kwuking/TimeMixer
[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"
This helps professionals who need to predict future values based on historical data, like sales managers forecasting product demand or energy analysts predicting consumption. You input a time series dataset, and it provides accurate forecasts for both short and long periods. This tool is for anyone who relies on data-driven predictions to make informed decisions and optimize operations.
1,889 stars. No commits in the last 6 months.
Use this if you need highly accurate, multi-scale forecasts for time series data, ranging from short-term predictions to extended future horizons.
Not ideal if your primary need is simple trend analysis without requiring complex decomposition or multi-scale predictive modeling.
Stars
1,889
Forks
223
Language
Python
License
Apache-2.0
Category
Last pushed
Oct 05, 2025
Commits (30d)
0
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