shanglianlm0525/PyTorch-Networks
A collection of PyTorch implementations of classical and lightweight CNN architectures for image classification and object detection.

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This repository contains reference implementations of various convolutional neural network architectures including classical models like AlexNet, VGG, and ResNet, lightweight models like MobileNet and ShuffleNet, and object detection networks like SSD. All implementations are built using the PyTorch deep learning framework.