Jupyter Notebook agents

MindEase is a mental health assistant that combines IoT hardware with AI to provide emotional support. It uses an ESP32 for audio input/output and integrates with AI models and cloud services for natural language understanding and response generation.

A Retrieval-Augmented Generation (RAG) system for medical diagnosis assistance using AI. This system processes medical documents, creates a searchable knowledge base, and provides AI-powered responses to medical questions.

Moroccan Meal Recipes Chatbot Using Rag technique, with Ollama, Openrouter API, Faiss DB and Streamlit

Retrieval-augmented generation over custom document collections - FAISS semantic search paired with LLM reasoning, served via Streamlit

EV fleet analytics: a next-day revenue prediction pipeline (Ridge / Random Forest / XGBoost over leakage-safe lag features) plus a LangChain SQL-agent chat assistant with input/output guardrails. Walkthrough notebooks, and a production-readiness design doc.

An NLP-powered, Agentic AI approach to Perfumerie. Create custom fragrances using poetry.

MLHub is a collection of impactful machine learning projects designed for learners and enthusiasts in the field of data science. Our goal is to provide accessible and hands-on experiences that help individuals understand the fundamentals of machine learning and data analysis.

The Small Language Model Chatbot is a Python-based interactive chatbot built using Hugging Face's distilGPT-2 model. The chatbot is fun, lightweight, and ideal for demonstrating the capabilities of small-scale language models. It includes interactive widgets for user input and a visual element that tracks and displays .

Flujo reproducible en Google Colab y como script Python para minería de “fichas” de jurisprudencia: limpieza y normalización de textos, generación de embeddings con OpenAI (main) y BERT (branch), agrupación mediante clustering, perfilado de clusters y generación automatizada de insights vía llamadas a LLM.

RAG-powered document chatbot using Llama 3.2 with hybrid retrieval, conversational history, and Gradio interface.

Autonomous Red vs. Blue AI Fraud Simulation & Defense System for UPI & Digital Payments. Features LLM-driven zero-day attack generation (F3 Taxonomy), PyTorch Bidirectional LSTM + LightGBM + GraphSAGE multi-model defense, and real-time SIEM dashboard.

Curso de desarrollo de Agentes de IA Generativa para developers.

A hands-on, from-scratch repository for learning and building multi-agent agentic AI systems. Explore Agentic-Rag, MUlti-agent RAG, ReAct, reflection, planning, human-in-the-loop, multi-agent , hierarchical , and RAG patterns using LangGraph, Python, and Jupyter notebooks.

Vectara HHEM model to reduce Hallucination in RAG models

Controlled framework for studying where recovery should begin when a multi-step LLM agent fails — uncertainty-guided trajectory repair vs. full restart in ReAct-style agents.

CityBehavEx is a scalable, empirically validated, LLM-assisted urban behavior simulation platform. It generates synthetic city-scale mobility trajectories and lets users inspect, replay, debug, and evaluate them against observed mobility, time-use, semantic, transport, and social-network patterns.

A 10-day beginner LangChain bootcamp that runs entirely on free AI APIs. Ten notebooks and ten slide decks, from your first model call to a RAG assistant that cites real 10-K filings. No paid account, no GPU.

An AI-Powered Review Platform That Gathers Information Through Conversations

Design proteins simply with your natural language description

A cookbook of large language models (llms) design patterns.

Agentic Workflows with Generative AI: Building AI Agents using CrewAI.

Documentation for the AI Agents using Small Language Models tutorial @ MICAI 2025

FactFlow, An AI-powered media ecosystem for fact verification, article generation, and press simulation.

This project will develop a NEPSE chatbot using an open-source LLM, incorporating sentence transformers, vector database and reranking.

Implement RAG using LangChain and HuggingFace embedding models

Repositório criado para armazenar os códigos, atividades e desafios do curso de Python da Asimov Academy

This AI customer support agent uses LangGraph and LangChain for query categorization, sentiment analysis, and smart escalation. Integrated with Groq's LLaMA 3.3 70B model, it streamlines workflows and ensures high-quality, consistent interactions.

Mental health support chatbot built with Google's T5-Large, fine-tuned on established psychological practices to deliver empathetic, research-backed guidance.

