This repository provides training code for the CIFAR10 dataset using PyTorch. It includes implementations of popular CNN architectures including ResNet variants, VGG, DenseNet, MobileNetV2, ResNeXt, and DenseNet. The project demonstrates model accuracy benchmarks ranging from 92.64% to 95.47% across different architectures, with DLA achieving the highest accuracy of 95.47%.