unlockNN

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2.0.3 unlockNN-2.0.3-py3-none-any.whl

Wheel Details

Project: unlockNN
Version: 2.0.3
Filename: unlockNN-2.0.3-py3-none-any.whl
Download: [link]
Size: 20563
MD5: 20a3cb6df166d0c9595352bdd2b6a33a
SHA256: e1ebe4d5814245d304125d3540b4063d140917a7666e5ead84121f1ec4df7990
Uploaded: 2022-07-05 18:25:16 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: unlockNN
Version: 2.0.3
Summary: Uncertainty quantification for neural network models of chemical systems.
Author: Alexander Moriarty
Author-Email: amoriarty14[at]gmail.com
Home-Page: https://github.com/a-ws-m/unlockNN
License: MIT
Keywords: keras,tensorflow,megnet,machine learning,uncertainty quantification
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Chemistry
Requires-Python: >=3.6
Requires-Dist: numpy (<=1.19.5)
Requires-Dist: pymatgen (<=2021.2.8)
Requires-Dist: megnet (>=1.1.4)
Requires-Dist: requests
Requires-Dist: pyarrow (>=1.0.1)
Requires-Dist: tensorflow (>=2.2)
Requires-Dist: tensorflow-probability (>=0.10.1)
Requires-Dist: typish; python_version < "3.8"
Requires-Dist: matminer (==0.6.5); extra == "compatible_matminer_version"
Provides-Extra: compatible_matminer_version
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 5106 characters]

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top_level.txt

unlocknn