Factual package intelligence from PyPI

open-metric-learning 4.0.0 package intelligence

OML is a PyTorch-based framework to train and validate the models producing high-quality embeddings.

pip install open-metric-learning

Current version
4.0.0
Python requirement
<4.0,>=3.8
License
Apache License 2.0
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
359.4 KiB
Release history
37 releases with files
Median release cadence
15 days

open-metric-learning dependencies

PyPI declares 32 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch >=2.0
  2. numpy <2.0,>=1.24.4
  3. torchvision
  4. albumentations >1.0
  5. opencv-python-headless >=4.1.1
  6. pillow >=8.2
  7. pandas >=1.0
  8. matplotlib >3.5.2
  9. validators >=0.18.0
  10. gdown >=4.0
  11. tensorboard

The compact report shows 12 of 32 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

open-metric-learning publishes 1 wheel and 1 source archive for version 4.0.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11.

Release activity and sources

PyPI lists 37 releases with files. The first dated release is ; 11 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .