A MNIST-like fashion product database. Benchmark 👇

Collection of generative models in Tensorflow

Collection of generative models in Pytorch version.

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

Experiments for understanding disentanglement in VAE latent representations

Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)

PyTorch Implementation of InfoGAN

Capsule Network on Fashion MNIST dataset

Clothing detection dataset

Generative Adversarial Networks in TensorFlow 2.0

Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST

Clothing detection dataset

pytorch implementation of the deepfashion architecture (https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Liu_DeepFashion_Powering_Robust_CVPR_2016_paper.pdf)

Implementation of Densely Connected Convolutional Network with Keras and TensorFlow.

6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"

LSTM, GRU cell implementation from scratch in tensorflow

The implementation of Relativistic average GAN with Keras

A tensorflow model for segmentation of fashion items out of multiple product images

Sparse Autoencoders using FashionMNIST dataset