The repository implements a deep learning approach that trades multiplication operations for additions in convolutional neural networks, significantly reducing computational cost. It provides training code for CIFAR and ImageNet classification benchmarks using ResNet and VGG architectures with the L1-norm distance metric, achieving competitive accuracy without any multiplication operations in convolution layers.