84 Open source projects that are alternatives of or similar to LSGAN

Repository for implementation of generative models with Tensorflow 1.x

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

Deep Learning sample programs using PyTorch in C++

爬虫+脸部识别+DCGAN脸部自动生成

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

PyTorch Impl. of Prediction Optimizer (to stabilize GAN training)

Chainer implementation of Wasserstein GAN

This project is a semi-supervised approach to detect emotions on faces in-the-wild using GAN

Image completion using deep convolutional generative adversarial nets in tensorflow

Keras implementation of Deep Convolutional Generative Adversarial Networks

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

Semantic Image Inpainting

MXNet Implementation of DCGAN, Conditional GAN, pix2pix

PyTorch implementation of DCGAN, WGAN-GP and SNGAN.

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

Periodic Spatial Generative Adversarial Networks

Playing with MNIST. Machine Learning. Generative Models.

Image-to-image translation with conditional adversarial nets

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

Train DCGAN with TPUs on Google Cloud

DCGAN image generator 🖼️.

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

dcgan combined with vae in pytorch!

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.

DCGAN face generator 🧑.

Implementation of Conditional Generative Adversarial Networks in PyTorch

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

Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking

DCGAN LSGAN WGAN-GP DRAGAN PyTorch

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

A deep generative model of 3D volumetric shapes

Gathers Tensorflow deep learning models.

Tensorflow implementation of different GANs and their comparisions

Simple Pytorch implementations of most used Generative Adversarial Network (GAN) varieties.

wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

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

Simple Implementation of many GAN models with PyTorch.

MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN

TensorFlow implementations of Wasserstein GAN with Gradient Penalty (WGAN-GP), Least Squares GAN (LSGAN), GANs with the hinge loss.

GAN models with Anime.

A DCGAN that generate Cat pictures 🐱‍💻

PyTorch Implementation of DCGAN trained on the CelebA dataset.

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

Porting pytorch dcgan on FloydHub

Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Translate text to image in Keras using GAN and Word2Vec as well as recurrent neural networks

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

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

Awesome Generative Adversarial Networks with tensorflow

Improving MMD-GAN training with repulsive loss function

DCGAN implementation by TensorFlow

Applied several Generative Adversarial Networks (GAN) techniques such as: DCGAN, WGAN and StyleGAN to generate Anime Faces and Handwritten Digits.

Least Squares Generative Adversarial Network implemented in Chainer

여러가지 유명한 신경망 모델들을 제공합니다. (DCGAN, VAE, Resnet 등등)

A implementation of DCGAN (Deep Convolutional Generative Adversarial Networks) for CIFAR10 image

Resources and Implementations of Generative Adversarial Nets which are focusing on how to stabilize training process and generate high quality images: DCGAN, WGAN, EBGAN, BEGAN, etc.