A small visual explainer showing how common data types become PyTorch tensors:
- Tabular data
- Time-series (sequential) data
- Text (sequential) data
- Image (spatial) data
The project is intentionally small and client-side only. It focuses on the basic structural idea: common inputs become arrays of numbers with shapes a model can process.
Live Demo: Everything is a Tensor
- React
- Vite
- Tailwind CSS
- GitHub Pages
npm install
npm run devnpm run buildGitHub Actions builds the site and deploys it to GitHub Pages.
This project deliberately omits modalities like audio and video, for simplicity. It stays on the shortest path to the main idea: everything a model sees is ultimately a tensor.