This repository provides implementations of efficient neural network architectures for computer vision. It includes GhostNet and GhostNetV2 (model compression via cheap operations), TNT (Transformer in Transformer for vision), WaveMLP (MLP-based architecture), and ViG (Vision Graph Neural Network). Models are available in both PyTorch and MindSpore frameworks, with pretrained weights for image classification tasks.