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 (papers, repositories) that are missed by the repo.

An Open-Source Library for Training Binarized Neural Networks

A toolbox for spectral compressive imaging reconstruction including MST (CVPR 2022), CST (ECCV 2022), DAUHST (NeurIPS 2022), BiSCI (NeurIPS 2023), HDNet (CVPR 2022), MST++ (CVPRW 2022), etc.

Highly optimized inference engine for Binarized Neural Networks

Tools and libraries to run neural networks in Minecraft ⛏️

Reference implementations of popular Binarized Neural Networks

Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"

Some recent Quantizing techniques on PyTorch

[ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binarization.

Contains code for Binary, Ternary, N-bit Quantized and Hybrid CNNs for low precision experiments.

Reproduction of "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization" for the Reproducibility challenge@NeurIPS19

Deep Learning Framework with a specialisation aimed for Binarized Neural Networks.

Neural Property Approximate Quantifier

Binarized Neural Network DoA estimation

The official repository for the paper LAB: Learnable Activation Binarizer for Binary Neural Networks.

Code implementation of our AISTATS'21 paper "Mirror Descent View for Neural Network Quantization"

An implementation of the Binarized Neural Networks

BNN verification dataset for Max-SAT Evaluation 2020 and MIPLIB 2024

My PhD thesis with all its source files, including all .tex files and images created, as well as the slides of my defense.

Progressive Neural Architecture Search coupled with Binarized CNNs to search for resource efficient and accurate architectures.