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

PyTorch Implementation of InfoGAN

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

Capsule Network on Fashion MNIST dataset

Clothing detection dataset

The implementation of Relativistic average GAN with Keras

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

Implementation of Densely Connected Convolutional Network with Keras and TensorFlow.

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

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

Generative Adversarial Networks in TensorFlow 2.0

The Fashion-MNIST dataset and machine learning models.

Deep generative models implemented with TensorFlow 2.0: eg. Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), Deep Boltzmann Machine (DBM), Convolutional Variational Auto-Encoder (CVAE), Convolutional Generative Adversarial Network (CGAN)

Evaluation of fashion-MNIST with a simple cnn

Clothing detection dataset

Sparse Autoencoders using FashionMNIST dataset

This repo includes my solutions to the Coursera course offered by AWS titled "AWS Computer Vision: Getting Started with GluonCV", in addition to more tutorials and in-depth handson labs. Please 🌟 the repo if you like it ☝️ Create an Issue or preferably a PR for any improvement. 🚀

LSTM, GRU cell implementation from scratch in tensorflow

Graph Agglomerative Clustering Library

Source code for "Training Generative Adversarial Networks Via Turing Test".

Multivariate recurrent GANs for generating biomedical time-series given consistent dimensionality. Methodology involves drawing symmetries to adversarial image generation.

Implementation of various deep neural networks on fashion-mnist with PyTorch

Any data but iris 👁

"Capsule Networks against Medical Imaging Data Challenges" - LABELS@MICCAI 2018

Zalando's article images Recognition using Convolutional Neural Networks in Python with Keras.