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network-quantization

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AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

  • Updated Aug 28, 2026
  • Python

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.

  • Updated Aug 20, 2026
  • Python

Winner solution of mobile AI (CVPRW 2021).

  • Updated May 14, 2022
  • Python

Binarize convolutional neural networks using pytorch 🔥

  • Updated Apr 26, 2022
  • Python

Pytorch implementation of our paper accepted by NeurIPS 2020 -- Rotated Binary Neural Network

  • Updated Dec 30, 2022
  • Python

Proximal Mean-field for Neural Network Quantization

  • Updated Apr 9, 2020
  • Python

Caffe implementation of "Learning Compression from Limited Unlabeled Data" (ECCV2018).

  • Updated Feb 26, 2019
  • Python

[T-PAMI 2022] Quantformer: Learning Extremely Low-precision Vision Transformers

  • Updated Mar 5, 2023
  • Python

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