556 Open source projects that are alternatives of or similar to Tf.gans Comparison

Simple Implementation of many GAN models with PyTorch.

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

Tensorflow implementation of different GANs and their comparisions

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

Awesome Generative Adversarial Networks with tensorflow

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

Collection of generative models in Pytorch version.

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

Repository for implementation of generative models with Tensorflow 1.x

Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)

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DCGAN Implementation using PyTorch in both C++ and Python

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

Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"

DCGAN LSGAN WGAN-GP DRAGAN Tensorflow 2

GANs Implementations in Keras

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

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

Collection of generative models in Tensorflow

Study Friendly Implementation of DCGAN in Tensorflow

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

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

A Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.

Chainer implementation of Wasserstein GAN

Synthetic Data Generation for tabular, relational and time series data.

DCGAN image generator 🖼️.

A DCGAN that generate Cat pictures 🐱‍💻

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

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

Generate cat images with neural networks

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

Image-to-Image Translation in PyTorch

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

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

Interactive Image Generation via Generative Adversarial Networks

Playing with MNIST. Machine Learning. Generative Models.

Pure tensorflow implementation of progressive growing of GANs

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"

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

A minimal implementaion (less than 150 lines of code with visualization) of DCGAN/WGAN in PyTorch with jupyter notebooks

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

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

Chainer implementation of recent GAN variants

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

GAN in Tensorflow to be run via Linux command line

Pytorch implementation of Wasserstein GANs with Gradient Penalty

Pytorch official implementation of Anime to Real Clothing: Cosplay Costume Generation via Image-to-Image Translation.

Generate Cartoon Images using Generative Adversarial Network

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

Unsupervised Anomaly Detection with Generative Adversarial Networks on MIAS dataset

EigenGAN: Layer-Wise Eigen-Learning for GANs (ICCV 2021)

CoMoGAN: continuous model-guided image-to-image translation. CVPR 2021 oral.

Chainer implementation of the Wesserstein GAN

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

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

[CVPR2020] Adversarial Latent Autoencoders