Factual package intelligence from PyPI

DeepSaki 1.0.1 package intelligence

DeepSaki is an add-on to TensorFlow. It provides a variaty of custom classes ranging from activation functions to entire models, helper functions to facilitate connectiong to your, compute HW and many more!

pip install deepsaki

Current version
1.0.1
Python requirement
>=3.10
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
1.2 MiB
Release history
5 releases with files
Median release cadence
78 days

DeepSaki dependencies

PyPI declares 8 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. tensorflow >=2.8
  2. numpy >=1.21.6
  3. tensorflow-addons >=0.21.0
  4. pandas
  5. matplotlib
  6. pydot
  7. opencv-contrib-python
  8. einops

Compatibility and release files

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

Declared Python classifiers: 3.10, 3.11, 3.12, 3.13.

Metadata completeness

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

Release activity and sources

PyPI lists 5 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 .