Jupyter Notebook agents

Curated materials for different machine learning related summer schools

Use AI to personify books, so that you can talk to them 🙊

How to build a chat assistant with Amazon Bedrock using LLMs, Embeddings model, and Knowledge Bases for Amazon Bedrock.

In this repository, you will discover how Streamlit, a Python framework for developing interactive data applications, can work seamlessly with the Open-Source Embedding Model ("sentence-transformers/all-MiniLM-L6-v2") in Hugging Face and Llama 2 🦙🦙 model.

(ICRA 2025) Inverse Mixed Strategy Games with Generative Trajectory Models

a collection of advanced reinforcement learning (rl) agents and implementations, including dqn, actor-critic, ppo, dpo, and more. provides reference code, algorithmic insights, and setups for research, experimentation, and benchmarking of state-of-the-art rl methods.

This project about AI Chatbot Kampus Merdeka to help student or Indonesian people know about Kampus Merdeka program from KEMENDIKBUDRISTEK (Kementerian Pendidikan, Kebudayaan, Riset Dan Teknologi).

This repository is a comprehensive project that leverages the XLM-Roberta model for intent detection. This repository is a valuable resource for developers looking to build and fine-tune intent detection models based on state-of-the-art techniques.

Fine tuned llama 3 models for context based question answering in bengali language.

Generating diverse and realistic datasets for computer vision training using AI.

Colabs for text prompt steered image generators

A collection of example projects demonstrating the capabilities of Fenic

BTK için hazırlanan Erişim Destekli Üretim (RAG) Tabanlı Sohbet Botu Eğitimi Belgeleri

🦛 Chonkie's recipes for Agents, Context Engineering, and more! 🧑‍🍳 Chonkie knows how to cook (and it cooks well!)

Colabs for text prompt steered image generators

🖼️ Workshop: Build a multimodal AI agent with Haystack & GPT-4o — featuring image understanding, document retrieval, conversational memory, and human-in-the-loop safety controls

Azure AI Services Lab & AI-102 Study

🤖 AI Assistant fine-tuned to provide support for coding and design questions based on the latest trends in the industry.

Welcome to LLM-Utility-Cookbook! Here you'll find tools to make LLMs easy: voice to text, text to voice, document scan to text, prompt management, and more. Jump in, make your work easier

Perform RAG (Retrieval-Augmented Generation) from your PDFs using this Colab notebook! Powered by Llama 2

In this project, I extend the implementation of a Tweet/Sentence Sentiment Classification to a "Depression Assistant Chatbot". This software asks the users how they are feeling and if what they write expresses sadness of anger then they are greeted with jokes until they feel better.

Chatbot in spanish using differents model: Seq2Seq model with Luong attention and transformer

This repository is a collection of resources, code-books and illustrations on MediBo project - a medical chatbot capstone project by a group of Columbia University students

Robots developed in Python

Chatbot using Seq2Seq model and Attention

Automatize local data analysis with team of tool-using GPT agents

This project aims to perform sentiment analysis on tweets related to ChatGPT, a popular language model developed by OpenAI. The dataset used for training and testing consists of 219,293 tweets collected over a month. Each tweet is classified as positive ("good"), negative ("bad"), or ("neutral").

GPT Table Semantic Parsing with complex & non-intuitive structure.

A Question Generation Application leveraging RAG and Weaviate vector store to be able to retrieve relative contexts and generate a more useful answer-aware questions

Converting unstructured text to knowledge graph using spacy LLM and ne04j.

Exploring the Intersection of Large Language Models and Agent-Based Modeling via Prompt Engineering

A comprehensive AI & ML project portfolio from the University of Texas at Austin PG Program, demonstrating real-world data science and machine learning solutions.

It includes the concepts for RAG application from basics till advanced using LangChain library.

Evolving LangChain agent architectures using the Quality-Diversity (QD) algorithm.

In this repository, you will find an example code for creating an interactive chat experience that allows you to ask questions about your CSV data with chart visualization capabilities.

BipedalWalker - AI teaching itself to walk

A simple Retrieval-Augmented Generation (RAG) project built with LangChain and Streamlit. Upload documents (PDF/TXT) and interact with them using natural language questions powered by embeddings and vector search.

