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optax

Google DeepMindgithub.com/google-deepmind/optax

A gradient processing and optimization library in JAX.

quality64

Updated 4 h ago · first seen 11 Sept 2026

lib_01M29AC118S4FJS3XXM3QQ0S3P

Version
0.2.8
T2 · 4 h ago
Released
20 Mar 2026
T2 · 4 h ago
License
Apache Software License
T2 · 4 h ago

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14 claims · 14 properties

Licenselicense1

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Apache Software LicensecurrentcurrentPyPI public package metadataT2mediumdeterministic

Repositoryrepository_url1

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https://github.com/google-deepmind/optaxcurrentcurrentPyPI public package metadataT2mediumdeterministic

Descriptiondescription1

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A gradient processing and optimization library in JAX.currentcurrentPyPI public package metadataT2mediumdeterministic

Documentationdocs_url1

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https://optax.readthedocs.io/currentcurrentPyPI public package metadataT2mediumdeterministic

Homepagehomepage1

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https://github.com/google-deepmind/optaxcurrentcurrentPyPI public package metadataT2mediumdeterministic

Latest releaselatest_release_at1

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20 Mar 2026currentcurrentPyPI public package metadataT2mediumdeterministic

Latest versionlatest_version1

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0.2.8currentcurrentPyPI public package metadataT2mediumdeterministic

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26currentcurrentPyPI public package metadataT2mediumdeterministic

PyPIpypi1

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optaxcurrentcurrentPyPI public package metadataT2mediumdeterministic

Pypi licensepypi_license1

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Apache Software LicensecurrentcurrentPyPI public package metadataT2mediumdeterministic

Pypi release atpypi_release_at1

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20 Mar 2026currentcurrentPyPI public package metadataT2mediumdeterministic

Pypi urlpypi_url1

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https://pypi.org/project/optax/currentcurrentPyPI public package metadataT2mediumdeterministic

Pypi versionpypi_version1

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0.2.8currentcurrentPyPI public package metadataT2mediumdeterministic

Requires pythonrequires_python1

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>=3.10currentcurrentPyPI public package metadataT2mediumdeterministic

Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →