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Awesome GitHub RepositoriesDeep Operator Network Frameworks
Frameworks specifically designed for learning operator mappings between function spaces.
Distinct from Deep Learning Framework Abstractions: Distinct from standard deep learning frameworks as it focuses on operator learning for multiphysics
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Awesome Deep Operator Network Frameworks GitHub Repositories
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- lululxvi/deepxde
lululxvi/deepxde
3,874Auf GitHub ansehenDeepXDE is a scientific machine learning library and deep learning PDE solver used to compute solutions for forward and inverse ordinary, partial, and integro-differential equations. It functions as a physics-informed neural network library that embeds physical laws and boundary conditions directly into the neural network loss function. The project provides a deep operator network framework for learning operator mappings that approximate relationships between functions in multiphysics problems. It is implemented as a multi-backend tensor library, allowing the system to switch between differen
Provides a dedicated framework for learning operator mappings that approximate function relationships in multiphysics.
Pythondeep-learningdeeponetjax
