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
📚 Tutorials
Learn how to use AutoCast with our in-depth tutorial
👥 Contributing
Learn how to contribute to AutoCast
💻 GitHub Repository
Check out our source code
🐛 Issue Tracker
Report bugs or request new features
🔍 API Reference
The AutoCast API