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Transformers in Time Series

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A professionally curated list of awesome resources (paper, code, data, etc.) on Transformers in Time Series, which is first work to comprehensively and systematically summarize the recent advances of Transformers for modeling time series data to the best of our knowledge.

We will continue to update this list with newest resources. If you found any missed resources (paper/code) or errors, please feel free to open an issue or make a pull request.

For general AI for Time Series (AI4TS) Papers, Tutorials, and Surveys at the Top AI Conferences and Journals, please check This Repo.

For general Recent AI Advances: Tutorials and Surveys in various areas (DL, ML, DM, CV, NLP, Speech, etc.) at the Top AI Conferences and Journals, please check This Repo.

Survey paper

Transformers in Time Series: A Survey (IJCAI'23 Survey Track)

Qingsong Wen, Tian Zhou, Chaoli Zhang, Weiqi Chen, Ziqing Ma, Junchi Yan and Liang Sun.

If you find this repository helpful for your work, please kindly cite our survey paper.

@inproceedings{wen2023transformers,
  title={Transformers in time series: A survey},
  author={Wen, Qingsong and Zhou, Tian and Zhang, Chaoli and Chen, Weiqi and Ma, Ziqing and Yan, Junchi and Sun, Liang},
  booktitle={International Joint Conference on Artificial Intelligence(IJCAI)},
  year={2023}
}

Taxonomy of Transformers for time series modeling

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<img src="TS_Xformer_V2.jpg" width=700 align=middle> <br />

Application Domains of Time Series Transformers

[official code]

Transformers in Forecasting

Time Series Forecasting

Spatio-Temporal Forecasting

Event Irregular Time Series Modeling

Transformers in Anomaly Detection

Transformers in Classification

Time Series Related Survey

Transformer/Attention Tutorial/Survey in Other Disciplines