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#

quantized-neural-network

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A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

  • UpdatedJun 19, 2021

Code for "Quantized Densely Connected U-Nets for Efficient Landmark Localization" (ECCV 2018) and "CU-Net: Coupled U-Nets" (BMVC 2018 oral)

  • UpdatedAug 16, 2021
  • Python

Quantized Neural Networks - networks trained for inference at arbitrary low precision.

  • UpdatedNov 28, 2017
  • Python

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