Popular GitHub Repositories for Qat

Brevitas: neural network quantization in PyTorch

More readable and flexible yolov5 with more backbone(gcn, resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer, etc) and (cbam，dcn and so on), and tensorrt

yolo model qat and deploy with deepstream&tensorrt

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.

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

Zero-label image classification via OpenCLIP knowledge distillation

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

QAT(quantize aware training) for classification with MQBench

mi-optimize is a versatile tool designed for the quantization and evaluation of large language models (LLMs). The library's seamless integration of various quantization methods and evaluation techniques empowers users to customize their approaches according to specific requirements and constraints, providing a high level of flexibility.

quantization example for pqt & qat

Build AI model to classify beverages for blind individuals

Quantization of Models : Post-Training Quantization(PTQ) and Quantize Aware Training(QAT)