Stars
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Render any git repo into a single static HTML page for humans or LLMs
gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI
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?
Automatically generate admin interfaces from OpenAPI specifications
An open-source AI agent that brings the power of Gemini directly into your terminal.
Model Context Protocol Servers
Build an email assistant with human-in-the-loop and memory
🚀 PR-Agent: An AI-Powered 🤖 Tool for Automated Pull Request Analysis, Feedback, Suggestions and More! 💻🔍 (For more advanced: check Qodo Merge)
Generate images of code and terminal output 📸
A compact and highly efficient workflow and Business Process Management (BPM) platform for developers, system admins and business users.
LEAKED SYSTEM PROMPTS FOR CHATGPT, GEMINI, GROK, CLAUDE, PERPLEXITY, CURSOR, DEVIN, REPLIT, AND MORE! - AI SYSTEMS TRANSPARENCY FOR ALL! 👐
Example code for Fluent Python, 2nd edition (O'Reilly 2022)
Example code for the book Fluent Python, 1st Edition (O'Reilly, 2015)
Hands-On Reinforcement Learning with Python, published by Packt
An OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES
Render markdown on the CLI, with pizzazz! 💅🏻
DeerFlow is a community-driven Deep Research framework, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community.
Minimal and Clean Reinforcement Learning Examples
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Course materials and notes for DeepLearning.AI's Reasoning with o1 course.
PyTorch implementations of deep reinforcement learning algorithms and environments
An enterprise-class UI design language and React UI library
Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
Collection of Slides for David Silver's Reinforcement Learning Course on Youtube