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0.2.2 mmae-0.2.2-py2.py3-none-any.whl

Wheel Details

Project: mmae
Version: 0.2.2
Filename: mmae-0.2.2-py2.py3-none-any.whl
Download: [link]
Size: 24769
MD5: 3bf15d2598b8fd24da8197149f822fd3
SHA256: 2ba483d601db89dbd34ad8e7a19d15105a81ea097a48b2d79a1193474b609008
Uploaded: 2020-06-08 12:58:12 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: mmae
Version: 0.2.2
Summary: Package for multimodal autoencoders with Bregman divergences.
Author: Arno Onken
Author-Email: asnelt[at]asnelt.org
Home-Page: https://github.com/asnelt/mmae/
License: GPLv3+
Keywords: autoencoder multimodal deep learning bregman
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering
Requires-Dist: numpy
Requires-Dist: six
Requires-Dist: keras (>=2.3.0); extra == "keras"
Requires-Dist: tensorflow (>=2.0.0); extra == "tensorflow"
Requires-Dist: tensorflow-gpu (>=2.0.0); extra == "tensorflow-gpu"
Provides-Extra: keras
Provides-Extra: tensorflow
Provides-Extra: tensorflow-gpu
[Description omitted; length: 7150 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.33.6)
Root-Is-Purelib: true
Tag: py2-none-any
Tag: py3-none-any

RECORD

Path Digest Size
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mmae/bregman_divergences.py sha256=-X2djU3-tjNoq4zgSG6wtbRS4qg0SZbOAPbHYyrbGEg 6751
mmae/multimodal_autoencoder.py sha256=4yA_CDT_uLVfRQ2IfyI4c-vZTVDBDI3zL2n8-DahffY 32864
mmae-0.2.2.dist-info/LICENSE sha256=WJ7YI-moTFb-uVrFjnzzhGJrnL9P2iqQe8NuED3hutI 35141
mmae-0.2.2.dist-info/METADATA sha256=13_cx95V_tt3P3o3kLmxPJeiipxM1_WXX1xNHyY8wqM 8065
mmae-0.2.2.dist-info/WHEEL sha256=8zNYZbwQSXoB9IfXOjPfeNwvAsALAjffgk27FqvCWbo 110
mmae-0.2.2.dist-info/top_level.txt sha256=W_sW399Dgrdlb1oqf7LvzUoUgYPyIAoDNhceZ_mz4FM 5
mmae-0.2.2.dist-info/RECORD — —

top_level.txt

mmae