Lists (4)
Best AI/ML Guides 📖
A curated list of the best AI/ML guides. (Last update: May 2025)Best Cloud AI/ML ☁️
A curated list of the best guides/resources for deploy AI/ML on cloud (March 25)Best Open Source AI/ML Tools 🛠️
A curated list of the best Open Source AI/ML Tools. (Last update: Mar 2025)Best Open Source AI Models 🧠
A curated list of the best Open Source AI Models for everything. (Last update: Mar 2025)Stars
Model Context Protocol (MCP) Server for UK Visa Sponsor Verification and Background Checking
DSPy: The framework for programming—not prompting—language models
Model Context Protocol (MCP) Server for BCRP Economic and Financial Time Series Data
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors
Automated intelligent claims analysis for business process optimization
A collection of tabletop tasks in Mujoco
An MCP implementation for Selenium WebDriver
This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for re…
"LightRAG: Simple and Fast Retrieval-Augmented Generation"
An SDK for working with LLMs and AI Agents from Apache Airflow, based on Pydantic AI
An AI-powered solution for automatic document classification and extracting structured data from scanned document
🦛 CHONK your texts with Chonkie ✨ — The no-nonsense RAG chunking library
NVIDIA Isaac Sim™ is an open-source application on NVIDIA Omniverse for developing, simulating, and testing AI-driven robots in realistic virtual environments.
Full-stack framework for building Multi-Agent Systems with memory, knowledge and reasoning.
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
This open-source curriculum is designed to teach the concepts and fundamentals of the Model Context Protocol (MCP), with practical examples in .NET, Java, TypeScript, JavaScript and Python.
Building a Multi-Agent AI System with LangGraph and LangSmith
The AI Travel Agents is a robust enterprise application (hosted on ACA) that leverages MCP and multiple LamaIndex AI agents to enhance travel agency operations.
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
AI agent (NVIDIA NeMo Agent Toolkit) that generates test plans and Cypress automation code for web apps.