This repository provides a Torch implementation of the ResNeXt algorithm for image classification, based on the paper by Xie et al. The architecture constructs networks by repeating building blocks that aggregate a set of transformations with the same topology, exposing a new dimension called cardinality. The code is based on fb.resnet.torch and includes pretrained ImageNet models.