90 Open source projects that are alternatives of or similar to cyclegan_keras

PyTorch (and PyTorch Lightning) implementation of Neural Style Transfer, Pix2Pix, CycleGAN, and Deep Dream!

Keras implementation of CycleGAN using a tensorflow backend.

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

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

Re-implement CycleGAN in Tensorlayer

R interface to fast.ai

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

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

An implementation of CycleGan using TensorFlow

Voice Conversion by CycleGAN (语音克隆/语音转换)：CycleGAN-VC3

Style transfer for between real photos and anime images using CycleGAN

PyTorch implementation of CycleGAN

Lightweight CycleGAN tensorflow implementation 🦁 <-> 🐆

人脸和动漫脸的互转

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs

Generative Adversarial Networks implemented in PyTorch and Tensorflow

Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf

A clean and readable Pytorch implementation of CycleGAN

[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.

Voice Converter Using CycleGAN and Non-Parallel Data

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

Tensorflow implementation of CycleGAN

AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation

CycleGAN Tensorflow 2

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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..

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

traiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.