coursera-Machine-learning-in-Python.

Whether you're just starting out or looking to strengthen your fundamentals, this tutorial-style project offers structured, modular code examples and clear explanations to help you confidently build and evaluate machine learning models from scratch.

This repository folder is intended for my video series "Machine Learning from The Scratch using Python" in my YouTube channel.

Creating machine learning algorithms from scratch

Machine Learning algorithms Implementation from Scratch