sunbus100/FreqMoE-main
The official implementation of "FreqMoE: Enhancing Time Series Forecasting through Frequency Decomposition Mixture of Experts"
This tool helps you make accurate long-term predictions from historical data. It takes in time-series data, typically in a CSV file, and produces highly efficient, precise forecasts. This is designed for data scientists, analysts, or researchers who need to predict future trends in areas like sales, sensor readings, or stock prices.
No commits in the last 6 months.
Use this if you need to forecast future values from long-term historical time-series data with high accuracy and efficiency.
Not ideal if you are looking for a simple, out-of-the-box forecasting solution without needing to engage with underlying model complexities.
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45
Forks
6
Language
Python
License
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Category
Last pushed
Mar 17, 2025
Commits (30d)
0
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