Factual package intelligence from PyPI

deeptuner 0.2.0 package intelligence

A package for fine-tuning deep learning models with Siamese architecture and triplet loss

pip install deeptuner

Current version
0.2.0
Python requirement
>=3.7
License
BSD License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
32.5 KiB
Release history
10 releases with files
Median release cadence
0 days

deeptuner dependencies

PyPI declares 9 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. tensorflow >=2.12.0
  2. numpy >=1.21.0
  3. scikit-learn >=1.0.0
  4. Pillow >=9.0.0
  5. wandb >=0.15.0
  6. efficientnet >=1.0.0
  7. facenet-pytorch >=2.5.0
  8. requests >=2.31.0
  9. tqdm >=4.65.0

Compatibility and release files

deeptuner publishes 1 wheel and 1 source archive for version 0.2.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.7, 3.8, 3.9.

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 .