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GitHub / SciML / NeuralOperators.jl

DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SciML%2FNeuralOperators.jl

Stars: 224
Forks: 34
Open Issues: 37

License: mit
Language: Julia
Repo Size: 15.4 MB
Dependencies: 15

Created: about 3 years ago
Updated: about 1 month ago
Last pushed: about 2 months ago
Last synced: about 1 month ago

Commit Stats

Commits: 346
Authors: 17
Mean commits per author: 20.35
Development Distribution Score: 0.324
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/SciML/NeuralOperators.jl

Topics: automatic-differentiation, deep-learning, deeponet, differential-equations, fourier-neural-operator, fourier-transform, gnn, julia, operator, partial-differential-equations, pde, scientific-machine-learning

Funding links: https://github.com/sponsors/SciML

Files
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    Readme
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    Dependencies
    .github/workflows/CI.yml actions
    .github/workflows/CompatHelper.yml actions
    .github/workflows/FormatCheck.yml actions
    .github/workflows/Invalidations.yml actions
    .github/workflows/TagBot.yml actions