Metadata-Version: 2.1
Name: pydewey
Version: 0.3.2
Summary: Dewey — a fast reproducible training automation tool for MLOps pipelines.
Home-page: https://github.com/dbuzinski/dewey
Author: David Buzinski
Author-email: davidbuzinski@gmail.com
Maintainer: David Buzinski
Maintainer-email: davidbuzinski@gmail.com
License: Apache License, Version 2.0
Project-URL: Bug Tracker, https://github.com/dbuzinski/dewey/issues
Project-URL: Source Code, https://github.com/dbuzinski/dewey
Classifier: Development Status :: 3 - Alpha
Classifier: Programming Language :: Python
Requires-Python: >=3.8
Provides-Extra: pytorch
Requires-Dist: torch (>=2.1.0) ; extra == 'pytorch'
Provides-Extra: pytorch-checkpoints
Requires-Dist: torch (>=2.1.0) ; extra == 'pytorch-checkpoints'
Provides-Extra: pytorch-tensorboard
Requires-Dist: torch (>=2.1.0) ; extra == 'pytorch-tensorboard'
Requires-Dist: tensorboard (>=2.13.0) ; extra == 'pytorch-tensorboard'
Provides-Extra: tensorflow
Requires-Dist: tensorflow (>=2.13.0) ; extra == 'tensorflow'
Provides-Extra: tensorflow-checkpoints
Requires-Dist: tensorflow (>=2.13.0) ; extra == 'tensorflow-checkpoints'
Provides-Extra: training-progress
Requires-Dist: alive-progress (>=3.1.5) ; extra == 'training-progress'

Dewey — a fast reproducible training automation tool for MLOps pipelines.

Dewey is a machine learning automation tool written to create consistent reproducible ways to train models 
in a framework agnostic way. It allows providing a training specification, and the Dewey training framework 
takes care of all of the standard boilerplate code involving writing training loops, monitoring & metrics, 
managing model checkpoints, and more. Please note that this tool is in early stages of development and is 
prone to rapid updates and breaking API changes.
