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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 3 of 21
AI ChatBot using Python Tensorflow and Natural Language Processing (NLP) along side TFLearn
Build, evaluate and observe LLM apps
Pytorch implementation of CVPR2020 paper “VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation”
ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels (easy/hard) across eight real-life scenarios.
Implementation of "Generative Agents: Interactive Simulacra of Human Behavior" paper with Guidance and Langchain. Full features and work with local LLMs.
A set of lessons aimed at anyone learning LLM and generative AI concepts, with sections on operations and security, as well as development.
Save thousands of lines of code by building universal, domain-agnostic Multi-Agent Systems (MAS) through high-level semantic orchestration. This repository provides a production-ready blueprint for the Agentic Era, allowing you to replace rigid, hard-coded workflows with a dynamic transparent Context Engine that provides 100% transparency.
Benchmarking library for RAG
A repo built for the purpose of benchmarking the performance of agents, regardless of how they are set up and how they work.
从零走向AGI之路！！！旨在深入了解通用人工智能（AGI）的发展路径，从最基础的概念起，逐步构建完整的知识体系。涵盖AI Agent、RAG、MCP、具身智能、大语言模型、多模态、数字人、AI绘画、AI视频等！！
텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료
[ACL 2026 Main, SAC Highlight] FinSight: Towards Real-World Financial Deep Research. 🎯One ticker, one click, one publication-ready report.
AI-WEBUI: A universal web interface for AI creation, 一款好用的图像、音频、视频AI处理工具
A collection of Kotlin-based examples featuring AI frameworks such as Spring AI, LangChain4j, and more — complete with Kotlin notebooks for hands-on learning.
Build Agentic AI solutions on AWS, using latest OSS Agentic Frameworks.
Repo to accompany Jon Krohn and Ed Donner's workshop on Agentic AI in Action at ODSC East
🦞 ResearchClawBench: Evaluating AI Agents for Automated Research from Re-Discovery to New-Discovery
Finetuning of Falcon-7B LLM using QLoRA on Mental Health Conversational Dataset
🔥🔔prompt-engineering-note🔔🔥
Using multi-agent Deep Q Learning with LSTM cells (DRQN) to train multiple users in cognitive radio to learn to share scarce resource (channels) equally without communication
LangGraph Studio template for creating an agent that does web research to genearte or enrich structured data.
A repository to keep track of all the code that I end up writing for my blog posts.
Molecular dynamics simulations with an LLM agent
Understand and code every important component of RAG architecture
Multi-Agent Financial Research workflow
A tutorial for setting an SQL code generator with the OpenAI API
PTT 八卦版問答中文語料
A mixture of Gen AI cookbook recipes for Gen AI applications.
This is a repository for the course "From Beginner to LLM Developer" by Towards AI.
谷歌推出25天AI Agents课程，作为 2025 年最昂贵圣诞节礼物！
Agentic RAG to achieve human like reasoning
In this blog, we will build a small scale text-to-video model from scratch. We will input a text prompt, and our trained model will generate a video based on that prompt.
Deep Learning / NLP tutorial for Chatbot Developers
Self improving agentic rag pipeline
10-part module to build AI-native apps. From data analysis to multi-agent model harness. For curious learners and serious AI builders.
Ranking LLMs on agentic tasks
This is end to end course on AI Agents and Agentic AI with 15+ AI Agent Projects with real time use cases and industry expertise.
Backend library for conversational AI in biomedicine
A PyTorch implementation of OpenAI's REPTILE algorithm
This repository provides the code for a Reinforcement Learning trading agent with its trading environment that works with both simulated and historical market data. This was inspired by OpenAI Gym framework.
FinSight - Financial Insights at Your Fingertip: FinSight is a cutting-edge AI assistant tailored for portfolio managers, investors, and finance enthusiasts. It streamlines the process of gaining crucial insights and summaries about a company in a user-friendly manner.
LLaMA 3 is one of the most promising open-source model after Mistral, we will recreate it's architecture in a simpler manner.
Implementation of an AI Instructor using LLMs and Langchain
Load local LLMs effortlessly in a Jupyter notebook for testing purposes alongside Langchain or other agents. Contains Oobagooga and KoboldAI versions of the langchain notebooks with examples.
📁 This repository hosts a growing collection of AI blueprint projects that run end-to-end using Jupyter notebooks, MLflow deployments, and Streamlit web apps.🛠️ All projects are built using HP AI Studio with ❤️ If you find this useful, please don’t forget to star the repository ⭐ and support our work 🚀
📄🔍 Parse, extract, and analyze documents with ease 📄🔍
This is a repository for the course "Agentic AI Engineering" by Towards AI.
In LangChain for LLM Application Development, you will gain essential skills in expanding the use cases and capabilities of language models in application development using the LangChain framework.
