This project provides three end-to-end multi-agent chatbot examples built on LangGraph and LangChain, showcasing both centralized “Supervisor” and decentralized “Swarm” coordination patterns. Included are a voice-enabled customer support bot, a doctor appointment scheduler and a booking workflow template—each configurable via `.env` and `langgraph

This project implements an AI chatbot that provides personalized trading recommendations using Bayesian networks. Through natural conversation, users construct a custom Bayesian network tailored to their trading scenario. The chatbot integrates real-time financial data to estimate probabilities and perform inferences ,resulting in valuable insights

Generating realistic drum music using LSTM neural networks trained on rock-style MIDI drum performances. Overcoming repetitive patterns for diverse and genre-specific compositions.

Implementation of the PyTorch version of the Weather Deep Learning Model Zoo