A MNIST-like fashion product database. Benchmark 👇
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Updated
Jun 13, 2022 - Python
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
LSTM, GRU cell implementation from scratch in tensorflow
Clothing detection dataset
6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"
Implementation of Densely Connected Convolutional Network with Keras and TensorFlow.
Clothing detection dataset
Generative Adversarial Networks in TensorFlow 2.0
pytorch implementation of the deepfashion architecture (https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Liu_DeepFashion_Powering_Robust_CVPR_2016_paper.pdf)
Zalando's article images Recognition using Convolutional Neural Networks in Python with Keras.
A tensorflow model for segmentation of fashion items out of multiple product images
Fashion Mnist image classification using cross entropy and Triplet loss
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