Jupyter Notebook agents

Synthesizing classical guitar pieces using custom tokenization and transformer-based architecture.

FloatChat AI is a conversational AI platform for ARGO Ocean Data Discovery and Visualization, providing accurate and interactive tools to explore oceanographic data. Built with Python, LangChain, Pandas, and machine learning models, it makes complex ocean data accessible and actionable for researchers and enthusiasts.

Production-ready Llama 2 AI toolkit — SQL query generator, email assistant, invoice extractor & LLM deployment on Google Colab | MLOps | LLMOps | Azure AI

Demo of a Fiber Cut Response Agent using Azure Content Understanding to process multi-modal field documents (PDFs, photos, diagrams, audio) and reason with Foundry models for incident triage. From Microsoft Build 2026.

AI-powered career assistant with XGBoost ML model (78.14% accuracy) trained on 6K+ resume-job pairs. Features advanced NLP skill extraction, GPT-4 resume enhancement, and intelligent job matching with real-time predictions.

Custom Trained LLM application with Llama, and grounding via RAG. This project uses Streamlit to create a simple UX LLM based chatbot with Llama3 & RAG grounding on Stehen Hawking's books

This repository is continuously updated with new architectures and improvements to stay at the forefront of AI agent design.

AI-powered cloud architect agent that analyzes codebases and generates optimized infrastructure as code.

Deep learning models implemented as web services for integration in Rhino Grasshopper

Simple Streamlit application that parses the data from Invoice images and returns it in JSON format

A WhatsApp chatbot for real estate inquiries, built using Twilio API, Flask, and a BERT intent classifier. It uses LangChain and RAG for managing context and delivering accurate property information, automating client interactions while easing the workload for agents.

A Graph RAG implementation using Neo4j and LangChain

Python script utilizing the OpenAI API and LangChain to summarize emails. User inputs email and subject, and function returns sender, role, tone, summary, and spam classification.

MovieMatch helps you discover films similar to ones you love. Search by title, get a ranked top-10 list, sort results, and optionally generate AI-powered insights for each pick via a local Ollama model.

🧩 Interfacing with different LLMs-chains, vectorstore databases, and autonomous agents.

RAG Evaluation Pipeline with RAGAS

I shared exercises about Langchain!🦜🔗

A template to set up, build and deploy a RAG-API including frontend and backend with docker compose.

Converso is a LangChain extension that streamlines data acquisition and action execution through natural language

SQL Agent is an intelligent chatbot that interprets natural language queries and converts them into SQL, interacts with your database, and handles query verification and execution with user confirmation. SQL-Agent simplifies database interaction, allowing users to interact conversationally instead of writing SQL.

It shows how to use langchain for sagemaker endpoint.

An Agentic RAG implementation using Langchain and a telegram client to send/receive messages from the chatbot

Notebooks for the Built Multi-Agent Applications with AutoGen Course

Bu depo; Microsoft AutoGen ile yaptığım/deneysel çalışmalar, entegrasyon denemeleri ve çoklu LLM sağlayıcı karşılaştırmalı örneklerini içeren bir çalışma alanıdır.

Foundational bootcamp on LLM usage (prompting & inference) → tooling & orchestration (LangChain, agents) → Retrieval-Augmented Generation (RAG) → advanced multi-tool/agent patterns.

Code repository for examples of implementing quick machine learning solutions to real-world problems

A Kotlin Spring AI demo uses the Agentic approach to demonstrate "Let LLM think on graph schema"

Build a chatbot based on gender with Seq2Seq and Schedule-Sampling Seq2Seq with PyTorch

Meet Pyter, The Machine Learning Chatbot Tutor with Interactive Jupyter Notebook

seq2seq 모델과 pytorch로 제작한 chatbot 생성 튜토리얼

An intent-based chatbot in python with tflearn and TensorFlow. It can be trained for a specific purpose and works well within that specific scope.

A chatbot that can take one of the 16 Myers-Briggs personalities

it provides Nao Robot conversation abilities to handle a free open-domain dialogue.

A deep learning chatbot that generates sarcastic and comical answers to your questions.

A Flask and Deep Learning Project that recognizes the emotion/mood of the user via either a photo or voice or text given as input by the user. It also contains a chatbot!

Team - Brogrammers. Won cash prize of INR 20000 at GE Healthcare Challenge

A chatbot developed using seq2seq encoder-decoder

ChatPod - Q&A over your Podcasts

An Advanced RAG Pipeline

Thread-Safe OpenAI Cost Logger

Use of parallel Function Calling with Azure OpenAI GPT models to manage vehicle's controls, simulated by Flask APIs.

A fashion search AI system utilizing Myntra dataset for providing detailed and user-friendly responses to fashion-related queries.

Practical use of Azure API Management's AI Gateway to manage Azure OpenAI operations.

Decrypting Passwords to Access Lost Bitcoin Wallets Using Gauss-Jacobi Method and Machine Learning Process BitcoinChatGPT

Building RAG With OpenAI GPT-4o(omni) Model Using Objectbox Vector Database

This repository develops a RAG-powered chatbot that answers questions based on a specific PDF document. Key objectives include: Chatbot Development: Chatbot using Retrieval-Augmented Generation (RAG) Dataset Creation, Performance Evaluation

Retrieval-Augmented Generation system: ask a question, retrieve relevant documents, and generate precise answers. RAG demo: document retrieval + LLM answering

Code for the USDA Branded Food Dataset pipeline and the USDA Food Assistant. This project consolidates USDA FoodData Central data into a structured dataset, along with an interactive tool that allows for conversational exploration of food items, nutrients, and ingredients.

Leverage vector databases to swiftly construct a diverse range of applications through "Building Applications with Vector Databases" course!

Multi-provider LLaMA 3.1 70B benchmark for dental knowledge — latency, consistency, and factual accuracy across 7 hosts, tracked in Weights & Biases.

🧹 Automated Filtering of Undesirable Web Data to Update LLM Knowledge

TinyRAG is a minimalist Python library that enables developers to rapidly build RAG-powered applications. It supports a flexible range of LLM endpoints and provides a clean API for combining retrieval with generation.

This repository contains practical examples and sample projects demonstrating how to use Moorcheh, a framework for building AI-powered chat applications.

A comprehensive end-to-end tutorial series covering the complete lifecycle of building, deploying, and monitoring AI agents using modern GenAI frameworks.

This project is an innovative coffee shop application designed to bring an engaging and personalized experience to coffee lovers. The app leverages AI-powered agents for chat-based interactions and integrates modern web and mobile development techniques to provide seamless ordering and delivery services.

QueryGenie.AI is a Generative AI tool to extract data from a database by using simple Natural Language. This tool takes question in the form of natural language and convert that into SQL query then it shows both SQL query and exact answer as output to the user.

Learn to build trustworthy AI with systematic evaluations in Azure AI Foundry. The session covers quality, safety, agent and custom evaluators

Full-stack LLM Engineering Lab. Features: Autonomous Agents (ReAct/AutoGPT) | Fine-Tuning Llama/Mistral (SFT/DPO) | Large Model Deployment (DeepSeek 671B / 2.5-bit) | Advanced RAG (Hybrid Search) | Function Calling (Stream/Text-to-SQL/External APIs) | Frameworks (LangChain, Semantic Kernel, OpenAI) | Daily SOTA Paper Tracking. From theory to 0-to-1

A collection of courses on different topics in Generative AI.

Retrieval Augmented Generation (RAG) deeplearning.ai

LangGraph: Multi-Agent Supervisor Chatting with a User

Just LangChain for beginners tutorial in Persian.

Open Research Agent for Operations Research Problems

📑 DAYA: Document Aware hYbrid Architecture, A RAG Pipeline for Illustrated Documents (PPTs).

