AttentionLayer.jl
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Implements the Attention mechanism in Julia as a modular Lux layer
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ConvolutionalNeuralOperators.jl
Julia package to implement Convolutional Neural Operators
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What ConvolutionalNeuralOperators.jl can do for you
ConvolutionalNeuralOperators
This package implements Convolutional Neural Operators following this. The CNOs can then be used as custom Lux models and they are compatible with closure modeling.
Install
using Pkg
Pkg.add("git@github.com:DEEPDIP-project/ConvolutionalNeuralOperator.jl.git")
Usage
Look in test/ for examples on how to use the package.
How to Cite
If you use ConvolutionalNeuralOperators.jl in your work, please cite using the reference given in CITATION.cff.
Contributing
If you want to make contributions of any kind, please first that a look into our contributing guide directly on GitHub or the contributing page on the website
Contributors
Keywords
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License
</>Source code
Participating organisations
Contributors
Contact person
Netherlands eScience Center
Related projects
DEEPDIP
Discovering deep physics models with differentiable programming
Updated 7 months ago
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