Metadata-Version: 2.4
Name: metatensor-learn
Version: 0.5.0
Summary: Building blocks for the atomistic machine learning models based on PyTorch and NumPy
Author: Guillaume Fraux, Rohit Goswami, Philip Loche, Filippo Bigi, Joseph W. Abbott, Davide Tisi, Alexander Goscinski, Michele Ceriotti
License-Expression: BSD-3-Clause
Project-URL: homepage, https://docs.metatensor.org/latest/
Project-URL: documentation, https://docs.metatensor.org/latest/
Project-URL: repository, https://github.com/metatensor/metatensor
Project-URL: changelog, https://docs.metatensor.org/latest/learn/CHANGELOG.html
Keywords: machine learning,molecular modeling
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: POSIX
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Chemistry
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.10
Description-Content-Type: text/x-rst
License-File: LICENSE
License-File: AUTHORS
Requires-Dist: metatensor-operations<0.6,>=0.5.0
Requires-Dist: metatensor-core<0.3,>=0.2.0
Dynamic: author
Dynamic: license-file
Dynamic: requires-dist

metatensor-learn
=====================

This package contains building blocks for the atomistic machine learning models based on PyTorch and NumPy.
