Jupyter Notebook agents

Docker Dev Environments for AI, CV and Robotics Courses at NJIT and NYU

Examples of RAG using LangChain with local LLMs - Mixtral 8x7B, Llama 2, Mistral 7B, Orca 2, Phi-2, Neural 7B

Movie Recommendation Chatbot provides information about a movie like plot, genre, revenue, budget, imdb rating, imdb links, etc. The model was trained with Kaggle’s movies metadata dataset. To give a recommendation of similar movies, Cosine Similarity and TFID vectorizer were used. Slack API was used to provide a Front End for the chatbot. IBM Watson was used to link the Python code for Natural Language Processing with the front end hosted on Slack API. Libraries like nltk, sklearn, pandas and nlp were used to perform Natural Language Processing and cater to user queries and responses.

Multi-turn open-domain Arabic chatbot with a wide set of features.

In ChatGPT Prompt Engineering for Developers, you will learn how to use a large language model (LLM) to quickly build new and powerful applications.

A Reverse Engineering Assistant leveraging Retrieval-Augmented Generation (RAG) and the LLaMA-3.1-8B-Instant Large Language Model (LLM). This tool is designed to revolutionize reverse engineering tasks by combining machine learning with retrieval-based systems.

A new novel multi-modality (Vision) RAG architecture

This is the official implementation of "Optimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Learning with Graph Neural Network" (ITSC 2021)

A demonstration of hybrid search with reranking using Qdrant and BGE-M3 model. A showcase of dense and sparse retrieval combined with ColBERT reranking for optimal search results

Code repository for Manning's Build an AI Agent From Scratch

Reference architecture for LLM-based applications on Google Cloud Platform with Redis Enterprise as a high-performance data layer.

With AI Core as a proxy for Azure OpenAI Services, we are able to perform prompt engineering, e.g. to add more context in the form of (SAP) documents or to perform input validation. This repo serves as a starting point for such a raw proxy and shows how SAP BTP, AI Core can be consumed and exposed via a CAP API.

Code for ICLR'24 workshop ME-FoMo-How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation

🔎 A deep-dive into HyDE for Advanced LLM RAG + 💡 Introducing AutoHyDE, a semi-supervised framework to improve the effectiveness, coverage and applicability of HyDE

텐서플로우2로 구현한 트랜스포머 챗봇 구현체 (TensorFlow implementation of 'Attention Is All You Need')

Library for modeling, simulation, and verification of interacting autonomous agents

Make open-weight LLM agents play the game "Among Us", and study how the models learn and express lying and deception in the game.

Crash course tutorial for crew ai framework

A Human-in-the-Loop Workflow for Scientific Schema Mining with Large Language Models

UAVBench: An Open Benchmark Dataset for Autonomous and Agentic AI UAV Systems via LLM-Generated Flight Scenarios

A complete LangGraph multi-agent system demo using SQL tools, Tavily search, MCP Toolbox, and OpenRouter models — with reproducible notebooks and a full supervisor-led agent workflow.

Multi-Agent System built with Google ADK and OpenRouter models, coordinating specialist agents to query PostgreSQL (via MCP Toolbox) and Data Commons for HDB resale data and global statistics.

ClinicalAgent: Clinical Trial Multi-Agent System with Large Language Model-based Reasoning. BCB '24: Proceedings of the 15th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics.

Cloak, Honey, Trap: Proactive Defenses Against LLM Agents

Build AI, agents and workflows with RAG, MCP, harnesses, & multi-agent orchestration in a 3-week cohort

With AI Core as a proxy for Azure OpenAI Services, we are able to perform prompt engineering, e.g. to add more context in the form of (SAP) documents or to perform input validation. This repo serves as a starting point for such a raw proxy and shows how SAP BTP, AI Core can be consumed and exposed via a CAP API.

A beginner-friendly, notebook-first educational project: building LLM Agent Execution Harnesses from scratch with runtime observability. / 面向零基础的 Notebook 教学向项目：从零构建大模型 Agent Execution Harnesses (执行基础设施)与运行时可观测性。

OpenAI gym environments for training RL Agents on @OpenBB-finance Data

It is a seq2seq encoder decoder chatbot using keras and with attention

Chat to your Database GenAI Chatbot

Chatbot based on Rasa Framework

🤖 PowerShell Copilot and helpful assistant for SQL Server databases and dbatools. Mostly, though, a teaching tool.

A collection of experimental Retrieval Augmented Generation (RAG) Techniques to elevate your pipelines, all with code and intuitive explanations

An end-to-end pipeline to optimize and host LLM for 100K parallel queries

Reference Implementations for the RAG bootcamp

这是为希望学习FAISS向量数据库的同学准备的全面入门指导，帮助你快速建立相关概念，更好地阅读官方文档。

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

An agentic LLM-powered knowledge assistant that enhances RAG capabilities through automated entity extraction, structured data analysis, and SQL-based reasoning to deliver accurate answers for complex, multi-step, and analytical queries.

Artificial Intelligent ChatBot using Tensorflow and NLP that understand the Context and Intent of Human Language.

Tailored cloud solutions based on use case, cost, and preferences using natural language with Agentic AI to research, design, price, diagram, and report an optimized result.

