API Reference

This section provides detailed API documentation for Mammoth Lite’s core components.

Overview

The Mammoth Lite API is organized into several key modules:

• utils: Core utilities and main entry points

• models: Continual learning strategies and algorithms

• datasets: Dataset loaders and continual learning benchmarks

• backbones: Neural network architectures

• args: Configuration and argument handling

Quick Reference

For detailed documentation of each module, see the individual pages linked below.

Module Details

For detailed documentation of each module, see the individual pages in this section.

API Documentation:

• Utils
  • binary_to_boolean_type()
  • create_if_not_exists()
  • infer_args_from_signature()
  • register_dynamic_module_fn()
  • Submodules
• Models
  • Submodules
• Datasets
  • Submodules
• Backbones
  • MammothBackbone
  • get_backbone()
  • get_backbone_class()
  • get_backbone_names()
  • num_flat_features()
  • register_backbone()
  • xavier()
  • Submodules