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Awesome GitHub RepositoriesNon-Uniform Quantization
Quantization techniques where the spacing between quantization points is optimized via learning.
Distinct from Model Quantization: Specific to non-uniform distributions optimized through back-propagation, distinct from general quantization.
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Awesome Non-Uniform Quantization GitHub Repositories
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- tencent/pocketflow
Tencent/PocketFlow
2,914在 GitHub 上查看PocketFlow is an integrated toolkit for deep learning model compression, distributed training, and mobile format optimization. It provides a system for reducing the size and complexity of neural networks to improve inference efficiency, featuring a dedicated engine for knowledge distillation and a mobile model optimizer. The framework differentiates itself through an automated hyperparameter tuning system that uses reinforcement learning and statistical models to determine optimal compression ratios and layer-wise bit allocation. It also includes a distributed training system that utilizes mu
Optimizes the distribution of quantization points through back-propagation to approximate full-precision network behavior.
Pythonautomlcomputer-visiondeep-learning