An agentic AI system for conversational data analysis. Upload any CSV, query your data in natural language, and receive instant insights, auto-generated visualizations, and executable Python code — powered by LangChain, OpenAI/Gemini LLMs, Streamlit, and FastAPI.

Collaborative development environment and project repository for the Coddiom agency. Featuring AI-driven workflows, product scaling experiments, and automated content generation pipelines.

How to build LLM agents with Magentic

A simple AgenticAI RAG agent showcasing autonomous reasoning and decision-making by integrating thought, logic, and action in real-time tasks.

In this we implements a Retrieval-Augmented Generation (RAG) based conversational AI agent designed for intelligent knowledge extraction from PDF documents. Leveraging LangChain and Google’s Gemini LLM

Việt Nam Dữ Liệu

Recursive Consciousness: Modeling Minds in Forgetful Systems

Metadata filtering in RAG application

Multi-agent LLM simulations testing algorithmic collusion and coordination breakdown in oligopoly markets.

LLMRoboFund is a powerful chatbot empowered with Multi-document RAG. The chatbot is equipped with RetrievalQA and SQL Agents to ease the investment research

AI-Powered Study Plan and Book Summarization is a powerful repository that combines two cutting-edge AI solutions: a personalized study plan generator and a hierarchical book summarization system.

Learning and sharing about libraries and frameworks on LLMs 😎

🎧💡 EchoSummarize: A YouTube video summarizer using the Phi-3.5-mini LLM, providing fast and accurate summaries of video transcripts.

Explore how to build a Q&A system on PDF File's using AstraDB's Vector DB with Langchain and OpenAI API's

How to process semi-structured data using Large Language Models (LLMs) on Amazon Bedrock.

A real-time AI-powered chatroom that detects emotions, blocks toxic content, and generates conversation insights using microservices and modern Transformer models

Agentic chatbot for food-delivery order queries: SQL agent over order DB → LLM-powered, guardrailed responses. LangChain, OpenAI/Claude, SQLite.

Agentic RAG using Crew AI

Beyond Vectors: Augment LLM Capabilities with MongoDB Aggregation Framework and CrewAI

🤖🤝🤖AI agent orchestration patterns with Semantic Kernel and AutoGen. 💸Investment advisor scenario.

Welcome to SriksML – a comprehensive repository of hands-on, production-inspired Jupyter notebooks and code samples for modern machine learning, deep learning, and AI workflows.

ArguBot is a chatbot based on the doctoral thesis "Construction of Arguments and Socio-Technical Controversies" by Tomás Manzur. It offers interactive access to the thesis's insights on the Plan Provincial de Ordenamiento Territorial of Mendoza.

Personality Representation & Personality based Chatting

This repository contains a machine learning-based predictive model for automating loan eligibility assessments. Using features such as demographic details, loan information, and credit history, the model predicts whether a loan should be approved or denied.

Chatbot for E-Commerce Related Questions

The intention of this project is to create a chatbot based on movie reviews so that you can ask questions and have a free conversation about this topic.

A multi-backend AI chatbot with a customizable Gradio interface, supporting 100+ models from local and cloud providers.

Python library for building custom AI chatbot with just one line of code.

Simple chatbot implementation with PyTorch.

This GitHub repository is a valuable resource for machine learning and Python enthusiasts. It includes a wide range of projects and tools, covering topics like Data Visualization, Data Analysis, ML, DL, Automation, NLP, Web Scraping, and more. Contributors are welcome to join and learn together in this supportive community. Happy coding!

위험지수 및 혼잡도를 고려한 대중교통 추천 경로를 안내해주는 챗봇입니다.

Discord bot using DailoGPT pretrained model on Rick& Morty Dataset from Kaggle

A prompting framework for getting foundational models to “lazily” evaluate their reasoning trace

This repo mirrors my public Kaggle notebooks and keeps them in one clean, versioned place.