Results for tsai_transforms

Time series augmentations, label-mixing, and imaging transforms for tsai-rs

Core tensor types, shapes, and transform traits for tsai-rs time series deep learning

Model zoo for tsai-rs: CNN, Transformer, ROCKET, RNN, and Tabular architectures

Time series deep learning in Rust - a feature-parity port of Python tsai

Analysis utilities: confusion matrix, top losses, permutation importance for tsai-rs

Command-line interface for tsai-rs time series deep learning

Heterogeneous compute abstraction layer for tsai-rs

Dataset and dataloader implementations for tsai-rs time series deep learning

Explainability: activation/gradient capture, attribution maps for tsai-rs

Training loop, callbacks, metrics, and checkpointing for tsai-rs

Closed-form and linear initialization solvers for calibration-rs

A pure Rust bzip2 encoder