Anomaly-Transformer
The Anomaly Transformer project presents a novel method for detecting anomalies in time series data through association discrepancy. It incorporates an Anomaly-Attention mechanism and a minimax strategy to distinguish between normal and abnormal data effectively. Pre-processed datasets and experiment scripts are included for reproducibility of results.
