Factual package intelligence from PyPI

mnist-dnn 0.1.3 package intelligence

Deep Neural Network from Scratch with MNIST dataset

pip install mnist-dnn

Current version
0.1.3
Python requirement
>=3.6
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
29.0 MiB
Release history
4 releases with files
Median release cadence
1 days

mnist-dnn dependencies

PyPI declares 25 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. colorama ==0.4.6
  2. contourpy ==1.0.7
  3. cycler ==0.11.0
  4. exceptiongroup ==1.1.1
  5. fonttools ==4.38.0
  6. iniconfig ==2.0.0
  7. kiwisolver ==1.4.4
  8. llvmlite ==0.39.1
  9. matplotlib ==3.6.3
  10. numba ==0.56.4
  11. numpy ==1.23.5
  12. opencv-python ==4.7.0.72
  13. packaging ==23.0
  14. pandas ==1.5.2
  15. Pillow ==9.4.0
  16. pluggy ==1.0.0
  17. py ==1.11.0
  18. pyparsing ==3.0.9

The compact report shows 18 of 25 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

mnist-dnn publishes 1 wheel and 1 source archive for version 0.1.3. Wheel platform tags: any.

Declared Python classifiers: 3.11, 3.6.

Release activity and sources

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