This repository provides a ResNet model implementation in TensorFlow, based on the Deep Residual Learning paper by He et al. It includes utilities to convert pretrained Caffe weights to TensorFlow format, supports fully convolutional inputs of any size, and aims to support training on CIFAR-10, CIFAR-100, and ImageNet datasets.