1230 Open source projects that are alternatives of or similar to Musegan

Keras implementation of 3D Generative Adversarial Network.

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

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

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.

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

Generate text boxes from input words with a GAN.

A modern PyTorch implementation of SRGAN

Code for deep generative prior (ECCV2020 oral)

Synthesizing and manipulating 2048x1024 images with conditional GANs

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

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

Train a StyleGAN2 model on Colaboratory to generate Steam banners.

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

Generate Cartoon Images using Generative Adversarial Network

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

The Simplest DCGAN Implementation

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

An extremely simple generative adversarial network, built with TensorFlow

Interactive Image Generation via Generative Adversarial Networks

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

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

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

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

T2F: text to face generation using Deep Learning

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

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

Generative Adversarial Network that learns to generate handwritten digits. (Learning Purposes)

The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".

Official Pytorch implementation of Adversarial Segmentation Loss for Sketch Colorization [ICIP 2021]

Invert the color of MNIST images with PyTorch

Applied Deep Learning (2019 Spring) @ NTU

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

Unofficial implementation of StyleGAN's generator

[CVPR2020] Adversarial Latent Autoencoders

[TIP2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"

Create Anime Characters with MakeGirlsMoe

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

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

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

InstaGAN: Instance-aware Image Translation (ICLR 2019)

GAN in Tensorflow to be run via Linux command line

Generate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.

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

Solve captcha without manually labeling a training set

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

Awesome Generative Adversarial Networks with tensorflow

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

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

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

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

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

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

TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression

Showcasing various fun adventures with GANs

Pytorch implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

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

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

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

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