ConvolutionalNeuralOperators.jl
CO
Julia package to implement Convolutional Neural Operators
Updated 21 hours ago
1
Get started
17 commits | Last commit ≈ 4 days ago
Ctrl K
AttentionLayer.jl
Implements the Attention mechanism in Julia as a modular Lux layer
1
contributor
Cite this software
What AttentionLayer.jl can do for you
AttentionLayer
This package implements the attention mechanism as a Lux layer. It can then be used for closure modeling.
Install
using Pkg
Pkg.add("git@github.com:DEEPDIP-project/AttentionLayer.jl.git")
Usage
Look in test/ for examples on how to use the package.
How to Cite
If you use AttentionLayer.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
Programming language
License
</>Source code
Participating organisations
Contributors
Contact person
Netherlands eScience Center
Related projects
DEEPDIP
Discovering deep physics models with differentiable programming
Updated 6 months ago
In progress
Related software
CoupledNODE
CO
CoupledNODE.jl is a SciML repository that extends NODEs (Neural Ordinary Differential Equations) to C-NODEs (Coupled Neural ODEs), providing a data-driven approach to modelling solutions for multiscale systems when exact solutions are not feasible.
Updated 4 weeks ago
5