Data#
A comprehensive data handling pipeline with modular components for anomaly detection tasks.
Data Classes
Core data structures that define how data is represented and validated throughout the pipeline. Features type-safe containers, dual backend support, and automatic validation.
Data Modules
Lightning implementations of these PyTorch datasets that provide automated data loading, train/val/test splitting, and distributed training support through the PyTorch Lightning DataModule interface.
Additional Resources#
Data Utils
Helper functions and utilities for data processing and augmentation.
How-To Guides
Step-by-step guides on using the data components and custom data.