GenAI Playground

Learn AI, ML, and NLP with interactive Jupyter Notebook tutorials.

Interactive notes (Jupyter Notebooks) for building AI-powered applications

LangGraph Typescript Agents Notebooks: email, human in the loop, memory

Experimental Marimo extension for Agentic Notebooks -- integrating AI Agents into the Notebook workflow

This Git repository contains the source code and related files for a project focused on leveraging generative AI techniques for interactive data visualization. The repository includes the notebook, example dataset, and the configuration file necessary to implement a simple interactive data visualization tool using OpenAI API.

Langraph Understanding

📘 Explore Jupyter notebooks that teach LangGraph concepts, from basic graphs to advanced agent design, enhancing your understanding of language model control flows.

AI Agent and Agentic Ai Development Notebooks

AI apps development in LangChain & LangGraph - tutorial notebooks

These are various Jupyter-Lab notebooks that can help you get familiar with various AI agent frameworks. The notebooks are desinged specifically to run within the Multi-Agent-AI-Research-System environment. Please see my other repository for setting up this environment.

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

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.

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.

AI Learning: A comprehensive repository for Artificial Intelligence and Machine Learning resources, primarily using Jupyter Notebooks and Python. Explore tutorials, projects, and guides covering foundational to advanced concepts in AI, ML, DL and Gen/Agentic Ai.

Few notebooks containing the code for building agentic workflow from ground up

Capstone project for building a GenAI-driven Security Assistant using LangGraph, Gemini, and SerpAPI.

A collection of Jupyter notebooks demonstrating implementations of Large Language Models (LLMs) using LangChain and LangGraph

An introduction to RAG with LangChain & Ollama, featuring a companion PDF and two hands-on notebooks.