Popular GitHub Repositories for Quantization Aware Training

YOLO ModelCompression MultidatasetTraining

A model compression and acceleration toolbox based on pytorch.

0??1??? BitNet-Transformers: Huggingface Transformers Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch with Llama(2) Architecture

针对pytorch模型的自动化模型结构分析和修改工具集，包含自动分析模型结构的模型压缩算法库

This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.

Notes on quantization in neural networks

Quantization-aware training with spiking neural networks

3rd place solution for NeurIPS 2019 MicroNet challenge

FakeQuantize with Learned Step Size(LSQ+) as Observer in PyTorch

Code for paper 'Multi-Component Optimization and Efficient Deployment of Neural-Networks on Resource-Constrained IoT Hardware'

A tutorial of model quantization using TensorFlow

Code for the ISCAS23 paper "The Hardware Impact of Quantization and Pruning for Weights in Spiking Neural Networks"

BASQ: Branch-wise Activation-clipping Search Quantization for Sub-4-bit Neural Networks, ECCV 2022

An example to quantize MobileNetV2 trained on CIFAR-10 dataset with PyTorch FX graph mode quantization

quantization example for pqt & qat

all methods of pytorch quantization based on resnet50

Submission name: QualcommAI-EfficientNet. MicroNet Challenge (NeurIPS 2019) submission - Qualcomm AI Research

Quantization for Object Detection in Tensorflow 2.x

Low-Precision Neural Networks for Classification on PYNQ with FINN

Code and resources for the paper: "Cognitive Radio Spectrum Sensing on the Edge: A Quantization-Aware Deep Learning Approach"