Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments
Implementation of the Random Dilated Shapelet Transform algorithm along with interpretability tools. ReadTheDocs documentation is not up to date with the current version for now.
This is an official pytorch implementation for paper "Learning Soft Sparse Shapes for Efficient Time-Series Classification" (ICML-25, Spotlight).
This is an official pytorch implementation for paper "A Unified Shape-Aware Foundation Model for Time Series Classification" (AAAI-26).
USAD model on UCR Time Series Anomaly Archive
Reproduction and empirical evaluation of MiniRocket (KDD 2021) for COMP41850
HG4TS_SSF: Hierarchy Generation for Time Series using Stochastic Splitting Functions
MSNet / LS-Net: Multi-Scale Representation Networks for Time Series Classification Reference PyTorch implementation of MSNet and LS-Net, two lightweight multi-scale CNN architectures for time series classification. The repository provides model implementations and runnable demos on UCR datasets.
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