[USENIX Security 2025] Topic-FlipRAG: Topic-Orientated Adversarial Opinion Manipulation Attacks to Retrieval-Augmented Generation Models

Multi-agent Claude Code workflow for writing an empirical economics Master thesis — 17 agents, 8 rules, 11 skills, RAG integration

How to stop AI agents from hallucinating and wasting tokens. Working demos: Graph-RAG, semantic tool selection, neurosymbolic guardrails, DebounceHook — built with Strands Agents

RAG-enhanced LLaMa-like transformer neural network based LLM for assistance on programming languages/frameworks' documentations.

UnOfficial Gradio Repo for ICML 2024 paper "Executable Code Actions Elicit Better LLM Agents" by Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji.

[ACL 2026] Official implementation of "ZARA: Training-Free Motion Time-Series Reasoning via Evidence-Grounded LLM Agents

Exploring advanced prompting tools to query SQL database with multiple tables in natural language using LLMs

Information extraction from unstructured text to build a knowledge graph using techniques from traditional NLP to pre-trained transformers and LLMs for NER and Linking, and Relation Extraction.

SageMaker Ployglot based RAG opensearch

Samples and demos with LangGraph and LangChain frameworks.

GenAI Series - RAG, Fine tuning, Agents, Knowledge Graph

You’ll explore new advancements like ChatGPT’s function calling capability, and build a conversational agent using a new syntax called LangChain Expression Language (LCEL) for tasks like tagging, extraction, tool selection, and routing.

How to build a simplified Corrective RAG assistant with Amazon Bedrock using LLMs, Embeddings model, Knowledge Bases for Amazon Bedrock, and Agents for Amazon Bedrock.

Building a Legal Case Search Engine Using Qdrant, Llama 3, LangChain and Exploring Different Filtering Techniques

This repo contains almost everything about Generative Ai

A QA RAG system that uses a custom chromadb to retrieve relevant passages and then uses an LLM to generate the answer.

This project implements RAG using OpenAI's embedding models and LangChain's Python library

GraphRag vs Embeddings

Demo done in a jupyter notebook to show how Retrieval Augmented Generation (RAG) can be done without using any frameworks.

Learn how to build effective LLM-based applications with Semantic Kernel in C#

🦛 Chonkie's recipes for Agents, Context Engineering, and more! 🧑‍🍳 Chonkie knows how to cook (and it cooks well!)

Agentic Retrieval-Augmented Generation (RAG) architecture that Analysis the US Stock Market and assists the user on investment decisions. The app runs locally

LLM-powered financial analyst using LoRA-tuned Llama-3 and RAG pipeline to answer complex queries over SEC 10-K filings with contextual accuracy.

So, you want to create your very own chatbot? Well, buckle up and get ready for a wild ride! With OpenAI APIs, you can train your chatbot to be the ultimate conversationalist. From discussing the latest trends in fashion to debating the merits of pineapple on pizza, your chatbot will be ready to take on any topic.

Miscellaneous codes and writings for MLOps

AI-powered technical interview system with dynamic resume analysis, voice interaction, and automated evaluation reports.

Real-time AI Avatar interface powered by Google Gemini. Features a customizable VRM anime-style character with low-latency voice interaction, conceptually inspired by xAI's Ani

Open-source multi-agent AI platform for Formula 1 race replay, strategy simulation, and explainable race strategy recommendations. (work in progress, MVP in legacy branch)

Build sovereign RAG systems with MAS‑RAG, Dual‑RAG, GraphRAG, Spatial‑RAG, multimodal pipelines, and vector search directly inside Oracle AI Database 26ai and Exadata.

💵 AI-powered financial advisor that analyzes personal transaction data, generates insights, and provides personalized financial advice.

Conflict-aware knowledge-graph RAG: temporal contradiction detection, entropy-based path filtering, and calibrated confidence over a Neo4j graph

My complete journey to becoming an Agentic AI Engineer through structured learning, projects, experiments, and production-ready implementations of modern AI systems.

