model-optimization and mct-model-optimization
These are complementary tools that address model optimization across different hardware contexts: TensorFlow Model Optimization is a general-purpose framework for Keras/TensorFlow models focusing on quantization and pruning, while MCT specializes in optimization under specific hardware constraints, making them useful together for comprehensive deployment pipelines.
About model-optimization
tensorflow/model-optimization
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
About mct-model-optimization
SonySemiconductorSolutions/mct-model-optimization
Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers advanced quantization and compression tools for deploying state-of-the-art neural networks.
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