Curated list of project-based tutorials

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.

Public repository for Agent Skills

Stable Diffusion web UI

🤗 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.

The agent engineering platform.

Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflo…

Robust Speech Recognition via Large-Scale Weak Supervision

Animation engine for explanatory math videos

Open Data Platform for analysts, quants and AI agents.

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…

Clone a voice in 5 seconds to generate arbitrary speech in real-time

Inference code for Llama models

Rich is a Python library for rich text and beautiful formatting in the terminal.

Open-Source Frontier Voice AI

Grok open release

Open-source desktop app for local LLMs. Text, vision, tool-calling, OpenAI/Anthropic-compatible API. 100% private.

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。

The uncompromising Python code formatter

Making large AI models cheaper, faster and more accessible

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

Instant voice cloning by MIT and MyShell. Audio foundation model.

The lean application framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser.

If you live in the terminal, kitty is made for you! Cross-platform, fast, feature-rich, GPU based.

💫 Industrial-strength Natural Language Processing (NLP) in Python

基于多智能体LLM的中文金融交易框架 - TradingAgents中文增强版

Code and documentation to train Stanford's Alpaca models, and generate the data.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Deezer source separation library including pretrained models.