Interactive Gaussian Process Tutorial

This repository contains a browser-based interactive tutorial for Gaussian process regression.

The project is intended to teach the topic from first principles, with an emphasis on:

• simple explanations
• interactive visual components
• concrete mathematical examples
• clearly labeled vector and matrix dimensions

Architecture

The current default architecture is:

• React
• TypeScript
• Vite
• MDX for lesson-style content
• Pyodide in a web worker for browser-side Python execution

This stack was chosen because the project is primarily an educational website, not a notebook or dashboard. The site needs strong control over layout, prose, custom visual teaching components, and interactive numerical computation without depending on a persistent Python backend.

Development

Install dependencies:

npm install

Start the development server:

npm run dev

Create a production build:

npm run build

Preview the production build locally:

npm run preview