NeuralOperator: A New Python Library for Learning Neural Operators in PyTorch

Operator learning is a transformative approach in scientific computing. It focuses on developing models that map functions to other functions, an essential aspect of solving partial differential equations (PDEs). Unlike traditional neural network tasks, these mappings operate in infinite-dimensional spaces, making them particularly suitable for scientific domains where real-world problems inherently exist in expansive mathematical […]

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