Examples of AI Multi-Agent Solutions
ChatGPT for lecture slides
Code for Arxiv 2023: Improving Language Model Negociation with Self-Play and In-Context Learning from AI Feedback
MetaOpenFOAM: an LLM-based multi-agent framework for CFD
Developed an AI application using LLM to analyze user resumes and provided the summarization, strengths, weaknesses, suggestions, suitable job titles, and also scraping job details from LinkedIn using Selenium. This application reduces time by 30% and helps candidates tailor their resumes effectively.
A simple and trans-platform agent framework and tutorial
A guided tour on how to use HuggingFace large language models on Macs with Apple Silicon
recommender system tutorial with Python
A Practical Course on Embeddings, RAG, Multimodal Models, and Agents with Amazon Nova.
텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)
Hands-on LLM Engineering including Agentic AI Project
Knowledge graph construction and RAG demo using Diffbot and Neo4j
LLM을 활용한 실전 AI 애플리케이션 개발
A collection of prompts for use with GPT-4 via ChatGPT, OpenAI API w/ Gradio frontend & notebook
Explore LangChain and build powerful chatbots that interact with your own data. Gain insights into document loading, splitting, retrieval, question answering, and more.
[ACL 2025] Code and data for OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis
An LLM Chatbot that dynamically retrieves and processes resumes using RAG to perform resume screening.
Agentic AI 智能体开发实战
Knowledge-graph based chatbot using GPT3 and Neo4j
Learn to build AI agents with Strands framework. Covers LLM integration via Amazon Bedrock/Anthropic, AWS service connections, tool implementation with MCP/A2A protocols, and agent evaluation using LangFuse/RAGAS.
⛓ LangChain 入门指南，配套吴恩达老师deeplearning.ai课程 😎复现语言：Python、NodeJs、Golang
RAG Chatbot with Confluence
PII Masker is an open-source tool for protecting sensitive data by automatically detecting and masking PII using advanced AI, powered by DeBERTa-v3. It provides high-precision detection, scalable performance, and a simple Python API for seamless integration into workflows, ensuring privacy compliance in various industries.
Jarvis from the marvel universe
Free courses offer by CampusX
Supporting repository for the Essential GraphRAG book published by Manning
A breakdown of knowledge graph RAG with diagrams and examples
An ever-growing playground of notebooks showcasing CLIP's impressive zero-shot capabilities
GenAI & LLM usecases and applications
A generative agent implementation for LLaMA based models, derived from langchain's implementation.
Recipes and resources for building, deploying, and fine-tuning generative AI with Fireworks.
Code for the paper: "Large Language Models as Corporate Lobbyists" (2023).
Code release for our NeurIPS 2024 Spotlight paper "GenArtist: Multimodal LLM as an Agent for Unified Image Generation and Editing"
An NVIDIA AI Workbench example project for an Agentic Retrieval Augmented Generation (RAG)
This GitHub repository contains the complete code for building Business-Ready Generative AI Systems (GenAISys) from scratch. It guides you through architecting and implementing advanced AI controllers, intelligent agents, and dynamic RAG frameworks. The projects demonstrate practical applications across various domains.
4th Place Solution for the Kaggle Competition: LMSYS - Chatbot Arena Human Preference Predictions
Automate complex business workflows with our Multi-AI-Agent Systems using crewAI. This framework leverages autonomous, role-specific AI agents to collaboratively perform multi-step tasks, enhancing efficiency and accuracy across various domains. Ideal for applications in resume tailoring, website design, research, customer support, and more.
《LangGraph 实战》配套实验示例代码
A curated and categeorized list of all of the ChatGPT plugins available within ChatGPT plus, includes detailed descriptions and usage docs, as well as unofficial sources of plugins
See how to augment LLMs with real-time data for dynamic, context-aware apps - Rag + Agents + GraphRAG.
Master the art of designing and organizing AI agents. Learn to automate complex, multi-step business processes by creating specialized AI agent teams using the open-source library crewAI.
A Toolkit for Creating and Deploying LangChain Apps
[EMNLP 2024] CryptoTrade: A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading https://aclanthology.org/2024.emnlp-main.63.pdf
⚡️🧪 Fast LLM Tool Calling Experimentation, big and smol
Extract structured data from CUAD contracts using LangChain, build a knowledge graph, and query insights through a LangGraph agent - transforming legal agreements into actionable intelligence.
🪐 🤖 AI Agents with 🔧 MCP tools and 🧰 Skills for JupyterLab — Chat with your Notebook and execute code.
Popular collection of practical Python notebooks for machine learning, deep learning, time series, generative AI, and analytics.
Handling 10M+ docs using RAG with zero hallucinatons
Explore sample applications and tutorials demonstrating the prowess of Amazon Bedrock with Python. Learn to integrate Bedrock with databases, use RAG techniques, and showcase experiments with langchain and streamlit.
Local LLM ReAct Agent with Guidance
Multi-Agent Deep Reinforcement Learning (MA-DRL) Routing Simulator for satellite networks