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freeCodeCamp.org's open-source codebase and curriculum. Learn math, programming, and computer science for free.
Godot Engine – Multi-platform 2D and 3D game engine
Create agents that monitor and act on your behalf. Your agents are standing by!
The Big List of Naughty Strings is a list of strings which have a high probability of causing issues when used as user-input data.
Style guides for Google-originated open-source projects
Fabric is an open-source framework for augmenting humans using AI. It provides a modular system for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.
🛡️ ⚛️ A simple, scalable, and powerful architecture for building production ready React applications.
Develop Desktop, Embedded, Mobile and WebAssembly apps with C# and XAML. The most popular .NET UI client technology
An AI-powered task-management system you can drop into Cursor, Lovable, Windsurf, Roo, and others.
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…
Security Guide for Developers
Normalizes nested JSON according to a schema
Vitess is a database clustering system for horizontal scaling of MySQL.
Intelligent automation and multi-agent orchestration for Claude Code
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
A configuration framework that enhances Claude Code with specialized commands, cognitive personas, and development methodologies.
A curated list of awesome commands, files, and workflows for Claude Code
DNS-Blocklists: For a better internet - keep the internet clean!
📚 Learn to write an embedded OS in Rust 🦀
ES2015 [ES6] cheatsheet containing tips, tricks, best practices and code snippets
Embedded web server, with TCP/IP network stack, MQTT and Websocket
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.