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Kolmogorov-Arnold Networks
Kolmogorov Arnold Networks. Contribute to KindXiaoming/pykan development by creating an account on GitHub.
Kolmogorov-Arnold Networks (KANs) are promising alternatives of Multi-Layer Perceptrons (MLPs). Training KANs for PDE is the most expensive and may take hours to days on a single CPU. We use CPUs to train our models because we carried out parameter sweeps (both for MLPs and KANs) to obtain Pareto Frontiers.
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