Stars
An opinionated list of awesome Python frameworks, libraries, software and resources.
Get up and running with Kimi-K2.5, GLM-4.7, DeepSeek, gpt-oss, Qwen, Gemma and other models.
Stable Diffusion web UI
🦜🔗 The platform for reliable agents.
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI…
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
Robust Speech Recognition via Large-Scale Weak Supervision
An open-source AI agent that brings the power of Gemini directly into your terminal.
Python tool for converting files and office documents to Markdown.
🔥 The Web Data API for AI - Turn entire websites into LLM-ready markdown or structured data
real time face swap and one-click video deepfake with only a single image
Model Context Protocol Servers
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
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.
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…
A high-throughput and memory-efficient inference and serving engine for LLMs
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Interact with your documents using the power of GPT, 100% privately, no data leaks
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
No fortress, purely open ground. OpenManus is Coming.
Transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.