csyhhu/Awesome-Deep-Neural-Network-Compression

Summary, Code for Deep Neural Network Quantization

Python

563

51 commits

updated Sep 1, 2026

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README

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Awesome Deep Neural Network Compression

Paper collection, Summary, Code for Deep Neural Network Compression, including:

Quantization,
Pruning (Unstructure, structure)
Distillation

and so on.

Paper:

By Topic:
- Quantization
- Pruning
- Efficient Model Design
- Network Architecture Search (NAS) for Model Compression
- Compression Meets Robustness (Adversarial)
- NLP Compression
- Differentiable Compression
- Large Pretraining Models: Including language, vision
By Conference:
- 2024
- 2023
- 2022
- 2021
- 2020
- 2019
- 2018
Survey
Related Topic:
- Optimization
- Meta Learning

Compression System:

Codes / Tools:

My Implementation: My re-implementation of state-of-the-art compression methods.

Summary:

My summary (slides) for network compression. Some papers are chosen to be represented.

Quantization Summary
Pruning Summary
Theory: From basic convex optimization to quantization

Significant stargazers

fxmarty

183 followers · starred Feb 2021

Jianfei Yang

156 followers · starred Nov 2019

Alexander Popkov

32 followers · starred Mar 2025

UnamedRus

39 followers · starred Oct 2022

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