Welcome to AutoCast#
AutoCast is a Python library for spatiotemporal forecasting of physical systems. Built on PyTorch Lightning, it provides a modular encoder-processor-decoder architecture for learning to predict the evolution of spatiotemporal fields, such as those arising from partial differential equations (PDEs).
This website provides detailed documentation on how to use AutoCast, including installation instructions, tutorials, and a comprehensive API reference.
🔗 Quick Links#
⚡ Install
Our installation guide will get you up and running in no time
💻 GitHub Repository
Check out our source code
🔍 API Reference
The AutoCast API