Lists (3)
Sort Name ascending (A-Z)
Starred repositories
😎 Awesome lists about all kinds of interesting topics
A complete computer science study plan to become a software engineer.
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
21 Lessons, Get Started Building with Generative AI
Python tool for converting files and office documents to Markdown.
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
An extremely fast Python package and project manager, written in Rust.
Model Context Protocol Servers
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
Go implementation of the Ethereum protocol
Lightweight coding agent that runs in your terminal
Transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows.
A curated list of software and architecture related design patterns.
12 Lessons to Get Started Building AI Agents
12 Weeks, 24 Lessons, AI for All!
An extremely fast Python linter and code formatter, written in Rust.
A community-maintained Python framework for creating mathematical animations.
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, i…
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
OpenZeppelin Contracts is a library for secure smart contract development.
A simple screen parsing tool towards pure vision based GUI agent
System design interview for IT companies
Mastering Ethereum, by Andreas M. Antonopoulos, Gavin Wood
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.