This repository provides faithful PyTorch implementations of ResNet architectures for CIFAR10 and CIFAR100 datasets, matching the layer counts and configurations specified in the original paper rather than using ImageNet-adapted versions from torchvision. It includes pretrained model weights and benchmark results showing test error rates that match or exceed the original paper’s reported figures across ResNet20 through ResNet1202 variants.