Skip to main content

A package for simulating and learning pseudo-Hamiltonian systems. For further details, see https://arxiv.org/pdf/2206.02660.pdf and https://arxiv.org/abs/2304.14374

Project description

# phlearn Package for modelling pseudo-Hamiltonian systems with neural networks as described in [(Eidnes et al., 2022)](https://arxiv.org/pdf/2206.02660.pdf) for ODEs and [(Eidnes and Lye, 2023)](https://arxiv.org/pdf/2304.14374.pdf) for PDEs.

[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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

phlearn-1.1.2.tar.gz (48.4 kB view hashes)

Uploaded Source

Built Distribution

phlearn-1.1.2-py3-none-any.whl (99.8 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page