lanxingjue

lanxingjue's Stars

• langchain-ai/langchain

  🦜🔗 Build context-aware reasoning applications

  Language:Jupyter Notebook92.3k6787.5k14.7k

• gpt-engineer-org/gpt-engineer

  Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app

  Language:Python52k5054756.8k

• reworkd/AgentGPT

  🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.

  Language:TypeScript31.4k2954579.2k

• chatchat-space/Langchain-Chatchat

  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 Llama) RAG and Agent app with langchain

  Language:TypeScript31.2k2823.8k5.4k

• RVC-Project/Retrieval-based-Voice-Conversion-WebUI

  Easily train a good VC model with voice data <= 10 mins!

  Language:Python22.9k1671.6k3.4k

• mem0ai/mem0

  The Memory layer for your AI apps

  Language:Python21.7k1236312k

• TransformerOptimus/SuperAGI

  <⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.

  Language:Python15.3k1734051.8k

• AmazingAng/WTF-Solidity

  WTF Solidity 极简入门教程，供小白们使用。Now supports English! 官网: https://wtf.academy

  Language:Solidity11.3k1411842k

• vanna-ai/vanna

  🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.

  Language:Python10.8k76284835

• Licoy/ChatGPT-Midjourney

  🍭 一键拥有你自己的 ChatGPT+StabilityAI+Midjourney 网页服务 | Own your own ChatGPT+StabilityAI+Midjourney web service with one click

  Language:TypeScript6.3k38921.8k

• firerpa/lamda

  ⚡️ Android reverse engineering & automation framework | 史上最强安卓抓包/逆向/HOOK & 云手机/远程桌面/自动化取证 ALL-IN-ONE 框架，你的工作从未如此简单快捷。

  Language:Python5.9k6191831

• wanglin2/mind-map

  一个还算强大的Web思维导图。A relatively powerful web mind map.

  Language:JavaScript5.8k34747831

• mherrmann/helium

  Lighter web automation with Python

  Language:Python4.8k7893364

• tmc/langchaingo

  LangChain for Go, the easiest way to write LLM-based programs in Go

  Language:Go4.2k36296585

• OpenBMB/AgentVerse

  🤖 AgentVerse 🪐 is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation

  Language:JavaScript4k6278387

• minimaxir/simpleaichat

  Python package for easily interfacing with chat apps, with robust features and minimal code complexity.

  Language:Python3.5k3582228

• imsyy/home

  个人主页，我的个人主页，个人主页源码，主页模板，homepage

  Language:Vue3.2k91632k

• X-D-Lab/LangChain-ChatGLM-Webui

  基于LangChain和ChatGLM-6B等系列LLM的针对本地知识库的自动问答

  Language:Python3.1k27131474

• WTFAcademy/WTF-Ethers

  我最近在重新学ethers.js，巩固一下细节，也写一个“WTF Ethers.js极简入门”，供小白们使用，每周更新1-3讲。Now supports English! 官网: https://wtf.academy

  Language:JavaScript3k2953486

• danvergara/dblab

  The database client every command line junkie deserves.

  Language:Go2.3k135660

• fwwdn/sensitive-stop-words

  互联网常用敏感词、停止词词库

  1.2k283622

• mpaepper/llm_agents

  Build agents which are controlled by LLMs

  Language:Python92510366

• orgexyz/BlockAGI

  Your Self-Hosted, Hackable Research Agent Inspired by AutoGPT

  Language:Python28911949

• XpressAI/xai-gpt-agent-toolkit

  Xircuits toolkit for creating and experimenting with BabyAGI/AutoGPT-style agents

  Language:Python28710443

• jayli/langchain-GLM_Agent

  本地知识库 + chatGLM6B + CustomAgent

  Language:Python2513450

• 0x5446/api4sensevoice

  API and websocket server for sensevoice. It has inherited some enhanced features, such as VAD detection, real-time streaming recognition, and speaker verification.

  Language:Python12015

• iranee/qnap-zerotier

  ZeroTier For QNAP with WebUI

  Language:PHP85251

• Executedone/ChatGLM4Tools

  chatglm-6B for tools application using langchain

  Language:Python761417

• mangege/leek

  跨交易所套利框架.基于 Python asyncio, CCXT, WebSocket.

  Language:Python534221

• ChaosAdmStudent/qualitative-badminton-player-analysis

  In this group project carried out with @Anannyap7, the aim is to take a professional badminton match video as an input and predict the most probable space on the court where the shot will be hit by the player on the near side of the court.

  Language:Jupyter Notebook23304