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0.6.1 dival-0.6.1-py3-none-any.whl

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Project: dival
Version: 0.6.1
Filename: dival-0.6.1-py3-none-any.whl
Download: [link]
Size: 101592
MD5: 39b27bc56332f05165e9e7e0b5a99d4c
SHA256: 65b694083c9d76075b2ff623900b85140c43c0b6f5b55595cd8a5572ef062e39
Uploaded: 2021-04-16 12:22:40 +0000

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METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: dival
Version: 0.6.1
Summary: Deep Inversion Validation Library
Author: Johannes Leuschner
Author-Email: jleuschn[at]uni-bremen.de
Home-Page: https://github.com/jleuschn/dival
License: MIT
Requires-Dist: numpy (>=1.10)
Requires-Dist: pandas
Requires-Dist: odl
Requires-Dist: scikit-image
Requires-Dist: scikit-learn
Requires-Dist: hyperopt
Requires-Dist: tqdm
Requires-Dist: matplotlib
Requires-Dist: h5py
Requires-Dist: requests
Requires-Dist: packaging
Requires-Dist: tomosipo; extra == "direct_gpu_parallel_beam"
Requires-Dist: torch; extra == "torch_learned_reconstructors"
Requires-Dist: tensorboard; extra == "training_logs"
Provides-Extra: direct_gpu_parallel_beam
Provides-Extra: torch_learned_reconstructors
Provides-Extra: training_logs
[No description]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.36.2)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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dival-0.6.1.dist-info/RECORD — —

top_level.txt

dival