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gotennet-pytorch

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Project: gotennet-pytorch
Version: 0.1.4
Filename: gotennet_pytorch-0.1.4-py3-none-any.whl
Download: [link]
Size: 10518
MD5: 13faae455e57017928e3b5ebf5823a6d
SHA256: 479bbb30014ba07c5ae58d19838c2a64bc09a60ef912593db6d4709a018348e1
Uploaded: 2024-12-23 15:43:43 +0000

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METADATA · WHEEL · RECORD

METADATA

Metadata-Version: 2.4
Name: gotennet-pytorch
Version: 0.1.4
Summary: GotenNet in Pytorch
Author-Email: Phil Wang <lucidrains[at]gmail.com>
Project-Url: Homepage, https://pypi.org/project/gotennet-pytorch/
Project-Url: Repository, https://github.com/lucidrains/gotennet-pytorch
License: MIT License Copyright (c) 2024 Phil Wang 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.
Keywords: artificial intelligence,attention mechanism,deep learning,molecules,se3 equivariance,transformers
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.8
Requires-Dist: e3nn
Requires-Dist: einops (>=0.8.0)
Requires-Dist: einx (>=0.3.0)
Requires-Dist: jaxtyping
Requires-Dist: torch (>=2.4)
Requires-Dist: numpy; extra == "examples"
Requires-Dist: tqdm; extra == "examples"
Provides-Extra: examples
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 1627 characters]

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