1520 Open source projects that are alternatives of or similar to Hypergan

Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020)

Image-to-Image Translation in PyTorch

On the "steerability" of generative adversarial networks

Everything about Generative Adversarial Networks

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

A variant of the Self Attention GAN named: FAGAN (Full Attention GAN)

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

Flappy Bird AI using Evolution Strategies

TensorFlow GAN implementation using Gumbel Softmax

Generative Adversarial Networks in Keras

A Compositional Object-Based Approach to Learning Physical Dynamics

Collection of generative models in Pytorch version.

Synthesizing and manipulating 2048x1024 images with conditional GANs

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

PyTorch reimplementation of the paper: "Semantic Pyramid for Image Generation" [CVPR 2020].

Improved Wasserstein GAN (WGAN-GP) application on medical (MRI) images

ML algorithm for real-time classification

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

Unofficial implementation of StyleGAN's generator

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

SALT (iccv2017) based Video Denoising Codes, Matlab implementation

Generate text boxes from input words with a GAN.

Invert the color of MNIST images with PyTorch

An extremely simple generative adversarial network, built with TensorFlow

Applied Deep Learning (2019 Spring) @ NTU

[CVPR2020] Adversarial Latent Autoencoders

Learning to Cluster. A deep clustering strategy.

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

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

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

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

Official Chainer implementation of GP-GAN: Towards Realistic High-Resolution Image Blending (ACMMM 2019, oral)

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

Code for deep generative prior (ECCV2020 oral)

Unsupervised Video Retargeting (e.g. face to face, flower to flower, clouds and winds, sunrise and sunset)

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

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

A modern PyTorch implementation of SRGAN

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

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

TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

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

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

Create Anime Characters with MakeGirlsMoe

A clean and readable Pytorch implementation of CycleGAN

Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two

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

[MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning. Pytorch Implementation

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

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.

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

InstaGAN: Instance-aware Image Translation (ICLR 2019)

Pytorch implementation of "One-Sided Unsupervised Domain Mapping" NIPS 2017

Code for GAN2Shape (ICLR2021 oral)

The Simplest DCGAN Implementation

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

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

An AI for Music Generation

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