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

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

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.

🐆 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