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Jupyter Notebook agents
2,004 Jupyter Notebook AI agents indexed on MeshKore — the most complete public catalog, ranked by popularity and updated daily.
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Jupyter Notebook agents — page 5 of 21
Optimizing Dynamic Knowledge Base Using AI Agent
Function Calling Benchmark & Testing
Function Calling Benchmark & Testing
An Overview of the Latest Document Chunking Research
This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, AutoGen, CrewAI, RAG, MCP, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.
Interpreting how transformers simulate agents performing RL tasks
Awesome LLM application repo
Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers
Application of Large Language Models (LLM) for computational materials science - visit jan-janssen.com/LangSim
大型語言模型(LLM)的讀書會內容code部分整理，此github提供簡單、免費、易實作code範例，並由淺入深帶你一步步了解如何基於python建置LLM流程、部屬功能等
Gen AI Large Language Model Projects
Practical Jupyter notebooks from Andrew Ng and Isa Fulford's "ChatGPT Prompt Engineering for Developers" course on DeepLearning.AI.
Voice Agent Framework for Conversational AI
Code repository for "Building Agentic AI" by Sinan Ozdemir. Practical examples, experiments, and implementations covering LLMs, embeddings, agents, RAG, fine-tuning, and optimization.
A framework for interpreting modern AI systems using Monte Carlo Shapley value estimation. Model-agnostic explainability across language models, vision-language models, video understanding, and autonomous agents.
This repo is for the LInkedin Learning course: Build AI Agents and Chatbots with LangGraph
Learn function calling and tool calling from simple tools to full agents.
A Step-by-Step Implementation of Google Veo 3 Architecture from Scratch
An introductory guide to LangGraph, showcasing step-by-step development from basic chains to fully functional AI agents with memory. This repository provides Python notebooks to help you understand and experiment with LangGraph’s core capabilities.
This repo contains hands-on labs for building AI Agents using the Azure AI Agent Service SDK and Semantic Kernel. The Azure AI Agent Service is used to create AI agents and Semantic Kernel is used to orchestrate the agents in a multi-agent system.
Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.
[Patterns] MedAgentsBench: Benchmarking Thinking Models and Agent Frameworks for Complex Medical Reasoning
Official Python SDK for the ScrapeGraph AI API. Smart scraping, search, crawling, markdownify, agentic browser automation, scheduled jobs, and structured data extraction
Replication package for "The Rise of AI Teammates in Software Engineering (SE) 3.0: How Autonomous Coding Agents Are Reshaping SE"
Fully automated AI blog writer that uses LangChain and GPT type LLMs for topic selection and content generation
Labs for the "Build an agentic LLM assistant on AWS" workshop. A step by step agentic llm assistant development workshop using serverless three-tier architecture.
MCP server for managing ad campaigns across Google Ads, Meta Ads, LinkedIn Ads, and TikTok Ads. 100+ tools for campaign creation, performance analysis, keyword research, and budget optimization. Works with ChatGPT, Claude, Gemini CLI, Cursor, Codex, and Windsurf.
Hybrid Conversational Bot based on both neural retrieval and neural generative mechanism with TTS.
VerifAI initiative to build open-source easy-to-deploy generative question-answering engine that can reference and verify answers for correctness (using posteriori model)
Design Patterns for Multi Agents Frameworks Like Autogen, Langraph, Taskweaver, Crewai,etc
A recipe that will walk you through using either Meta Llama 3.1 405B or OpenAI GPT-4o deployed on Azure AI to generate a synthetic dataset using UC Berkeley's Gorilla project RAFT method.
This repository contains various examples of how to use LangChain, a way to use natural language to interact with LLM, a large language model from Azure OpenAI Service.
This is a repo for studying the application of LLM Agents on Games
Roy: A lightweight, model-agnostic framework for crafting advanced multi-agent systems using large language models.
Language modeling sft demos
Implementation of a GPT-4o like Multimodal from Scratch using Python
A python package for whisper normalizer
Master the art of building and enhancing AI agents. Learn to develop flow-based applications, implement agentic search, and incorporate human-in-the-loop systems using LangGraph's powerful components.
This repository will contain the presentation and python jupyter notebooks for my DataHack Summit 2025 conference talk, Building Effective Agentic AI Systems: Lessons from the Field. Drawing from my experience building deploying Agentic AI systems, we’ll focus on three pillars: Architecting, Optimizing, and Observability for Agentic AI Systems.
Building LLaMA 4 MoE from Scratch
✈️🌍 Production-Ready TripPlanner Multi-AI Agent Project: Transform your travel planning with AI-driven assistance! From discovering dream destinations, creating custom itineraries, exploring avenues of nature, to finding local attractions and beach spots 🔍💡—all powered by industry-ready AI tools. 🏨🌍
Collaborative Multi-Agent RAG with CrewAI
IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning
This code provides a gpt agent that can automatically execute several basic steps of the lean startup approach for business model developmet
Deploy generative AI agents in your contact center for voice and chat using Amazon Connect, Amazon Lex, and Amazon Bedrock Knowledge Bases
A Jupyter python notebook to Execute Zapier Tasks with GPT completion via Langchain
DroidAgent: Intent-Driven Mobile GUI Testing with Autonomous LLM Agents
Training architecture for self-improving AI agents.
