Stars
Unofficial Galaxy Buds Manager for Windows, macOS, Linux, and Android
Nintendo Switch emulator written in C#, originally created by gdkchan.
A privacy-first, open-source platform for knowledge management and collaboration. Download link: http://github.com/logseq/logseq/releases. roadmap: http://trello.com/b/8txSM12G/roadmap
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Use PEFT or Full-parameter to finetune 400+ LLMs (Qwen2.5, Llama3.2, GLM4, Internlm2.5, Yi1.5, Mistral, Baichuan2, DeepSeek, ...) and 150+ MLLMs (Qwen2-VL, Qwen2-Audio, Llama3.2-Vision, Llava, Inte…
A rule-based tunnel for Android.
FastAPI framework, high performance, easy to learn, fast to code, ready for production
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, and more.
Question and Answer based on Anything.
Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you're empowered to run inference with …
使用GPT-3.5 API创建的Copilot,支持office、word、wps中使用,任意软件内选中文本补全内容,word copilot
使用GPT-3.5 API创建的ChatGPT聊天页面,支持云部署,多用户使用,多对话管理,公式显示,流式动态显示,windows和linux均可极简部署,网页版 html python flask
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
YAYI 2 是中科闻歌研发的新一代开源大语言模型,采用了超过 2 万亿 Tokens 的高质量、多语言语料进行预训练。(Repo for YaYi 2 Chinese LLMs)
雅意大模型:为客户打造安全可靠的专属大模型,基于大规模中英文多领域指令数据训练的 LlaMA 2 & BLOOM 系列模型,由中科闻歌算法团队研发。(Repo for YaYi Chinese LLMs based on LlaMA2 & BLOOM)
Xray, Penetrates Everything. Also the best v2ray-core, with XTLS support. Fully compatible configuration.
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: …
Langchain-Chatchat(原Langchain-ChatGLM)基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and…
面向开发者的 LLM 入门教程,吴恩达大模型系列课程中文版
🦜🔗 Build context-aware reasoning applications