Factual package intelligence from PyPI

spike-encoding 1.8.2 package intelligence

A spike-encoding repository for converting conventional data to spiking data. Includes trainable encoding methods and PyTorch compatibility, as well as integration of some common datasets.

pip install spike-encoding

Current version
1.8.2
Python requirement
>=3.10
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
64.5 KiB
Release history
10 releases with files
Median release cadence
0 days

spike-encoding dependencies

PyPI declares 10 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. colorama >=0.4.6
  2. gymnasium >=1.2.0
  3. h5py >=3.14.0
  4. joblib >=1.5.2
  5. optuna >=4.5.0
  6. pandas >=2.3.2
  7. scikit-learn >=1.7.1
  8. torch >=2.8.0
  9. torchmetrics >=1.8.2
  10. tqdm >=4.67.1

Compatibility and release files

spike-encoding publishes 1 wheel and 1 source archive for version 1.8.2. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: license, project URL. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 10 releases with files. The first dated release is ; 10 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

The project does not publish external project URLs in its PyPI metadata.