Production RAG chatbot serving 3,232 Q&As with <3s latency and ~95% accuracy using LangChain and ChromaDB

This project is an Ecommerce Chatbot developed to enhance customer interaction and assist with product recommendations, order queries, and FAQs. The chatbot is built using Python and Flask, integrated with LangChain for natural language processing (NLP), and Astra DB as a vector store for storing and retrieving product-related data.

This project demonstrates how to extract structured information from PDF documents using a combination of Langchain, OpenAI models, and the DocLing library. It provides a framework for parsing PDFs and leveraging LLMs to identify and format key data points.

Aspect Based Sentiment Analysis (ABSA) of Customer Reviews

IntelliShelf, a full-stack AI-powered demo platform that combines Computer Vision, LLMs, and RAG to deliver a futuristic musical instrument e-commerce experience. From automated defect detection to LLM-generated descriptions and FAQ-based chatbot assistance, everything is built with modularity and scalability in mind.

Offline AI for emergencies with local context and cited answers from community Knowledge Packs.

论文自动化分析工具

A comprehensive library for Retrieval-Augmented Generation (RAG), featuring both basic and advanced RAG implementations. Built with LangChain for sophisticated RAG pipelines and LlamaIndex for a lightweight, simple RAG setup. Ideal for developers exploring knowledge retrieval and augmentation with LLMs. 🚀

Stock Analysis Tool Agent

Chatbot zu den Wahlprogrammen zur BTW 2025

Build an AI Agent with long term memory using LangGraph

This repo contains codes for RAG using docling on colab notebook with langchain, milvus, huggingface embedding model and LLM

This repo is the comprehensive guide, covering Langchain integration with Huggingface models. Learn to build, deploy, and optimize cutting-edge AI applications through hands-on projects and real-world examples.

A notebook to ask GPT-3.5-Turbo questions about a PDF document while keeping track of the previous questions (memory).

Architect helps you quickly prototype and validate your ideas for hackathon projects.

Centrale-NLP-Public-Ressources : This repository is about the NLP class 2023/2024

A collection of Google Colab notebooks featuring experiments, assignments, and projects in Generative and Agentic AI, serving as a resource for learning, collaboration, and research exploration.

A Contextual Retrieval RAG application to chat with a PDF or Text file

My LangGraph-built AI assistant that provides conversational access to my professional portfolio. It leverages tool-calling to dynamically fetch and present data from my GitHub, answer questions about my skills, and discuss my project work.

GEERS AI 2024

Repo from AWS GenAI workshop—build cost-efficient agentic LLM systems using SageMaker, Bedrock, and Strands.

CV/Resume to Portfolio Website Generator

This project leverages the crewAI AI agents to create a sophisticated support system. These agents provide top-notch support and quality assurance for customer inquiries.

Automated resume generation based on job link using CrewAi

This project demonstrates the use of CrewAI's multi-agent system to manage various aspects of event planning and execution.

🛠️ Explore hands-on notebooks to master LLMs, RAG, LangChain, CrewAI, and multi-agent systems for effective AI learning and experimentation.

AutoGen Multi-agent Conversation and Recall using Memori

A step-by-step tutorial on building an AI Agent system to recommend courses using AutoGen and LLaMA. Learn how to create autonomous agents that analyze CVs, extract key skills, and suggest personalized courses for skill development.

Labs for Prompt Engineering, AutoGen, AI Agents, Vibe Coding, GitHub Copilot, AKS, RAG, and Azure AI Search.

Jupyter Notebooks exploring autogen

📄 Preprint submitted to Artificial Intelligence in Medicine 🏥 - "MediCARE: Medical Collaborative Agents REasoning over Interpretable Heterogeneous Graphs" 💊📊 - University of Naples "Federico II" 🎓

Generative question answering bot using custom data based on flan/T5 model

Simple introduction to RAG with some code

Skin Cancer & Diseases Classification CNN Model for Intel Gen AI Hackathon - Cognizance

🦙 Llama - Welcome to the Llama-API repository! This repository is dedicated to testing the llamaapi Python library to access LlamaAPI. Whether you're a developer, researcher, or just a tech enthusiast, you'll find valuable resources and examples here.

An AI based chatbot built for SaaS Entrepreneurs

Generating stock reports using OpenAI GPT-4, retrieving recent finance news in Interactive Brokers, and accessing indexed data using LLama index for GPT-4 analysis.

Creating a chat application that can handle multiple files using LlamaIndex, OpenAI, and Streamlit involves several steps

🤗Archive of follow-along notebooks and demos, with additional trials.

MAPPO experiments for unsignalized intersections using SUMO and Gym.

shepherd model

the basics of multi-agent systems in python

I’ve completed the Nodebook Data Science & Machine Learning program, where I worked on real-world projects using Python, Machine Learning, Deep Learning, and Large Language Models (LLMs). As part of my learning journey, I also explored Generative AI and AI Agents, gaining hands-on experience in building smart systems that can think, plan, and act.

A local agent RAG implementation using Gemma3 via Ollama

A comprehensive implementation of the HuggingFace and Langchain-academy Agentic AI course. Explore LLM-powered agents using transformers-agents, custom tools, multi-step reasoning, and real-world deployment workflows across Hugging Face's agent framework and inference APIs.

AI Agent development using Google's Agent Development Kit (ADK) - Building intelligent agents with Gemini models and Google Search integration

Bachelor Thesis of IU International University, Germany 🇩🇪

Build Your AI Agent with LangGraph from Zero to Hero - Course Material

Simulating creative government policy generation in agent-based economic models using LLMs.

Antonio Gulli 所著《Agentic Design Patterns》一书的中英文 PDF 全文和相应代码。

A COGITO NTNU project creating an Agentic AI system that predicts stocks and gives recommendations.

4th.GRC — A policy-driven Agentic AI governance and orchestration platform integrating PolicyEngine, Skill Registry, RAG Safety Envelopes, Constraint Evaluators, and evidence-based compliance automation.

Frisque (Faux risque) - AI Powered due diligence platform

A structured, end-to-end knowledge base for building modern AI systems — from foundations (Math, Python, ML/DL) to production (LLMs, RAG, Agents, Deployment).

An AI agent to make resume

Layered memory system for LLM agents using semantic, episodic, and procedural memory with Qdrant-backed long-term storage.

This repository contains LangGraph tutorial code for building complex LLM-powered applications. It showcases practical examples of using LangGraph to manage multi-step workflows and stateful logic with language models.

Das Notebook Repository für die EFK Januar Schulung 2025 zu Künstlicher Intelligenz.

Hands-on practice with ML algorithms, Agentic AI architectures, and System Design concepts. Implemented primarily in Python and C++

A Python framework for building, deploying, and managing AI-powered assistants tailored for federal data analysis, budget execution, and data science.

A powerful AI agent that generates hilarious memes using open source HuggingFace models.

Training data and notebooks for Wrench — purpose-built agentic models for tool calling

ArthaBodh.ai is an AI-powered chatbot that provides Nepali-language answers to queries about Nepal’s Budget 2082/83. It uses document embeddings, vector search (FAISS), and a fine-tuned LLM to retrieve context from budget documents and generate accurate, context-aware responses for ministry allocations, policy priorities, and social programs.

A virtual agent for plant control room that takes in voice-based queries to analyze process data.

Benchmark tests, experiments and use cases of Moorche

Chatbot specialized in the Department of Computer Engineering, Chulalongkorn University - Final Project in 2110572 Natural Language Processing Systems 2024/2 course

Built real-world LLM apps using LangChain, including an AI Code Tutor, CV Assistant, and smart chatbots powered by RAG and agentic workflows. Hands-on projects showcasing practical use of Generative AI.

Example code for RAG search

This repository showcases a collection of innovative projects by Charan H U, focusing on cutting-edge technologies such as facial emotion recognition, fitness tracking, and multi-model applications. Each project demonstrates practical implementations of advanced AI/ML techniques, making it a valuable resource for developers and researchers.

My implementation for a kaggle competition: https://www.kaggle.com/competitions/WattBot2025

An Advanced Retrieval-Augmented Generation (RAG) system powered by a Knowledge Graph + Neo4j + Cypher-based retrieval + Review loop architecture.

A RAG based chatbot that is able to respond with structured JSON format. The output will be always in a JSON format with expected key, value pairs.