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Jupyter Notebook agents
2,100 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
WangChanGLM 🐘 - The Multilingual Instruction-Following Model
Design Patterns for Multi Agents Frameworks Like Autogen, Langraph, Taskweaver,Crewai,etc
🌟DataTonic : A Data-Capable AGI-style Agent Builder of Agents , that creates swarms , runs commands and securely processes and creates datasets, databases, visualisations, and analyses.
Open source subtitling platform 💻 for transcribing and translating videos/audios in Indic languages.
Demos and sample apps using Chroma
Implementation of contextual engineering pipeline with LangChain and LangGraph Agents
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.
Flow Integrity Deterministic Enforcement System. Mechanisms for securing AI agents with information-flow control.
LoTa-Bench: Benchmarking Language-oriented Task Planners for Embodied Agents (ICLR 2024)
AI RC Car Agent that using deep reinforcement learning on Jetson Nano
Maximizing the Performance of a Simple RAG using RL
Music generated agent
Function Calling Benchmark & Testing
Function Calling Benchmark & Testing
Interpreting how transformers simulate agents performing RL tasks
An Overview of the Latest Document Chunking Research
Application of Large Language Models (LLM) for computational materials science - visit jan-janssen.com/LangSim
Code repository for "Building Agentic AI" by Sinan Ozdemir. Practical examples, experiments, and implementations covering LLMs, embeddings, agents, RAG, fine-tuning, and optimization.
This repo is for the LInkedin Learning course: Build AI Agents and Chatbots with LangGraph
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.
Awesome LLM application repo
Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers
Gen AI Large Language Model Projects
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.
Voice Agent Framework for Conversational AI
Official Python SDK for the ScrapeGraph AI API. Smart scraping, search, crawling, markdownify, agentic browser automation, scheduled jobs, and structured data extraction
Practical Jupyter notebooks from Andrew Ng and Isa Fulford's "ChatGPT Prompt Engineering for Developers" course on DeepLearning.AI.
Learn function calling and tool calling from simple tools to full agents.
[Patterns] MedAgentsBench: Benchmarking Thinking Models and Agent Frameworks for Complex Medical Reasoning
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.
Replication package for "The Rise of AI Teammates in Software Engineering (SE) 3.0: How Autonomous Coding Agents Are Reshaping SE"
Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.
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.
A Step-by-Step Implementation of Google Veo 3 Architecture from Scratch
Fully automated AI blog writer that uses LangChain and GPT type LLMs for topic selection and content generation
Design Patterns for Multi Agents Frameworks Like Autogen, Langraph, Taskweaver, Crewai,etc
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)
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.
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.
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.
Code repository for Manning's Build an AI Agent From Scratch
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
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. 🏨🌍
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.
DroidAgent: Intent-Driven Mobile GUI Testing with Autonomous LLM Agents
Collaborative Multi-Agent RAG with CrewAI
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
IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning
OS-Harm: A Benchmark for Measuring Safety of Computer Use Agents [NeurIPS 2025 Spotlight]
Hello everyone this repo will contain my journey of machine learning and DeepLearning with some exciting projects
Gen AI, Langchain v1 AI Agents, MCP, MySQL AI Agent, DeepSeek, GPT-OSS Qwen3 LLAMA Agent, Lang Graph, Ollama, KGPTalkie
Training architecture for self-improving AI agents.
A curated, hands-on library of notebooks, demos, and resources for AI/ML, Deep Learning, Generative AI, AI-Agents, fine-tuning, and modern tooling.
A Jupyter python notebook to Execute Zapier Tasks with GPT completion via Langchain
A Crash Course in Hugging Face
Two technical workshops from GenAI Hackathon Cairo 2025: build LLM apps with RAG & tools , and create a coding AI agent from scratch (Python).
An environment simulation for networks security tasks for development and testing AI based agents. Part of AI Dojo project
Yet Another Deep Dive Clone (YADDC): An automated system that transforms academic research papers into engaging podcast conversations using CrewAI and ElevenLabs.
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.
This project aims to introduce and demonstrate the practical applications of RAG using Python code in a Jupyter Notebook environment.
AI-ML Companion: an interactive platform to learn AI & ML by watching it work - 28 tracks, 400+ modules, live visualizations - plus 20+ end-to-end real world projects from classical ML, DL, Computer Vision to production LLM & multi-agent systems.
LangChain · LangGraph · Deep Agents Notebooks
This repo is for the Linkedin Learning course: Agentic AI for Developers: Concepts and Applications for Enterprises
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 fully simulated business demo built on Databricks — streaming data, AI agents, and apps you can deploy, explore, and extend.
Repository for all the code and notebooks for the O'Reilly live-training: "Getting Started with LLM Agents using Langchain"
Building RAG and Agentic Applications with Haystack 2.0, RAGAS and LangGraph 1.0 published by Packt
Learning OpenAI Agents SDK
An agentic framework for autonomous protein design
Free AI/ML course with 950+ Jupyter notebooks — Python, deep learning, LLMs, RAG, agents, prompt engineering, fine-tuning, MLOps
A blueprint for AI development, focusing on applied examples of RAG, information extraction, analysis and fine-tuning in the age of LLMs and agents.
Tutorial on how to create a ReAct agent without a LLM framework
A comprehensive collection of CrewAI quickstarts and feature demos designed to help developers learn and master the CrewAI framework through hands-on examples.
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.
A creative writing multi-agent solution to help users write articles using Aspire and Semantic Kernel
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
GenoTEX: An expert-curated benchmark for evaluating LLM agents on real-world gene expression analysis tasks. (MLCB 2025 Oral)
Hands-on hackathon challenges for developing intelligent multi-agent systems with Azure AI services, featuring insurance claim processing workflows and agent coordination.
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.
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.