A book for Learning the Foundations of LLMs

500 AI Machine learning Deep learning Computer vision NLP Projects with code

Agentic Design Patterns: A Hands-On Guide to Building Intelligent Systems by Antonio Gulli

Course Repository for University of Cincinnati Malware Analysis Class (CS[567]038)

Everything you need to know to build your own RAG application

A concise, structured guide to the C programming language.

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

Paper2Agent is a multi-agent AI system that automatically transforms research papers into interactive AI agents with minimal human input.

Python interactive dashboards for learning data science

Classical equations and diagrams in machine learning

These are small C language programs meant for learning and understanding the fundamentals of programming.

12 Weeks, 24 Lessons, AI for All!

📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉

Claude Code Comprehensive Guide

"AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework"

12 Lessons to Get Started Building AI Agents

A book-in-progress about the Linux kernel and its insides.

definitive, one-stop resource for students, practitioners, and researchers aiming to build a deep and intuitive understanding of linear algebra

https://huyenchip.com/ml-interviews-book/

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

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

VIP cheatsheet for Stanford's CME 295 Transformers and Large Language Models

configs for my neovim, tmux, ghostty

LLM inference in C/C++

A curated list of 100+ libraries and frameworks for AI engineers building with LLMs

Kronos: A Foundation Model for the Language of Financial Markets

A collection of projects showcasing RAG, agents, workflows, and other AI use cases

Introduction to PyTorch, covering tensor initialization, operations, indexing, and reshaping.

🤖 AI-powered web scraping editor with visual workflow builder. Build, test & deploy web scrapers using natural language. Powered by ScrapeGraphAI & LangGraph.