Factual package intelligence from PyPI

vindy 1.0.1 package intelligence

AESINDy is a Python package for automated system identification of low-dimensional systems combining autoencoders and SINDy.

pip install vindy

Current version
1.0.1
Python requirement
>=3.11
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
86.6 KiB
Release history
6 releases with files
Median release cadence
45 days

vindy dependencies

PyPI declares 11 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. matplotlib >=3.8
  2. numpy <2.0,>=1.26
  3. scikit_learn >=1.2
  4. scipy >=1.13
  5. sympy >=1.12
  6. tensorflow <2.19,>=2.15
  7. tensorflow_probability >=0.23
  8. tensorflow_model_optimization >=0.8
  9. tf-keras >=2.15
  10. imageio >=2.30

Compatibility and release files

vindy publishes 1 wheel and 1 source archive for version 1.0.1. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 6 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 .