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README.md

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# OperatorLearning.jl
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<p align="center">
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<img width="400px" src="https://pzimbrod.github.io/OperatorLearning.jl/dev/assets/logo.png"/>
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<img width="400px" src="https://operatorlearning.sciml.ai/dev/assets/logo.png"/>
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</p>
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[![Stable](https://img.shields.io/badge/docs-stable-blue.svg)](https://operatorlearning.sciml.ai/stable)
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[![Dev](https://img.shields.io/badge/docs-dev-blue.svg)](https://operatorlearning.sciml.ai/dev)
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[![Build Status](https://github.com/pzimbrod/OperatorLearning.jl/actions/workflows/CI.yml/badge.svg?branch=master)](https://github.com/pzimbrod/OperatorLearning.jl/actions/workflows/CI.yml?query=branch%3Amaster++)
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[![Build status](https://badge.buildkite.com/f0b3743420ce32c7b6f8fe974440b6fed08d68c5a244348924.svg)](https://buildkite.com/julialang/operatorlearning-dot-jl)
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[![codecov](https://codecov.io/gh/pzimbrod/OperatorLearning.jl/branch/master/graph/badge.svg?token=NM16L5S4FX)](https://codecov.io/gh/pzimbrod/OperatorLearning.jl)
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A Package that provides Layers for the learning of (nonlinear) operators in order to solve parametric PDEs.

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