[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"
Forecast time series data using a method that mixes different scales of information.
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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.
[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"
TimeMixer is an open-source project. It is released under the Apache-2.0 license.
Yes. TimeMixer is free and open source — you can use, modify and self-host it.
TimeMixer is available under the Apache-2.0 license.
TimeMixer is written mainly in Python.
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