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generative-adversarial-network x

42 search results found

Fashion Mnist ⭐ 9,856

A MNIST-like fashion product database. Benchmark 👇

Keras Gan ⭐ 8,842

Keras implementations of Generative Adversarial Networks.

Tensorflow Generative Model Collections ⭐ 3,570

Collection of generative models in Tensorflow

Zhihu ⭐ 3,228

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

[CVPR2020] Adversarial Latent Autoencoders

Tensorflow Tutorials ⭐ 2,123

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Pytorch Generative Model Collections ⭐ 1,985

Collection of generative models in Pytorch version.

Advanced Deep Learning With Keras ⭐ 1,534

Advanced Deep Learning with Keras, published by Packt

Grenade ⭐ 1,430

Deep Learning in Haskell

Wgan Gp ⭐ 1,412

A pytorch implementation of Paper "Improved Training of Wasserstein GANs"

Tensorflow 101 ⭐ 1,100

learn code with tensorflow

Generative Adversarial Networks implemented in PyTorch and Tensorflow

Ganomaly ⭐ 767

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

Pytorch Wgan ⭐ 617

Pytorch implementation of DCGAN, WGAN-CP, WGAN-GP

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

Adversarial Examples Pytorch ⭐ 353

Implementation of Papers on Adversarial Examples

Pytorch Mnist Celeba Gan Dcgan ⭐ 302

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

Awesome Deep Vision Web Demo ⭐ 285

A curated list of awesome deep vision web demo

Datascience Interview Questions ⭐ 249

Datascience-Interview-Questions for Korean

Pytorch Mnist Celeba Cgan Cdcgan ⭐ 221

Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset

Awesome Tensorlayer ⭐ 212

A curated list of dedicated resources and applications

Gan Tutorial ⭐ 190

Simple Implementation of many GAN models with PyTorch.

Generative_adversarial_networks_101 ⭐ 190

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

Ssl_bad_gan ⭐ 157

Good Semi-Supervised Learning That Requires a Bad GAN

Keras Mnist Gan ⭐ 152

Simple Generative Adversarial Networks for MNIST data with Keras.

Tensorflow Mnist Gan Dcgan ⭐ 149

Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.

Keras Gan Animeface Character ⭐ 149

GAN example for Keras. Cuz MNIST is too small and there should be something more realistic.

Tensorflow Infogan ⭐ 148

🎎 InfoGAN: Interpretable Representation Learning

Gan Vae Pretrained Pytorch ⭐ 148

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

Lr Gan.pytorch ⭐ 145

Pytorch code for our ICLR 2017 paper "Layered-Recursive GAN for image generation"

Oneshottranslation ⭐ 126

Pytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018

Generate_to_adapt ⭐ 115

Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"

Capsule Gan ⭐ 111

Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".

Tf Exercise Gan ⭐ 109

Tensorflow implementation of different GANs and their comparisions

Tensorflow Mnist Cgan Cdcgan ⭐ 106

Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Pytorch implementation of Wasserstein GANs with Gradient Penalty

Generative Models ⭐ 92

Comparison of Generative Models in Tensorflow

Multiple Objects Gan ⭐ 81

Implementation for "Generating Multiple Objects at Spatially Distinct Locations" (ICLR 2019)

NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

Keras implementation of Balancing GAN (BAGAN) applied to the MNIST example.

Deep Learning Tensorflow Book Code ⭐ 78

[『텐서플로로 배우는 딥러닝』, 솔라리스, 영진닷컴, 2018] 도서의 소스코드입니다.

AdaGAN: greedy iterative procedure to train mixtures of GANs

S Lstm Gan Mnist ⭐ 73

This repository contains the source for the paper "S-LSTM-GAN: Shared recurrent neural networks with adversarial training"

Wgan Gp Anomaly ⭐ 73

gan, wgan-gp, anomaly detection, unsupervised, pytorch

Tensorflow Mnist Aae ⭐ 65

Tensorflow implementation of adversarial auto-encoder for MNIST

MisGAN: Learning from Incomplete Data with GANs

Dcgan Tensorflow ⭐ 65

A Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.

