Factual package intelligence from PyPI

aphin 1.1 package intelligence

Autoencoder-based port-Hamiltonian Identification Networks (ApHIN) is a Python package for structure-preserving model order reduction and system identification of port-Hamiltonian systems.

pip install aphin

Current version
1.1
Python requirement
>=3.11
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
244.3 KiB
Release history
4 releases with files
Median release cadence
168 days

aphin dependencies

PyPI declares 15 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. matplotlib ==3.9
  2. numpy >=1.21.4
  3. scikit_learn >=1.2
  4. scikit_optimize >=0.10
  5. scipy >=1.10
  6. tensorflow >=2.15
  7. tensorflow_probability >=0.24
  8. tensorflow_model_optimization >=0.7
  9. tf-keras >=2.16
  10. PyYAML >=6
  11. pandas >=1.3.4
  12. natsort >=8.4.0
  13. tqdm >=4.66.2
  14. pymor >=2023.2.0
  15. visualizer-3d >=0.3

Compatibility and release files

aphin publishes 1 wheel and 1 source archive for version 1.1. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 4 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .