NeuralOperators
NeuralOperators.jl is a package written in Julia to provide the architectures for learning mapping between function spaces, and learning grid invariant solution of PDEs.
Installation
On Julia 1.10+, you can install NeuralOperators.jl by running
import Pkg
Pkg.add("NeuralOperators")Currently provided operator architectures are :
Reproducibility
The documentation of this SciML package was built using these direct dependencies,
Status `/var/lib/buildkite-agent/builds/gpuci-8/julialang/neuraloperators-dot-jl/docs/Project.toml`
[cbdf2221] AlgebraOfGraphics v0.11.1
[336ed68f] CSV v0.10.15
⌃ [13f3f980] CairoMakie v0.14.0
[992eb4ea] CondaPkg v0.2.29
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[ea5c82af] NeuralOperators v0.6.2 `..`
[3bd65402] Optimisers v0.4.6
[6099a3de] PythonCall v0.9.25
[3c362404] Reactant v0.2.137
[de0858da] Printf v1.11.0
Info Packages marked with ⌃ have new versions available and may be upgradable.and using this machine and Julia version.
Julia Version 1.11.5
Commit 760b2e5b739 (2025-04-14 06:53 UTC)
Build Info:
Official https://julialang.org/ release
Platform Info:
OS: Linux (x86_64-linux-gnu)
CPU: 48 × AMD EPYC 7402 24-Core Processor
WORD_SIZE: 64
LLVM: libLLVM-16.0.6 (ORCJIT, znver2)
Threads: 1 default, 0 interactive, 1 GC (on 2 virtual cores)
Environment:
JULIA_CPU_THREADS = 2
JULIA_DEBUG = Documenter
JULIA_DEPOT_PATH = /root/.cache/julia-buildkite-plugin/depots/019014b6-8236-48ab-bcf9-d3bf7507bf65
LD_LIBRARY_PATH = /usr/local/nvidia/lib:/usr/local/nvidia/lib64A more complete overview of all dependencies and their versions is also provided.
Status `/var/lib/buildkite-agent/builds/gpuci-8/julialang/neuraloperators-dot-jl/docs/Manifest.toml`
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Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m`You can also download the manifest file and the project file.