Caltech Open-Sources FNO: A Deep Learning Method For Solving PDEs (Partial differential equations)

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Caltech’s Dolcit group recently open-sourced FNO, Fourier Neural Operator, a deep-learning method for Solving the PDEs (Partial differential equations). FNO being three times faster than traditional solvers outperforms the existing deep-learning techniques for solving PDEs. FNO is used to speed up the calculations and weather predictions.

Read Full Summary: https://www.marktechpost.com/2021/01/08/caltech-open-sources-fno-a-deep-learning-method-for-solving-pdes-partial-differential-equations

Paper: https://arxiv.org/abs/2010.08895

Github: https://github.com/zongyi-li/fourier_neural_operator

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