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Autoformer
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Autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

by thuml · GitHub
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deep-learningtime-seriesMITJupyter Notebook
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In plain words

Implement a model designed for accurate long-term forecasting of time series data in various fields like energy and weather.

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2026-07-072026-08-31
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📄 About

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

Autoformer has 2.5k stars on GitHub. It has been forked 498 times. Autoformer is written mainly in Jupyter Notebook. It has been in active development since 2021. Autoformer is available under the MIT license. Its main topics are deep-learning, time-series.

Frequently asked questions

What is Autoformer?

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

Is Autoformer open source?

Autoformer is an open-source project. It is released under the MIT license.

Is Autoformer free?

Yes. Autoformer is free and open source — you can use, modify and self-host it.

What license does Autoformer use?

Autoformer is available under the MIT license.

What language is Autoformer written in?

Autoformer is written mainly in Jupyter Notebook.

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