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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.
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 .