1210 Open source projects that are alternatives of or similar to Cyclegan

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

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

Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training

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

Code repository for Frontiers article 'Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT'

A clean and readable Pytorch implementation of CycleGAN

DEPRECATED: Depth Map Estimation from Monocular Images

Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

This toolbox is support material for the book on CNN (http://www.convolution.network).

Code for paper "Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation"

Image-to-Image Translation in PyTorch

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

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

Pytorch implementation of CycleGAN.

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

Reproduction code for WGAN-LP

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

[CVPR2020] Adversarial Latent Autoencoders

由淺入深的深度學習資源 Collection of deep learning materials for everyone

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

Deep learning codes and projects using Python

Code for "A-NICE-MC: Adversarial Training for MCMC"

Generative Adversarial Networks in TensorFlow 2.0

Pytorch implementation of multitask CycleGAN with auxiliary classification loss

GANnotation (PyTorch): Landmark-guided face to face synthesis using GANs (And a triple consistency loss!)

Colorization of grayscale images using CycleGAN in TensorFlow.

An implementation of CycleGan using TensorFlow

A stable algorithm for GAN training

Pytorch implementation of BicycleGAN with implementation details

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..

OCR engine for all the languages

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

Grokking Deep Reinforcement Learning

Official code for "Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content"，CVPR‘20 https://arxiv.org/abs/2003.05863

Probabilistic reasoning and statistical analysis in TensorFlow

The first-ever paper on the Unix shell written by Ken Thompson in 1976 scanned, transcribed, and redistributed with permission

Python implementation of soft-DTW.

This repository contains a new generative model of chatbot based on seq2seq modeling.

Segmentation models with pretrained backbones. PyTorch.

Conditional GAN for generating synthetic tabular data.

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

AI for everyone! 🎉 Neural networks, tools and a library we use in Supervisely

🌓 Bringing pjreddie's DarkNet out of the shadows #yolo

Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

🐎📈 Constantly summarizing open source dataset and important critical papers in the field of surface defect research which are very important. 🐋

PyTorch code for "PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer" (CVPR 2020 Oral)

Machine Learning Practical course repository

A PyTorch implementation for Adversarial Discriminative Domain Adaptation

High-level batteries-included neural network training library for Pytorch

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training

Purpur is a fork of Paper, Tuinity, and Airplane with the goal of providing new and interesting configuration options, which allow for creating a unique gameplay experience not seen anywhere else

A modern PyTorch implementation of SRGAN

The Roadmap to Learn Generative Adversarial Networks (GANs)

📄 A PyTorch implementation of Paragraph Vectors (doc2vec).

Akarin is a powerful (not yet) server software from the 'new dimension'

PHP Class to detect languages from any free text