BSN

A large-scale face dataset for face parsing, recognition, generation and editing.

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

Classification with PyTorch.

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

Play deep learning with CIFAR datasets

Pretrained TorchVision models on CIFAR10 dataset (with weights)

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets