Jupyter Notebook agents

Mastering NLP From Foundations to Agents, Second Edition, by Packt Publishing

A comprehensive collection of Generative AI projects and experiments, covering RAG, chatbots, LLM fine-tuning, and more.

Examples of agent apps built with different tools — powered by Google's Agent Development Kit (ADK) and Nebius Token Factory.

这个仓库主要用于记录以MetaGPT为基础的Agent开发理论学习记录

A Retrieval Augmented Generation (RAG) system using LangChain, Ollama, Chroma DB and Gemma 7B model.

songGPT is an experimental open-source project that explores the potential of Language Models, specifically ChatGPT, in generating original and customizable musical compositions. Using Python, the output is automatically converted to MIDI and audio files, enabling users to create unique and diverse music pieces.

Implementation of 12 AI agents evaluation techniques

Agent-based LLM modeling of mechanics problems

A modular and AI-powered appointment booking agent designed to streamline scheduling for businesses, starting with dental clinics. Built with LangGraph, Composio, and Bland.com, it integrates Google Calendar and Gmail to manage appointments, send confirmations, and handle voice interactions.

Free AI/ML course with 950+ Jupyter notebooks — Python, deep learning, LLMs, RAG, agents, prompt engineering, fine-tuning, MLOps

A collection of AWS Korea Startup SA team materials for hands-on labs.

The OS AI engineering and monitoring agent. 🦸‍♀️ Oversight and compliance copilot for trustworthy AI.

Feeling Depressed? Feeling Suicidal? Want to give up? Try Depression-Chatbot!

iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning

# ParlAI Agent examples with PyTorch, Chainer and TensorFlow

Recreation of the "Optimal Replacement of GMC Bus Engines" paper by J. Rust, describing a single-agent dynamic optimization model.

Improving langchain knowledge graphs using baml

Multi agent system for drug discovery tasks

AAAI 2025: Anywhere: A Multi-Agent Framework for User-Guided, Reliable, and Diverse Foreground-Conditioned Image Generation

Code for "PAKTON: A Multi-Agent Framework for Question Answering in Long Legal Agreements", accepted for Oral Presentation at the Main Conference of EMNLP 2025. Paper available at: https://arxiv.org/abs/2506.00608

Layered guardrails to make agentic AI safer and more reliable.

This is a repo for the LinkedIn Learning course: Agentic AI: Build Your First Agentic AI System

RadAgent: A tool-using AI agent for stepwise interpretation of chest computed tomography

329 agent skills (Cursor, Claude Code & Codex), 5,380 OpenClaw skills, 201 ML notebooks, 8 textbooks, 82 research papers, 18 industry reports for PMs, Designers & Developers.

Learn AI, ML, and NLP with interactive Jupyter Notebook tutorials.

Learn How To Observe, Manage, and Scale, Agentic AI Apps Using Azure AI Foundry - with this hands-on workshop

Multimodal RAG with PyMuPDF

This is samples for Azure AI Agent Service

Demo of simple wine RAG-based assistance with function calling and multiagent testing

I recently attended the Geekbang "Large Language Models Application Development Practice Camp", where I learned about the application development of Large Language Models. Below is a summary of the after-class exercises that I participated in the camp.

Interactive notes (Jupyter Notebooks) for building AI-powered applications

A Pytorch Implementation of Multi Agent Soft Actor Critic

Chemist AI Agent for Rational Inverse Design of Materials

Learn DSPy's core abstractions while building a deep research agent.

InvAgent: A LLM-based Multi-Agent System for Inventory Management in Supply Chains

AI-powered multi-agent medical assistant with a deterministic safety layer — crisis detection, refused-topic hard-stops, dosage grounding, and post-generation diagnosis verification running before and after every LLM call, backed by parallel RAG, Wikipedia, and Tavily retrieval with symptom and drug-question routing.

This repository contains the Python implementation of the agent-based model used to model the spread of COVID-19.

AI-Assisted Software Development with GitHub Copilot and ChatGPT

Search and indexing your own Google Drive Files using GPT3, LangChain, and Python

Developed a sophisticated machine learning model capable of generating diverse interview questions aligned with specific topics, ensuring depth of conversation. Integrated advanced Natural Language Processing (NLP) algorithms to analyse spoken responses, identifying grammatical errors & offering accurate corrections after the interview.