A Crash Course in Hugging Face
High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized indexes processing ⚡
가짜연 9th 깃허브 잔디심기 Stockelper Multi Agent Backend Fastapi
A self-contained multimodal AI agents lab built using MongoDB, Gemini and LangGraph.
Hello everyone this repo will contain my journey of machine learning and DeepLearning with some exciting projects
Study materials, code examples, and practice scenarios for Anthropic's Claude Certified Architect: Foundations (CCA-F) certification exam. Covers all five exam domains: agentic architecture, MCP integration, Claude Code workflows, prompt engineering, and context management.
Yet Another Deep Dive Clone (YADDC): An automated system that transforms academic research papers into engaging podcast conversations using CrewAI and ElevenLabs.
A creative writing multi-agent solution to help users write articles using Aspire and Semantic Kernel
OS-Harm: A Benchmark for Measuring Safety of Computer Use Agents [NeurIPS 2025 Spotlight]
This project aims to introduce and demonstrate the practical applications of RAG using Python code in a Jupyter Notebook environment.
An environment simulation for networks security tasks for development and testing AI based agents. Part of AI Dojo project
This repo is for the Linkedin Learning course: Agentic AI for Developers: Concepts and Applications for Enterprises
A fully simulated business demo built on Databricks — streaming data, AI agents, and apps you can deploy, explore, and extend.
Tutorial on how to create a ReAct agent without a LLM framework
Gen AI, Langchain v1 AI Agents, MCP, MySQL AI Agent, DeepSeek, GPT-OSS Qwen3 LLAMA Agent, Lang Graph, Ollama, KGPTalkie
Repository for all the code and notebooks for the O'Reilly live-training: "Getting Started with LLM Agents using Langchain"
完整的RAG技术教程 - 从基础概念到生产部署，系统化掌握检索增强生成技术。包含4个模块、20章内容、17个Jupyter Notebooks、6个企业级实战案例
This includes the original implementation of CtrlA: Adaptive Retrieval-Augmented Generation via Inherent Control.
[SOICT 2024] LLM-Powered Video Search: A Comprehensive Multimedia Retrieval System
A blueprint for AI development, focusing on applied examples of RAG, information extraction, analysis and fine-tuning in the age of LLMs and agents.
Hands-on hackathon challenges for developing intelligent multi-agent systems with Azure AI services, featuring insurance claim processing workflows and agent coordination.
A comprehensive collection of CrewAI quickstarts and feature demos designed to help developers learn and master the CrewAI framework through hands-on examples.
AI-ML Companion: an interactive platform to learn AI & ML by watching it work - 22 tracks, 300+ modules, live visualizations - plus 10 end-to-end portfolio projects from classical ML to production LLM & multi-agent systems.
Learn to create an AI Travel Agent with FastAPI, Next.js, MariaDB, MindsDB, OpenAI, and more!
The repository explores various RAG techniques, including implementation guides, use cases, and best practices. Each article is designed to help researchers, developers, and enthusiasts understand and implement RAG systems efficiently.
构建一个医疗知识图谱并基于此实现 RAG，并以此实现医学试题的生成
A re-implementation of Meta-Prompt in LangChain for building self-improving agents.
PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."
Retrieval Augmented Generation Examples - Original, GPT based, Semantic Search based.
Building RAG and Agentic Applications with Haystack 2.0, RAGAS and LangGraph 1.0 published by Packt
A curated, hands-on library of notebooks, demos, and resources for AI/ML, Deep Learning, Generative AI, AI-Agents, fine-tuning, and modern tooling.
Blog Write multi agent AI is a custom multi-agent system designed to autonomously create high-quality, research-driven blogs. Using LangChain, Gemini 2.0-Flash-EXP, and Serper Web Search Tool, it automates planning, writing, and editing to deliver human-like blogs with up-to-date references.
Learning OpenAI Agents SDK
Useful tool to build multi-agent in an easy way
GenoTEX: An expert-curated benchmark for evaluating LLM agents on real-world gene expression analysis tasks. (MLCB 2025 Oral)
Splunk App for Data Science and Deep Learning - container images repository
An agentic framework for autonomous protein design
LangChain · LangGraph · Deep Agents Notebooks
Private RAG app sample using Llama3, Ollama and PostgreSQL
It shows case studies of the LangGraph agent.
This is my Artificial Intelligence Project in which we build AI Contextual Chatbot
Two technical workshops from GenAI Hackathon Cairo 2025: build LLM apps with RAG & tools , and create a coding AI agent from scratch (Python).
Power up your data science workflow with ChatGPT.
Scripts/tools for dalle2 outpainting
NeurIPS'24 DB (Spotlight) | Instruction Tuning Large Language Models to Understand Electronic Health Records
Projeto de GenAI usando LLAMA V2 Local estilo ChatPDF
STAgent is a multimodal LLM-based AI agent that enables deep research about spatial transcriptomics data