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0.0.3 canonical_sets-0.0.3-py3-none-any.whl

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Project: canonical-sets
Version: 0.0.3
Filename: canonical_sets-0.0.3-py3-none-any.whl
Download: [link]
Size: 27550
MD5: 438e0f1fa6d8f30f0899de03db27aa78
SHA256: 833d682fab4ee37d6ebd20710b615235cc86f39b5943b7d1e63ce3a8960b191c
Uploaded: 2023-02-03 13:20:27 +0000

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METADATA

Metadata-Version: 2.1
Name: canonical-sets
Version: 0.0.3
Summary: Exposing Algorithmic Bias with Canonical Sets.
Author: Integrated Intelligence Lab
Maintainer: Andres Algaba
Maintainer-Email: andres.algaba[at]vub.be
Home-Page: https://data.research.vub.be/
Project-Url: Repository, https://github.com/Integrated-Intelligence-Lab/canonical_sets
License: MIT
Keywords: fairness,bias,inverse design,generative models,interpretability,python
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Python: >=3.8,<3.11
Requires-Dist: ctgan (>=0.7.0)
Requires-Dist: matplotlib (>=3.5.2)
Requires-Dist: numpy (>=1.22)
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Requires-Dist: tensorflow-macos (<2.11,>=2.9.1); sys_platform == "darwin" and platform_machine == "arm64"
Requires-Dist: torch (>=1.11.0)
Requires-Dist: tqdm (>=4.64.0)
Description-Content-Type: text/x-rst
[Description omitted; length: 8703 characters]

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