Metadata-Version: 2.1
Name: schnetpack
Version: 2.0.3
Summary: SchNetPack - Deep Neural Networks for Atomistic Systems
Home-page: https://github.com/atomistic-machine-learning/schnetpack
Author: Kristof T. Schuett, Michael Gastegger, Stefaan Hessmann, Niklas Gebauer, Jonas Lederer
License: MIT
Requires-Python: >=3.6
Provides-Extra: test
License-File: LICENSE


        SchNetPack aims to provide accessible atomistic neural networks that can be
        trained and applied out-of-the-box, while still being extensible to custom 
        atomistic architectures
