# SciML/FluxNeuralOperators.jl

<https://repo.masters-masters.com/en/repos/SciML/FluxNeuralOperators.jl>

[Home](https://repo.masters-masters.com/en) › [SciML](https://repo.masters-masters.com/en/owners/SciML) › [FluxNeuralOperators.jl](https://repo.masters-masters.com/en/repos/SciML/FluxNeuralOperators.jl)

SciML/FluxNeuralOperators.jl has 292 stars on GitHub. Its RepoMasters card: Alpha tier. DeepONets, (Fourier) Neural Operators, Physics-Informed Neural…

| Field | Value |
| --- | --- |
| Owner | [SciML](https://repo.masters-masters.com/en/owners/SciML) |
| Stars | 292 |
| Forks | 40 |
| Language | [Julia](https://repo.masters-masters.com/en/languages/julia) |
| License | MIT |
| Created | 2021 |
| Topics | julia, fourier-transform, gnn, pde, operator, deep-learning, partial-differential-equations, automatic-differentiation, deeponet, differential-equations |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [SciML/FluxNeuralOperators.jl](https://github.com/SciML/FluxNeuralOperators.jl) |

## Repository

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

Archived: this repository is read-only

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.