jlamprou/Fourier-Analysis-Networks-FAN
A pytorch implementation of Fourier Analysis Networks (FAN)
This project offers a new type of neural network layer, the Fourier Analysis Network (FAN), designed to help you analyze and predict patterns that repeat over time or space. It takes in numerical data and processes it using principles of Fourier Series, outputting refined predictions or representations of periodic information. Researchers and data scientists working with complex cyclical data would find this useful.
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Use this if you are developing AI models and need a more efficient and accurate way to model data with clear periodic patterns, such as in time series forecasting or signal processing.
Not ideal if your data lacks periodic characteristics or if you are not working with neural network development.
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Python
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Last pushed
Oct 09, 2024
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