Search awesome repositories

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

All Algorithms implemented in Python

An Open Source Machine Learning Framework for Everyone

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.

A feature-rich command-line audio/video downloader

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.

The agent engineering platform.

The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.

Agents that use the browser.

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

利用 AI 大模型和自动化工作流，根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

FastAPI framework, high performance, easy to learn, fast to code, ready for production

Magnificent app which corrects your previous console command.

Animation engine for explanatory math videos

Hunt down social media accounts by username across social networks

The Web framework for perfectionists with deadlines.

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

:house_with_garden: Open source home automation that puts local control and privacy first.

An extremely fast Python package and project manager, written in Rust.

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.

Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.

Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1

Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more.

Apache Superset is a Data Visualization and Data Exploration Platform

🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!

Open Data Platform for analysts, quants and AI agents.

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.