Analysis utilities: confusion matrix, top losses, permutation importance for tsai-rs
Time series deep learning in Rust - a feature-parity port of Python tsai
Command-line interface for tsai-rs time series deep learning
Heterogeneous compute abstraction layer for tsai-rs
Core tensor types, shapes, and transform traits for tsai-rs time series deep learning
Dataset and dataloader implementations for tsai-rs time series deep learning
Explainability: activation/gradient capture, attribution maps for tsai-rs
Model zoo for tsai-rs: CNN, Transformer, ROCKET, RNN, and Tabular architectures
Training loop, callbacks, metrics, and checkpointing for tsai-rs
Time series augmentations, label-mixing, and imaging transforms for tsai-rs
Rust Library for AttackerKB API