662 Open source projects that are alternatives of or similar to Hccg Cyclegan

TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875

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

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

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

Awesome Generative Adversarial Networks with tensorflow

SpecGAN - generate audio with adversarial training

T2F: text to face generation using Deep Learning

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Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)

An AI for Music Generation

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

Image-to-image translation with conditional adversarial nets

Solve captcha without manually labeling a training set

Compute FID scores with PyTorch.

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

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An official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018

TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

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A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).

Privacy-preserving generative deep neural networks support clinical data sharing

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

🔥🔥 PyTorch implementation of "Progressive growing of GANs (PGGAN)" 🔥🔥

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

An application tool of edge-connect, which can do anime inpainting and drawing. 动漫人物图片自动修复，去马赛克，填补，去瑕疵

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

Using Machine Learning to predict the type of exercise from movement data

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

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Dataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"

Spectral Normalization for Keras Dense and Convolution Layers

Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.

Composable GAN framework with api and user interface

An implementation of CycleGan using TensorFlow

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GAN Playground - Experiment with Generative Adversarial Nets in your browser. An introduction to GANs.

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

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

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

Projecting images to latent space with StyleGAN2.