GANs with multiple Discriminators

Deepfakecapsulegan ⭐ 62

Using Capsule Networks in GANS to generate very realistic fake images that could perhaps be used for deepfakes

Gans 2.0 ⭐ 60

Generative Adversarial Networks in TensorFlow 2.0

Adversarial Autoencoder ⭐ 57

An adversarial autoencoder implementation in pytorch

Mnist Deep Learning ⭐ 50

Deep Learning codes for MNIST with detailed explanation

Generative_zoo ⭐ 50

Gan 70 Lines Of Julia ⭐ 47

A Knet implementation of MLP GAN for MNIST data.

Generative Model ⭐ 46

Repository for implementation of generative models with Tensorflow 1.x

Minimal_wgan ⭐ 44

A minimal implementation of Wasserstein GAN

Unsupervised representation learning with CapsNet based Generative Adversarial Networks

Implementation of some basic GAN architectures in Keras

PyTorch implementation of DCGAN

Relativistic Average Gan Keras ⭐ 36

The implementation of Relativistic average GAN with Keras

Cppn Gan Vae Cifar Tensorflow ⭐ 35

First attempt to use the previous CPPN-GAN-VAE model to train on CIFAR-10 images.

Pytorch Geometric Gan ⭐ 35

Code accompanying the paper "Geometric GAN"

Neural network library written in C and Javascript

Generative_continual_learning ⭐ 33

Progressive_growing_of_gans Pytorch ⭐ 32

A PyTorch 0.4 implementation of Progressive Growing of GANs for Improved Quality, Stability and Variability (https://arxiv.org/abs/1710.10196)

Numpy Nn Model ⭐ 32

Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.

Tensorflow code of the paper "Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game".

Wgan Tensorflow ⭐ 30

Wasserstein GAN TensorFlow Implementation

Gans N Gmms ⭐ 29

Official implementation of "On GANs and GMMs"

Cdcgan Keras ⭐ 29

Conditional Deep Convolutional GAN

Mnist_generative ⭐ 28

Reasonably-okay-performing implementation of a GAN and an adversarial autoencoder on MNIST.

Adda_mnist64 ⭐ 28

Adversarial Discriminative Domain Adaptation with MNIST 64x64 in Lasagne-Theano

Generative.models.tensorflow.v2 ⭐ 27

Inclusivegan ⭐ 26

The official Tensorflow implementation for ECCV'20 paper 'Inclusive GAN: Improving Data and Minority Coverage in Generative Models'

Tensorbag ⭐ 24

Collection of tensorflow notebooks tutorials for implementing the most important Deep Learning algorithms.

PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)

Wgan Gp Anomaly ⭐ 23

gan, wgan-gp, anomaly detection, unsupervised, pytorch

Dcgan Pytorch ⭐ 23

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

Mnist Gan ⭐ 22

A Generative Adversarial Network (GAN) for generating mnist digits

Simple Gan Base On Matlab ⭐ 22

simple Generative Adversarial Networks base on matlab

Mnist_inception_score ⭐ 22

Training a MNIST classifier, and use it to compute inception score (ICP)

Binarygan ⭐ 22

Code for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"

Gan Face Generator ⭐ 21

Generate Faces using GANs (Part of Udacity's DLFND)

F Anogan_with_pytorch ⭐ 20

Ss Infogan ⭐ 19

Semi-supervised InfoGAN

Gan Base On Matlab ⭐ 19

A implementation of GAN in matlab

Pytorch Examples ⭐ 19

MNIST Clasification with Pytorch

Dnn_from_scratch ⭐ 18

A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).

Fun With Mnist ⭐ 18

Playing with MNIST. Machine Learning. Generative Models.

Demo code for the paper ''Distributional Adversarial Networks''

Generator loss to reduce mode-collapse and to improve the generated samples quality.

Incremental Gan ⭐ 17

Just some experiments on GANs hallucinating data samples for an incremental learner.

Deepnetworks ⭐ 17

My implementations of deep neural networks for practice.

Alphagan ⭐ 17

A PyTorch implementation of alpha-GAN

Pytorch Mnist Gan ⭐ 15

Tensorflow implementation of Our APE-GAN

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