A library for solving differential equations with PINNs and DeepONets
Project description
PinnDE
Physics Informed Neural Networks for Differential Equations (PinnDE) is an open-source library in Python 3 for solving ordinary and partial differential equations (ODEs and PDEs) using both physics informed neural networks (PINNs) and deep operator networks (DeepONets). The goal of PinnDE is to provide a user-friendly library as an alternative to the more powerful but more complex alternatives. This library provides simple, user-friendly interfacing of solving methods which can easily be used in collaboration with non-profficent users of python or the library, where collaborators should be able to understand the contents of the code quickly and without having to learn the library themselves.
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