Metadata-Version: 2.1
Name: flowws-structure-pretraining
Version: 0.1.0
Summary: Stage-based scientific workflows for pretraining deep learning models on self-assembly data
Home-page: UNKNOWN
Author: Matthew Spellings
Author-email: mspells@vectorinstitute.ai
License: MIT
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: flowws
Requires-Dist: flowws-keras-experimental
Requires-Dist: freud-analysis
Requires-Dist: garnett
Requires-Dist: geometric-algebra-attention
Requires-Dist: gtar
Requires-Dist: pyriodic-structures
Requires-Dist: rowan
Provides-Extra: analysis
Requires-Dist: plato-draw ; extra == 'analysis'
Requires-Dist: pynndescent ; extra == 'analysis'
Requires-Dist: scikit-learn ; extra == 'analysis'
Requires-Dist: umap-learn ; extra == 'analysis'
Provides-Extra: pyriodic
Requires-Dist: pyriodic-aflow ; extra == 'pyriodic'


# Flowws Modules for Self-supervised Pretraining

`flowws-structure-pretraining` is a set of
[flowws](https://flowws.readthedocs.io) modules to train machine
learning models on self-supervised pretraining tasks.

