Metadata-Version: 2.1
Name: AutoPhysLearn
Version: 0.1.0
Summary: A python package for physics constrained machine learning by the M3-learning research group at Drexel University
Home-page: https://github.com/pyscaffold/pyscaffold/
Author: jagar2
Author-email: jca92@drexel.edu
License: MIT
Project-URL: Documentation, https://pyscaffold.org/
Platform: Linux
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python
Requires-Python: >=3.9
Description-Content-Type: text/x-rst; charset=UTF-8
License-File: LICENSE.txt
Requires-Dist: importlib-metadata; python_version > "3.9"
Requires-Dist: torch
Requires-Dist: numpy
Requires-Dist: m3learning-util
Provides-Extra: testing
Requires-Dist: setuptools; extra == "testing"
Requires-Dist: pytest; extra == "testing"
Requires-Dist: pytest-cov; extra == "testing"

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=============
AutoPhysLearn
=============


    A package for building and training physics constrained neural networks. 


A package for building and training physics constrained neural networks. This package is designed to simplify the design, development, and training of physics-constrained neural networks for a variety of scientific machine learning tasks.


