TimeCSL: An Unsupervised Contrastive Learning Framework for Interpretable Time Series Analysis

TimeCSL is an end-to-end system that leverages unsupervised contrastive learning of general shapelets to enable flexible and interpretable time series analysis across various tasks such as classification, clustering, and anomaly detection.