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Project: flexinet
Version: 0.0.4
Filename: flexinet-0.0.4-py3-none-any.whl
Download: [link]
Size: 17033
MD5: 12afb7dfefbc66f60cbb3955e1d2ad21
SHA256: dc3bcae959a328ec241eb214749481a881d71a94684c0f24a58e0ce62a88b894
Uploaded: 2022-07-26 14:12:11 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: flexinet
Version: 0.0.4
Summary: Flexible torch neural network architecture API
Author: Michael E. Vinyard - Harvard University - Massachussetts General Hospital - Broad Institute of MIT and Harvard
Author-Email: mvinyard[at]broadinstitute.org
Home-Page: https://github.com/mvinyard/flexinet
License: MIT
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Programming Language :: Python :: 3.6
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Requires-Python: >3.6.0
Requires-Dist: anndata (>=0.7.8)
Requires-Dist: numpy (>=1.17.0)
Requires-Dist: torch (>=1.10.1)
Requires-Dist: licorice-font (>=0.0.3)
Requires-Dist: geomloss (>=0.2.3)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 2829 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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flexinet-0.0.4.dist-info/RECORD — —

top_level.txt

flexinet