qingsongedu/time-series-transformers-review
A curated collection of papers, code, and resources on transformer models applied to time series forecasting, classification, and anomaly detection.
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This repository aggregates academic resources on transformers for time series modeling, covering forecasting, classification, and anomaly detection tasks. It references papers from top AI venues including IJCAI and provides links to implementations and datasets. The work serves as a systematic survey aimed at researchers and practitioners working on deep learning for temporal data.