Metadata-Version: 2.1
Name: phlearn
Version: 1.0.0
Summary: A package for simulating and learning pseudo-Hamiltonian systems. For further details, see https://arxiv.org/pdf/2206.02660.pdf
Home-page: https://gitlab.sintef.no/hybrid-machine-learning/pseudo-Hamiltonian-neural-networks
Author: Sølve Eidnes
Author-email: solve.eidnes@sintef.no
License: MIT
Keywords: pseudo-Hamiltonian neural networks
Classifier: Development Status :: 5 - Production/Stable
License-File: LICENSE.txt
Requires-Dist: networkx
Requires-Dist: numpy
Requires-Dist: torch
Requires-Dist: torchaudio
Requires-Dist: torchvision
Requires-Dist: scipy
Requires-Dist: casadi
Requires-Dist: do-mpc

# phlearn
Package for modelling pseudo-Hamiltonian systems with neural networks as described in [(Eidnes et al. 2022)](https://arxiv.org/pdf/2206.02660.pdf).

[Documentation available here](https://pseudo-Hamiltonian-neural-networks.readthedocs.io/en/latest/)

- phlearn
    + phsystems
    + phnns
    + utils

phsystems implements classes and functionality for simulating pseudo-Hamiltonian systems.
phnns implements classes and functionality for learning and inference with pseudo-Hamiltonian neural networks.
