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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
An opinionated list of awesome Python frameworks, libraries, software and resources.
All Algorithms implemented in Python
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Stable Diffusion web UI
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
Command-line program to download videos from YouTube.com and other video sites
🦜🔗 The platform for reliable agents.
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Robust Speech Recognition via Large-Scale Weak Supervision
Python tool for converting files and office documents to Markdown.
🏡 Open source home automation that puts local control and privacy first.
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
Hunt down social media accounts by username across social networks
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN
Financial data platform for analysts, quants and AI agents.
CLI platform to experiment with codegen. Precursor to: https://lovable.dev
A collection of learning resources for curious software engineers
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.
LlamaIndex is the leading framework for building LLM-powered agents over your data.
An interactive TLS-capable intercepting HTTP proxy for penetration testers and software developers.
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.