cutting-models

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

Awesome Knowledge Distillation

Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.

An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

A curated list of neural network pruning resources.

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.

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego

Efficient computing methods developed by Huawei Noah's Ark Lab