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#

network-compression

Here are 33 public repositories matching this topic...

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

  • UpdatedNov 25, 2025
  • 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.

  • UpdatedNov 28, 2025
  • Python

Official PyTorch implementation of "A Comprehensive Overhaul of Feature Distillation" (ICCV 2019)

  • UpdatedJun 23, 2020
  • Python

Group Fisher Pruning for Practical Network Compression(ICML2021)

  • UpdatedMay 24, 2023
  • Python

Neural Network Quantization & Low-Bit Fixed Point Training For Hardware-Friendly Algorithm Design

  • UpdatedDec 18, 2020

Using ideas from product quantization for state-of-the-art neural network compression.

  • UpdatedAug 14, 2021
  • Python

Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)

  • UpdatedSep 9, 2019
  • Python

Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)

  • UpdatedSep 9, 2019
  • Python

Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.

  • UpdatedMar 28, 2022
  • Python

This is the official implementation of "DHP: Differentiable Meta Pruning via HyperNetworks".

  • UpdatedMar 28, 2022
  • Python

Pytorch implemenation of "Learning Filter Basis for Convolutional Neural Network Compression" ICCV2019

  • UpdatedMar 28, 2022
  • Python

💍 Efficient tensor decomposition-based filter pruning

  • UpdatedJul 23, 2025
  • Jupyter Notebook

Deep Neural Network Compression based on Student-Teacher Network

  • UpdatedJul 6, 2023
  • Python

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