torchmd

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1.0.2 torchmd-1.0.2-py3-none-any.whl

Wheel Details

Project: torchmd
Version: 1.0.2
Filename: torchmd-1.0.2-py3-none-any.whl
Download: [link]
Size: 26253
MD5: 94bc7fc371be620f4fe1d75841e37556
SHA256: 3192a49705c6048987ac7fa8c10c7c2fafa9075b4c981428ab07747dfd6ec942
Uploaded: 2024-02-19 09:19:45 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: torchmd
Version: 1.0.2
Summary: TorchMD. Molecular dynamics with pytorch
Author-Email: Acellera <info[at]acellera.com>
Project-Url: homepage, https://github.com/torchmd/torchmd/
Project-Url: repository, https://github.com/torchmd/torchmd/
License: Copyright (c) 2020 Acellera Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Requires-Dist: pyyaml
Requires-Dist: tqdm
Requires-Dist: moleculekit
Requires-Dist: pandas
Requires-Dist: networkx
Requires-Dist: scipy
Description-Content-Type: text/markdown
License-File: LICENSE.md
[Description omitted; length: 2421 characters]

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top_level.txt

torchmd