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Lightweight and portable LLM sandbox runtime (code interpreter) Python library.
The Excel MCP Server is a powerful tool that enables natural language interaction with Excel files through the Model Context Protocol (MCP). It provides a comprehensive set of capabilities for read…
MCP Python Interpreter: run python code. Python-mcp-server, mcp-python-server, Code Executor
MCP 资源精选， MCP指南，Claude MCP，MCP Servers, MCP Clients
🍒 Cherry Studio is a desktop client that supports for multiple LLM providers.
Make websites accessible for AI agents
yzfly / pocketpal-ai-zh
Forked from a-ghorbani/pocketpal-ai口袋AI，将世界知识装进口袋。pocketpal-ai 中文版
The official repo of MiniMax-Text-01 and MiniMax-VL-01, large-language-model & vision-language-model based on Linear Attention
TEN Agent is a conversational voice AI agent powered by TEN, integrating Deepseek, Gemini, OpenAI, RTC, and hardware like ESP32. It enables realtime AI capabilities like seeing, hearing, and speaki…
A curated list of resources for using LLMs to develop more competitive grant applications.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Let your Claude able to think
AI 一键出书 -by 云中江树 书生浦语大模型提示工程教程项目。 在线体验： https://book.apps.langgpt.ai/
🎥 Make videos programmatically with React
Create Beautiful Resume use Claude Artifacts. AI 智能简历
A plugin that generates satirical explanation cards for Chinese phrases
SuperPrompt is an attempt to engineer prompts that might help us understand AI agents.
text and image to video generation: CogVideoX (2024) and CogVideo (ICLR 2023)
🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
Collection of leaked system prompts
[ICLR 2025] LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs
AI Agent for Twitter Personality Analysis
Turns Data and AI algorithms into production-ready web applications in no time.
Desktop app for prototyping and debugging LangGraph applications locally.
Run PyTorch LLMs locally on servers, desktop and mobile
