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0.0.3 pygradproject-0.0.3-py3-none-any.whl

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Project: pygradproject
Version: 0.0.3
Filename: pygradproject-0.0.3-py3-none-any.whl
Download: [link]
Size: 25327
MD5: 967a32e0002f8a51c2cd7a95068ba88c
SHA256: f680978359c199f039c187abb421ba8623bb464c031ece773163a687f4d6b393
Uploaded: 2024-12-06 02:03:25 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: pygradproject
Version: 0.0.3
Summary: Lightweight Automatic Differentiation in Python.
Author: Danila Kurganov
Author-Email: dan.kurg[at]gmail.com
Home-Page: https://github.com/baubels/pygrad
Project-Url: Documentation, https://baubels.github.io/pygrad/
Project-Url: Source Code, https://github.com/baubels/pygrad
Project-Url: Issue Tracker, https://github.com/baubels/pygrad/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Requires-Dist: numba (>=0.60.0)
Requires-Dist: numpy (==1.26.0)
Requires-Dist: opt_einsum (>=3.4.0)
Requires-Dist: dill; extra == "examples"
Requires-Dist: tqdm; extra == "examples"
Requires-Dist: pytest; extra == "dev"
Requires-Dist: sphinx; extra == "dev"
Requires-Dist: torch; extra == "dev"
Requires-Dist: dill; extra == "dev"
Requires-Dist: numpy (==1.26.0); extra == "dev"
Provides-Extra: examples
Provides-Extra: dev
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 2558 characters]

WHEEL

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top_level.txt

architectures
pygrad