deeperwin

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1.1.0 deeperwin-1.1.0-py3-none-any.whl

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Project: deeperwin
Version: 1.1.0
Filename: deeperwin-1.1.0-py3-none-any.whl
Download: [link]
Size: 116132
MD5: c601c36ea95fb1696bede0c5244c4978
SHA256: d09657c4d070b4061011170174101ddb88a686345d234709cea8f200e27900f0
Uploaded: 2021-12-14 10:46:11 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: deeperwin
Version: 1.1.0
Summary: A JAX based framework to calculate deep-learning VMC solutions to the Schrödinger equation
Author: Michael Scherbela, Leon Gerard, Rafael Reisenhofer
Author-Email: deeperwin.datascience[at]univie.ac.at
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Requires-Dist: jax
Requires-Dist: jaxlib
Requires-Dist: pyscf
Requires-Dist: h5py (==3.2.1)
Requires-Dist: ruamel.yaml
Requires-Dist: pydantic
Requires-Dist: matplotlib
Requires-Dist: pandas
Requires-Dist: parse
Requires-Dist: networkx
Requires-Dist: ordered-set
Requires-Dist: wandb
Requires-Dist: sphinx; extra == "full"
Requires-Dist: sphinx-rtd-theme; extra == "full"
Requires-Dist: pytest; extra == "full"
Provides-Extra: full
Description-Content-Type: text/markdown
[Description omitted; length: 1735 characters]

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top_level.txt

deeperwin

entry_points.txt

deeperwin = deeperwin.main:main