Evaluating Safety of Autonomous Agents in Mobile Device Control (AAAI 2026 AI Alignment Track)

一个基于 LangGraph 和 LangSmith 构建的多智能体AI系统

Build use cases with VideoDB

Revolutionary AI ETL with Medallion Architecture: Zero-touch autonomous & HITL pipelines on Databricks

AI-powered chatbot with GPT-3.5 Turbo model for document analysis, modification, and image insertion. Backend uses Django REST API with MySQL and Firestore, and TensorFlow for unsupervised learning. Frontend is built with React, Vite, and JavaScript, featuring responsive design and two color modes.

ChatGPT Prompt Engineering for Developers.

无需预算，使用你的个人数据克隆自己——赛博飞升！Clone yourself by tuning a LLM using your own data.

This repository will guide you to create your Images via Stable Diffusion using a Smart Virtual Assistant like Google Assistant using Open AI's ChatGPT, Whisper. The entire solution is created using Python & Gradio.

A demo application to support my tutorial on building applications with GPT-3.

Application of Retrieval-Augmented Reasoning on a domain-specific body of knowledge

This repository benchmark Ntropy API against different Large Language Models (OpenAI ChatGPT and LLAMA finetuned models). It also contains an easy to use wrapper to enable using the LLMs to perform transaction enrichment. Llama adapters were open sourced and are available on huggingface hub.

Tutorials and exercises are done in the course 'Building RAG Agents with LLM'

A Python Mixin to help convert any LangChain Chat Model into a Tool Calling LLM

OpenAI MuseNet API Colab Notebook

Tutor CoPilot: A Human-AI Approach for Scaling Real-Time Expertise

A minimal working example of a Human-in-the-Loop (HITL) agent using LangGraph and FastAPI. This demo shows how to pause a LangGraph agent, wait for user input from a frontend, and resume execution — using embedded mode and a simple React UI.

WORKBank Database derived from large-scale audit of worker desire and technological capability of AI agents for work.

Multimodal-LLM Based AI Agent for Schematic Generation of Analog Circuit

A collection of AI tutorials from Dr. Ashish Bamania

A collection of Python notebooks with tutorials for the LangChain Library.

Easy-to-follow Pytorch tutorial Notebook for Multi-Agent-Diverse-Generative-Adversarial-Networks

Neural parameter calibration for multi-agent models. Uses neural networks to estimate marginal densities on parameters and networks

Enhancing Medical Question-Answering System through Advanced Information Retrieval Strategies

The official repository for "CartoAgent: a multimodal large language model-powered multi-agent cartographic framework for map style transfer and evaluation".

[ICLR 2026] Fast-Slow Toolpath Agent with Subroutine Mining for Efficient Multi-turn Image Editing

Financial CrewAI Agents (LangChain, YF Tools, Ai Crew, Groq Inference)

Build AI-powered insurance claims processing with Microsoft Foundry, multi-agent workflows, and MCP

Learn about the fundamentals of LangGraph through building an ambient email agent

45+ production-ready tutorials on data science, MLOps, and AI tools. All code is executable and adaptable for real projects.

A comprehensive, step-by-step guide and code repository for building autonomous AI agents from scratch with zero framework dependencies.

Build and deploy powerful AI agents using LangChain, Langflow, and GPT-4 – from beginner to advanced.

Study for Natural Language Processing & Deep Learning Framework

Modular full-stack ML project leveraging Groq API, Streamlit, Supabase, JSON, SciPy, SciKit-Learn, Plotly & EmailJS, alongside libraries - NumPy, Pandas, Utils, OS, Base64, Re, Pillow & DateTime.

ClinicalAgent: Clinical Trial Multi-Agent System with Large Language Model-based Reasoning. BCB '24: Proceedings of the 15th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics.

A Multi-Modal AI Copilot for Single-Cell Analysis with Instruction Following

A tutorial for building autonomous agents: with LangChain and from scratch

Multi-agent environments library for simulating classic vehicle routing problems.

Cooperative Energy Management and Eco-driving of Plug-in Hybrid Electric Vehicle via Multi-agent Reinforcement Learning

Local Startup Advisor Chatbot

Agentic LLM CTF to test prompt injection attacks and preventions

🚀 Welcome to AskSage Open Source Repo, a community aimed at providing code 🧑‍💻, documentation📝, and proof-of-concept projects for interacting with the AskSage API. This repository serves as an unofficial resource for paid subscribers seeking practical guidance on utilizing the API. If you have any questions email us [email protected]

LLM powered agents for scanning vulnerabilities on any website - Llama 3 8B, Groq, Selenium, CrewAI, Exa AI

[KDD 2023] Ball Trajectory Inference from Multi-Agent Sports Contexts Using Set Transformer and Hierarchical Bi-LSTM

🤖 LLM Engineering Roadmap — Complete Developer Guide

An AI developer that writes LangChain Expression Language (LCEL).

Simple web browsing for your Langchain agent.

RAG - Add Your Own Data to LLMs Using LangChain & LlamaIndex

Learn how to talk to Django as any human should -- e.g. Semantic Search and Text-to-SQL.

Video Voiceover with gpt-4o-mini

The official code of our paper “RAG-Critic: Leveraging Automated Critic-Guided Agentic Workflow for Retrieval Augmented Generation”

Write tweets with AI Agents (CrewAI) and LLMs (Llama 3, GPT-4o)

Build agents and workflows with RAG, MCP, harnesses, & multi-agent orchestration in a 3-week cohort

The framework to take LLMs out of the box. Learn to use LangChain to call LLMs into new environments, and use memories, chains, and agents to take on new and complex tasks.

Leverage modern open-source tools to create better web scraping workflows.