model-optimization
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
Optimize machine learning models for deployment using techniques like quantization and pruning with this toolkit.
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Free · no card · unsubscribe anytimeA toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
model-optimization has 1.6k stars on GitHub. It has been forked 348 times. model-optimization is written mainly in Python. It has been in active development since 2018. model-optimization is available under the Apache-2.0 license. Its main topics are compression, deep-learning, keras, machine-learning.
What is model-optimization?
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
Is model-optimization open source?
model-optimization is an open-source project. It is released under the Apache-2.0 license.
Is model-optimization free?
Yes. model-optimization is free and open source — you can use, modify and self-host it.
What license does model-optimization use?
model-optimization is available under the Apache-2.0 license.
What language is model-optimization written in?
model-optimization is written mainly in Python.
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