Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
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
All the code for GhostNet is distributed here.
This project includes multiple models, loss functions, optimizers and image augmentations for image classification task
PyTorch image classifier combining ConvNeXt, ECA, and Ghost modules on CIFAR-100, achieving 79.45% accuracy with a lightweight architecture.