Python and MATLAB code for online linear algebra course

Create, Evaluate, and Connect AI Skills

A beginners guide to all things robotics

An all-in-one, pure C++ inference engine for audio models, powered by ggml. Supports TTS, STT, VAD, voice conversion, music generation, and more, with highly optimized performance. No Python depend…

Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing…

A sound synthesis framework for Python, designed for clear and concise expression of musical ideas

Code examples that accompany the MDN Web Docs pages relating to Web Audio.

NVIDIA Isaac Sim™ is an open-source application on NVIDIA Omniverse for developing, simulating, and testing AI-driven robots in realistic virtual environments.

LLM training in simple, raw C/CUDA

A workshop on Linux containers: Rebuild Docker from Scratch

Standard Open Arm 100

🤗 LeLab: A web UI interface on top of LeRobot

A hands-on Swift and Metal course for building LLM inference from first principles on Apple silicon, with 48 guided lessons, runnable exercises, a native macOS Studio, and a complete companion book.

A Python port of Pi’s minimalist coding agent.

Making a mini version of the BDX droid. https://discord.gg/UtJZsgfQGe

I built Back to Engineering to make physical AI and robotics accessible to beginners. It's a tech tree. If you've played Civilization, Satisfactory, or any engineering-adjecent game, you know the f…

A curriculum for learning about gpu performance engineering, from scratch to what the frontier AI labs do

A tutorial on modern GPU programming for machine learning systems

LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.

A straightforward method for training your LLM, from downloading data to generating text.

Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.

Learn LLM internals step by step - from tokenization to attention to inference optimization.

Build your own X - Master machine learning by building everything from scratch. It aims to cover everything from linear regression to deep learning to large language models (LLMs).

Harness engineering beginner tutorial, from 0 to 1

Code repository for Manning's Build an AI Agent From Scratch