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-3/julialang/neuraloperators-dot-jl/docs/Project.toml`
[cbdf2221] AlgebraOfGraphics v0.12.1
[336ed68f] CSV v0.10.15
[13f3f980] CairoMakie v0.15.8
[992eb4ea] CondaPkg v0.2.34
[124859b0] DataDeps v0.7.13
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[b2108857] Lux v1.31.3
[23992714] MAT v0.11.5
[f1d291b0] MLUtils v0.4.8
[ea5c82af] NeuralOperators v0.6.3 `.`
[3bd65402] Optimisers v0.4.7
[6099a3de] PythonCall v0.9.31
[3c362404] Reactant v0.2.220 `https://github.com/EnzymeAD/Reactant.jl#ap/fix_complex_fd`
[6c6a2e73] Scratch v1.3.0
[de0858da] Printf v1.11.0and using this machine and Julia version.
Julia Version 1.12.5
Commit 5fe89b8ddc1 (2026-02-09 16:05 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-18.1.7 (ORCJIT, znver2)
GC: Built with stock GC
Threads: 1 default, 1 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/lib64:/usr/local/cuda/lib64A more complete overview of all dependencies and their versions is also provided.
Status `/var/lib/buildkite-agent/builds/gpuci-3/julialang/neuraloperators-dot-jl/Manifest.toml`
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Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m`You can also download the manifest file and the project file.