Welcome to NCALab’s documentation!

NCALab is a framework designed to streamline the creation and analysis of Neural Cellular Automata (NCA) implementations. With NCALab, users can effortlessly explore various applications, including image segmentation, classification, and synthesis. Designed for researchers, developers, and enthusiasts alike, NCALab enables users to explore a variety of downstream tasks, including image segmentation, classification, and synthesis.

This documentation serves as a comprehensive guide to understanding and utilizing NCALab’s features. Here, you’ll find detailed instructions, examples, and best practices to help you get started.

Contents:

• Introduction to Neural Cellular Automata
• Introduction to NCALab
  • NCA Model Layout
  • Subclassing BasicNCAModel
  • Transfer Learning
• API Reference
  • ncalab

Indices and tables

• Index

• Module Index