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Crossformer
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Crossformer

Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"

by Thinklab-SJTU · GitHub
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deep-learningtime-series-forecastingtransformersApache-2.0Python
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Forecast future trends in data by using a specialized model for time series analysis.

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2026-07-202026-08-31
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📄 About

Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"

Crossformer has 695 stars on GitHub. It has been forked 112 times. Crossformer is written mainly in Python. It has been in active development since 2023. Crossformer is available under the Apache-2.0 license. Its main topics are deep-learning, time-series-forecasting, transformers.

Frequently asked questions

What is Crossformer?

Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"

Is Crossformer open source?

Crossformer is an open-source project. It is released under the Apache-2.0 license.

Is Crossformer free?

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

What license does Crossformer use?

Crossformer is available under the Apache-2.0 license.

What language is Crossformer written in?

Crossformer is written mainly in Python.

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