kolmogorovArnoldFourierNetwork/KAF

KAF : Kolmogorov-Arnold Fourier Networks

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Experimental

This project offers a new method for building machine learning models that are more efficient and better at handling complex data than existing solutions. It takes in various types of data—like images, audio, or text—and produces a trained model capable of tasks such as image recognition, natural language processing, or solving scientific equations. Scientists, engineers, and data professionals working with complex datasets who need efficient, high-performing models would find this useful.

No commits in the last 6 months.

Use this if you are developing AI models and need a neural network component that can better capture high-frequency patterns in data while using fewer computational resources.

Not ideal if you are looking for a simple, off-the-shelf solution for basic data tasks without any advanced model development.

deep-learning computational-efficiency scientific-modeling signal-processing predictive-analytics
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 8 / 25
Community 8 / 25

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Last pushed

Feb 19, 2025

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