398 Open source projects that are alternatives of or similar to Gan Discussions

TensorFlow 2.0 library for distributed training, evaluation, model selection, and fast prototyping.

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Code for the paper "Adversarial Generator-Encoder Networks"

Generating Cat images using StyleGAN

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

A repository to keep track of all the code that I end up writing for my blog posts.

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

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DCGAN Implementation using PyTorch in both C++ and Python

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Focal Frequency Loss for Generative Models

[ACCV 2018 Oral] Dual Generator Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

Visualization of GAN training process

Study Friendly Implementation of DCGAN in Tensorflow

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

基于keras使用dcgan自动生成动漫头像

Compute FID scores with PyTorch.

VapourSynth Single Image Super-Resolution Generative Adversarial Network (GAN)

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Code to train and evaluate the GeNeVA-GAN model for the GeNeVA task proposed in our ICCV 2019 paper "Tell, Draw, and Repeat: Generating and modifying images based on continual linguistic instruction"

An extremely simple generative adversarial network, built with TensorFlow

pyTorch implementation of Spectral Normalization for Generative Adversarial Networks

Pytorch implementation of "DeepFlow: History Matching in the Space of Deep Generative Models"

Add colors to black and white images with neural networks (GANs).

Invert the color of MNIST images with PyTorch

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

Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis

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InfoGAN inspired neural network trained on zap50k images (using Tensorflow + tf-slim). Intermediate layers of the discriminator network are used to do image similarity.

TF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model

Slimmable Generative Adversarial Networks (AAAI 2021)

CPU/GPU/TPU implementation of the Fréchet Inception Distance

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implement infoGAN using pytorch

Pytorch implementations of most popular image-translation GANs, including Pixel2Pixel, CycleGAN and StarGAN.

learn code with tensorflow

A simple library that implements CLIP guided loss in PyTorch.

Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.

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

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DCGAN image generator 🖼️.

An implementation of CycleGan using TensorFlow

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Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

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