Package · PyPI

tensorflow-model-optimization

PyPI · v0.8.1 · Apache 2.0

A suite of tools that users, both novice and advanced can use to optimize machine learning models for deployment and execution.

Install

pip install tensorflow-model-optimization

Adoption

Adoption
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Popularity
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Dependents
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Maintenance
0.49
DerivedRelease cadence and recency, 0 to 1
Releases per year
4.6
32 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
v0.8.1
32 versions
First published
MAY 2, 2019
Last release
MAY 12, 2026
6mo ago
Licence
Apache 2.0

Repository

In the Crest catalog

tensorflow/model-optimization

A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

Stars
1.6K
Forks
348
Language
Python
Last push
23d ago
Last release
6mo ago

Linked by the package’s own registry metadata.GitHub (opens in a new tab)

Dependencies latest version · v0.8.1

Runtime 8

  • absl-py~=1.2
  • dm-tree~=0.1.1
  • enum34~=1.1
  • mockAny version
  • numpy>=1.23
  • scipyAny version
  • six~=1.14
  • tf-keras>=2.14.1

Related news

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