544 Open source projects that are alternatives of or similar to Pytorch-conditional-GANs

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

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

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

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

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

Voice Conversion using Cycle GAN's For Non-Parallel Data

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

Improving MMD-GAN training with repulsive loss function

Interactive Image Generation via Generative Adversarial Networks

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

Semantic Image Inpainting

MXNet Implementation of DCGAN, Conditional GAN, pix2pix

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

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

Chainer implementation of recent GAN variants

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

GANs Implementations in Keras

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

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

The Simplest DCGAN Implementation

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

Image-to-image translation with conditional adversarial nets

Awesome Generative Adversarial Networks with tensorflow

Pytorch deep learning face frontalization model

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

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

Collection of generative models in Pytorch version.

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

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

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

Torch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)

GAN in Tensorflow to be run via Linux command line

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

Repository for implementation of generative models with Tensorflow 1.x

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

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

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

DCGAN image generator 🖼️.

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

A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)

Using Bidirectional Generative Adversarial Networks to estimate Value-at-Risk for Market Risk Management using TensorFlow.

Tensorflow Implementation of the paper "Spectral Normalization for Generative Adversarial Networks" (ICML 2017 workshop)

This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.

Everything about Generative Adversarial Networks

The Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN"

Stacked Generative Adversarial Networks

this repo attemps to reproduce Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks(CycleGAN) use gluon reimplementation

FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery

GIF is a photorealistic generative face model with explicit 3D geometric and photometric control.

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

No description or website provided.

MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)

Semi-supervised GAN in "Improved Techniques for Training GANs"

Image-to-Image Translation in PyTorch

Assessing Generative Models via Precision and Recall (official repository)

Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)

On the "steerability" of generative adversarial networks

A sketch extractor for anime/illustration.

30 Days GANs Paper Reading