12 Weeks, 24 Lessons, AI for All!

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…

Comprehensive roadmap for aspiring Embedded Systems Engineers, featuring a curated list of learning resources

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed …

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

This is a repo with links to everything you'd ever want to learn about data engineering

A model-driven approach to building AI agents in just a few lines of code.

Repo to accompany my mastering LLM engineering course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.

The Ultimate FREE Machine Learning Study Plan

An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Pocket Flow: Codebase to Tutorial

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Python - 100天从新手到大师

📚 Freely available programming books

Curated list of project-based tutorials