Package · PyPI

keras-applications

PyPI · v1.0.8 · MIT

Reference implementations of popular deep learning models

Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work

Install

pip install keras-applications

Adoption

Adoption
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Popularity
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Dependents
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Maintenance
0.09
DerivedRelease cadence and recency, 0 to 1
Releases per year
8.0
8 versions over its life

Growth by period

PyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.

7 days
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30 days
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90 days
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1 year
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Adoption history

Adoption history

PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.

Facts from the registry

Latest version
v1.0.8
8 versions
First published
JUN 1, 2018
Last release
MAY 30, 2019
7y ago
Licence
MIT

Repository

Not in the Crest catalog

keras-team/keras-applications (GitHub, opens in a new tab)

The catalog tracks GitHub repositories with more than 500 stars; this one has no Crest page, so its figures are not shown here.

Dependencies latest version · v1.0.8

Runtime 2

  • h5pyAny version
  • numpy>=1.9.1

Related news

No published news event mentions this package or its repository yet.