Creating 'deep agents' to encourage LLM's to complete long horizon tasks.

All the code files shared in the Vizuara AI Agents 10 day bootcamp

LangGraph Typescript Agents Notebooks: email, human in the loop, memory

Workshop series teaching the AI Engineering Lifecycle using LangChain, LangGraph, and LangSmith

Train an agent to generate high quality summaries

The Industry‑Oriented AI Engineering Program blends theory with hands‑on projects. Students gain expertise in open‑source LLMs, prompt engineering, fine‑tuning, and agent development, preparing for impactful careers in healthcare AI, autonomous systems, and innovation.

Creating a chatbot for your e-commerce business is now easier than ever with OpenAI, bypassing complex deep learning algorithms

Building an AWS Solution Architect Agent with Generative AI

Start building practical applications that allow you to interact with data using LangChain and LLMs.

Chat with your PDF files using LlamaIndex, Astra DB (Apache Cassandra), and Gradient's open-source models, including LLama2 and Streamlit, all designed for seamless interaction with PDF files.

GPT-powered solution for extracting and modifying data in tables using natural language commands.

This demo repository illustrates how to use Python to scrape news articles from Google based on a given keyword. The scraped articles are then processed by Azure OpenAI Service (AOAI)'s GPT-3 model, which generates concise summaries of the main points. The summaries are then formatted and sent via email using MailJet API.

Langchain一步一步实现AI 算命先生和数字人

Repository cập nhật đầy đủ và toàn diện nhất về tài liệu hướng dẫn sử dụng và tham chiếu hàm, hỗ trợ tốt nhất cho AI Agent

Multi-Agent Determinantal Q-Learning

Langchain examples, mainly Google Colab notebooks, but could be others.

ICLR 2026: Agent-X Evaluating Deep Multimodal Reasoning in Vision-Centric Agentic Tasks

Examples and guides for using Swarms Framework

Enhancing Recommendation Systems with Large Language Models (RAG - LangChain - OpenAI)

🤖 All about Machine Learning and Deep Learning and Agentic AI • Data → Model → Predict

AI agents + toolkits for scientific knowledge

A Step-by-Step Implementation of RAPTOR based RAG implementation

A basic application using langchain, streamlit, and large language models to build a system for Retrieval-Augmented Generation (RAG) based on documents, also includes how to use Groq and deploy your own applications.

From RAG to Agents: Building Smart AI Assistants

329 agent skills (Cursor, Claude Code & Codex), 5,380 OpenClaw skills, 201 ML notebooks, 51 research papers, 16 industry reports for PMs, Designers & Developers.

An AI-powered interactive web application built with Streamlit that predicts whether a candidate will get placed in a job (or admitted) based on academic performance and other features.

This repository will guide you to create ChatGPT like chatbot using OpenAI's GPT 3.5 model

Practical step-by-step LangChain guides

This is an implementation of the paper "Coordinated Multi Agent Imitation Learning", or the Sloan version "Data-Driven Ghosting using Deep Imitation Learning" using Tensorflow

How to stream GPT-4, ChatGPT & GPT-3.5 model responses (gpt-4, gpt-3.5-turbo & text-davinci-003)?

A simplified code generating agent for LLMs

Local RAG agent with LLaMA3

Data and materials to reproduce Bloomberg's investigation into racial and gender bias in OpenAI's GPT

llm agent for drug discovery

Learning Azure AI with APIM, Semantic Kernel and LangChain.

Code of LVAgent: Long Video Understanding by Multi-Round Dynamical Collaboration of MLLM Agents

Code for our paper LLaMAR: LM-based Long-Horizon Planner for Multi-Agent Robotics

My personal learning of LLM Agents

A guide about how to use GPTQ models with langchain

Conversational AI based on Rasa

Important Note fastrl version 2 is being developed at fastrl. Note the link in the readme

LangChain, Llama2-Chat, and zero- and few-shot prompting are used to generate synthetic datasets for IR and RAG system evaluation

MovieGPT: A RAG, Gen AI application for Movie Recommendations

Building production-ready Retrieval-Augmented Generation (RAG) systems with LangGraph orchestration and local Ollama models for privacy-preserving AI applications.

An 18 notebook course that isolates and measures each component of agentic loop engineering on real, industry standard software datasets.