Quick-Start

The neuralop library aims at providing you all the tools to easily use, build and train neural operators for your own applications and learn mapping between function spaces, in PyTorch.

Here are the main components of the library:

Module	Description
`neuralop`	Main library
`neuralop.models`	Full ready-to-use neural operators
`neuralop.layers`	Individual layers to build neural operators
`neuralop.datasets`	Convenience PyTorch data loaders for PDE datasets
`neuralop.training`	Utilities to train neural operators end-to-end