Jupyter Notebook agents

Training & Implementation of chatbots leveraging GPT-like architecture with the aitextgen package to enable dynamic conversations.

ChatBard: An Intelligent Customer Service Center App Using PaLM2 APIs

A tutorial showing how to train RL agents for webgames, in this case, Chrome Dino

Train reinforcement learning agent using ML-Agents with Google Colab.

LLM Dynamic Planner - Combining LLM with PDDL Planners to solve an embodied task

Source code for the IBM Granite AI Model Workshop

Agentic AI framework built using LangGraph and Multi-Agent Control Plane (MCP) for building structured, goal-driven multi-agent systems.

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

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

Sample scripts to use with Agentic Document Extraction (ADE).

Using LangChain's SQL Database Chain and Agent with various LLMs to perform Natural Language Queries (NLQ) of an Amazon RDS for PostgreSQL database.

Pull high-quality, efficient embeddings for PubMed, arXiv and Wikipedia from Huggingface and use for local LLM inference/Retrieval Augmented Generation (RAG)

ChemClaw — The first chemistry-native AI agent skill library.

UAV-based Cellular-Communication: Multi-Agent Deep Reinforcement Learning for Interference Management

Personal Health Insights Agent (PHIA)

Function Calling Mistral 7B. Learn how to make functions call for open source LLMs.

This repository contains the code for the LangGraph course: "LangGraph in Action - Building Autonomous AI Agents"

LLM as Interpreter for Natural Language Programming, Pseudo-code Programming and Flow Programming of AI Agents

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.

Implementation of 12 AI agents evaluation techniques

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.

Layered guardrails to make agentic AI safer and more reliable.

🤖 LLM Engineering Roadmap — Complete Developer Guide

Everything Anthropic ships for builders, archived and updated 4× daily. 3,900+ files. 12 sources. API, Claude Code, MCP, docs, cookbooks, skills, plugins.

Building AI Agents for Finance, published by Packt

Local LLM Agent with Langchain

Fine-tune Llama3 model to support function calling

Concepts and examples on using and training LLMs

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

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

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

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.

Multi agent system for drug discovery tasks

Agentic AI Promer

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.

# 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

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.

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

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.

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

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

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

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

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

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

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

A Pytorch Implementation of Multi Agent Soft Actor Critic

AI-Assisted Software Development with GitHub Copilot and ChatGPT

llm agent for drug discovery

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

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

Langchain一步一步实现AI 算命先生和数字人

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

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

Train an agent to generate high quality summaries

Cloak, Honey, Trap: Proactive Defenses Against LLM Agents

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.

Construire un LLM de zéro, à la main et en français : les notebooks des 22 chapitres, des tenseurs jusqu'aux agents IA. Le livre et ses visualisations interactives : llmdezero.com

Hands-on examples for LLM application development, including agents, RAG, MCP, structured output, and Text-to-SQL.

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.

Multi-Agent Determinantal Q-Learning

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

AI agents + toolkits for scientific knowledge

GenAI on Google Cloud: Enterprise Generative AI Systems and Agents

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.

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