Factual package intelligence from PyPI
A suite of tools that users, both novice and advanced can use to optimize machine learning models for deployment and execution.
pip install tensorflow-model-optimization
PyPI declares 8 unique dependency rules for this release. Environment markers are shown when supplied by the project.
tensorflow-model-optimization publishes 1 wheel and 0 source archives for version 0.8.1. Wheel platform tags: any.
No version-specific Python classifiers are declared.
An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.
PyPI lists 32 releases with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .