Factual package intelligence from PyPI

litecnn 1.0.3 package intelligence

LiteCNN: Intuitive Python library for creating, training and visualizing convolutional neural networks. Features simplified CNN layer definition, automated training workflows, model visualization, and seamless Keras-to-ONNX conversion. Includes 15 pre-configured popular models fo

pip install litecnn

Current version
1.0.3
Python requirement
Not declared
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
15.5 KiB
Release history
3 releases with files
Median release cadence
0 days

litecnn dependencies

PyPI declares 6 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. tensorflow
  2. numpy
  3. matplotlib
  4. opencv-python
  5. tf2onnx
  6. onnx

Compatibility and release files

litecnn publishes 1 wheel and 1 source archive for version 1.0.3. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

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

Release activity and sources

PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .