96 Open source projects that are alternatives of or similar to Pytorch Gan Collections

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

GitHub repo for my Tensorflow World hackathon submission

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

Gathers Tensorflow deep learning models.

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

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

Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"

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

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

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

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

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

Pure tensorflow implementation of progressive growing of GANs

dcgan combined with vae in pytorch!

Improving MMD-GAN training with repulsive loss function

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

Implementation of Conditional Generative Adversarial Networks in PyTorch

speech enhancement GAN on waveform/log-power-spectrum data using Improved WGAN

MXNet Implementation of DCGAN, Conditional GAN, pix2pix

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

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

Keras model and tensorflow optimization of 'improved Training of Wasserstein GANs'

Playing with MNIST. Machine Learning. Generative Models.

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

A DCGAN that generate Cat pictures 🐱‍💻

DCGAN image generator 🖼️.

Image completion using deep convolutional generative adversarial nets in tensorflow

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

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

DCGAN implementation by TensorFlow

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.

DCGAN face generator 🧑.

Semantic Image Inpainting

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

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

Collection of generative models in Pytorch version.