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TimeMixer
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TimeMixer

[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"

by kwuking · GitHub
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deep-learningmachine-learningtime-seriesApache-2.0Python
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In plain words

Forecast time series data using a method that mixes different scales of information.

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1 9711 970
2026-07-202026-08-31
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📄 About

[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"

TimeMixer has 2k stars on GitHub. It has been forked 239 times. TimeMixer is written mainly in Python. It has been in active development since 2024. TimeMixer is available under the Apache-2.0 license. Its main topics are deep-learning, machine-learning, time-series, time-series-analysis.

Frequently asked questions

What is TimeMixer?

[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"

Is TimeMixer open source?

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

Is TimeMixer free?

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

What license does TimeMixer use?

TimeMixer is available under the Apache-2.0 license.

What language is TimeMixer written in?

TimeMixer is written mainly in Python.

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