ParametricDFNOs.jl
ParametricDFNOs.jl is an library designed for training large scale Fourier Neural Operators on multiple nodes. It is network that is primarily used to learn solution operators to PDE systems (Zongyi Li, et al., 2020). We adopt a model parallel architecture (Grady et al., 2022) to offer a clean and easy to use implementation of Distributed Fourier Neural Operators in Julia.
ParametricDFNOs.jl is a library built on top of ParametricOperators.jl, a kronecker based framework that allows for efficient machine learning on large scale data
Read our paper here.
Authors
This package is developed and maintained by Felix J. Herrmann's SlimGroup at Georgia Institute of Technology. The main contributors of this package are:
License
MIT License
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