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

项目注释+论文复现+算法竞赛+Pytorch实践

face recognition training project(pytorch)

Insightface Keras implementation

Object Classification Training Framework

QuarkDet lightweight object detection in PyTorch .Real-Time Object Detection on Mobile Devices.

73.6% GhostNet 1.0x pre-trained model on ImageNet

This is a project based on retinaface face detection, including ghostnet and mobilenetv3

This is a lightweight GAN developed for real-time deblurring. The model has a super tiny size and a rapid inference time. The motivation is to boost marker detection in robotic applications, however, you may use it for other applications definitely.

VoVNet, MobileNet, ShuffleNet, HarDNet, GhostNet, EfficientNet backbone networks and SKU-110K dataset for detectron2

🐆 A compiler from AI model to RTL (Verilog) accelerator in FPGA hardware with auto design space exploration for *AdderNet*

Frontend for tezos-faucet project

Backend for tezos-faucet project

This project includes multiple models, loss functions, optimizers and image augmentations for image classification task

ULTRAKILL Ghostnet

GhostNetV2: Enhance Cheap Operation with Long-Range Attention

TensorRT implementation of GhostNet

PyTorch implementation of GhostNet