A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (p…

This repository contains the models and training scripts used in the papers: "Quantizing Spiking Neural Networks with Integers" (ICONS 2020) and "Memory Organization for Energy-Efficient Learning a…

AFP is a hardware-friendly quantization framework for DNNs, which is contributed by Fangxin Liu and Wenbo Zhao.

[CVPR-ECV 2023] CFDP: Common Frequency Domain Pruning

Efficient computing methods developed by Huawei Noah's Ark Lab

BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models