In this repo, we explore Microsoft’s MagneticOne multi-agent system. It includes a workflow summary, a basic diagram, and a draft implementation in LangGraph. Contributors are welcome to test and improve this adaptation from Autogen to LangGraph for another community-driven solution.

A Web Chat bot to determine the prakriti of an individual.

LLM Agents: Landing Page Generation for an E-commerce Platform Using CrewAI, Groq-LangChain and Qdrant

This code example shows how to make a chatbot for semantic search over documents using Streamlit, LangChain, and various vector databases. The chatbot lets users ask questions and get answers from a document collection. The code is in Python and can be customized for different scenarios and data.

Explore new advancements like ChatGPT’s function calling capability, and build a conversational agent using a new syntax called LangChain Expression Language (LCEL) for tasks like tagging, extraction, tool selection, and routing.

基于 2025.4 最新的 LangChain 版本进行编写，包含官方文档的解读、底层原理解析、面向应用的交互化代码以及个人心得体会

🫧 A one-stop hub, like a sample library 🪂 Azure OpenAI 100+ Sample Code 🧪 Organized by topic for quick reference.

Intelligent AI Chatbot For Autism Spectrum Disorder.

Chatbot with personality using DialogGPT from huggingface (Rick bot).

It is a chatbot for question and answering using RAG based on LLM

本项目是一个完整的RAG系统教程，涵盖了从基础概念到高级技术的全面内容。通过Jupyter Notebook的形式，逐步讲解如何构建和优化一个高效的检索增强生成系统。本项目使用的所有模型都是本地化部署的，在3090上可以运行。

Intuitive RAG system on top of LllamaIndex

Fully automated README.md generator powered by multi-agent CREW AI 🤖 and Llama3-70B 🧠—analyzing project structure 📂 and creating custom README styles ✨!

In this course you'll learn to use Gradio to create user-friendly apps with minimal code: Summarize text using a large language model, generate image captions, and chat with an open source LLM. Gain practical knowledge to build interactive demos faster.

Fine-tuning a quantized Llama 2 chat model on Q&A pairs from counselchat.com to provide empathetic and appropriate mental health advice

Autonomous Knowledge Graph Exploration with Adaptive Breadth-Depth Retrieval

An open-source integration of GraphRAG for Agentic System with NoCode

Practical Jupyter notebooks from Andrew Ng and Harrison Chase's "LangChain for LLM Application Development" course on DeepLearning.AI.

LLM application: fine tuned model to generate social media posts from technical blogposts. I used the documentation in https://numpy.org/numpy-tutorials/index.html to build a synthetic dataset and used that dataset to fine-tune an open source model.

using mulimodal RAG to query texts, images and tables from pdf for QA

PTIT's Major Project: Website Programming - This repo contains a chatbot for a clothing store. The chatbot acts as an employee with specific knowledge about clothing consultation, website support, and store information.

A domain-adaptable AI chatbot powered by RAG, FAISS, and LangChain to answer questions from your custom PDFs using HuggingFace LLMs.

This project builds a custom question answering chatbot using Langchain and Google Gemini Language Model (LLM). It fine-tunes industrial data for accurate responses and integrates Streamlit for user interaction, aiming to enhance user experience.

YouTube-Based Multimodal Recipe Recommender

Securing Agentic AI Developer Day shows developers how to take an agentic AI reference workflow to production securely.

Simulation of job offers and CVs with real-time processing, classification, and analytics using Kafka, Ray, Spark, and Databricks. Includes a Flask-based recommendation system and Tableau visualizations.

Simple bots or Simbots is a library designed to create simple bots using the power of python. This library utilises Intent, Entity, Relation and Context model to create bots .

Filter dialog data with a simple entropy-based method (see ACL paper)

An AI chatbot built using SEQ2SEQ Model

A Practical Guide to Developing a Reliable FAQ Chatbot with Reinforcement Learning and Human Feedback using GPT-2 on AWS

🚀 this project aims to develop an app using an existing open-source LLM with data collected for domain-specific Jenkins knowledge that can be fine-tuned locally and set up with a proper UI for the user to interact with.