662 Open source projects that are alternatives of or similar to The Gan World

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Code for deep generative prior (ECCV2020 oral)

A modern PyTorch implementation of SRGAN

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

An extremely simple generative adversarial network, built with TensorFlow

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

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

Interactive Image Generation via Generative Adversarial Networks

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

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

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

Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.

Keras implementation of 3D Generative Adversarial Network.

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

👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)

A DCGAN to generate anime faces using custom mined dataset

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

Pytorch deep learning face frontalization model

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

Synthesizing and manipulating 2048x1024 images with conditional GANs

TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression

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.

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

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

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

Unsupervised anomaly detection with generative model, keras implementation

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

(WIP) Implementation of Creative Adversarial Networks https://arxiv.org/pdf/1706.07068.pdf

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

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

An AI for Music Generation

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

🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

A PyTorch implementation for StyleGAN with full features.

Generative Adversarial Networks in Keras

🎎 InfoGAN: Interpretable Representation Learning

InstaGAN: Instance-aware Image Translation (ICLR 2019)

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

[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks

Discovering Interpretable GAN Controls [NeurIPS 2020]

Image-to-image translation with conditional adversarial nets

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

Privacy-preserving generative deep neural networks support clinical data sharing

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

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

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

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

Semantic Image Inpainting

Projecting images to latent space with StyleGAN2.

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

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation

Spectral Normalization for Keras Dense and Convolution Layers

Invert the color of MNIST images with PyTorch

Generate text boxes from input words with a GAN.

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

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)

The Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN"