866 Open source projects that are alternatives of or similar to Creative Adversarial Networks

Unofficial implementation of StyleGAN's generator

Page to PAGE Layout Analysis Tool

Invert the color of MNIST images with PyTorch

Keras implementation of 3D Generative Adversarial Network.

GAN in Tensorflow to be run via Linux command line

Modified implementation of DCGAN focused on generative art. Includes pre-trained models for landscapes, nude-portraits, and others.

[CVPR2020] Adversarial Latent Autoencoders

The Simplest DCGAN Implementation

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

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

Code for deep generative prior (ECCV2020 oral)

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

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

Semantic Image Inpainting

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

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

Interactive Image Generation via Generative Adversarial Networks

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

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

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

Pytorch deep learning face frontalization model

T2F: text to face generation using Deep Learning

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

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

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

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

A stable algorithm for GAN training

Showcasing various fun adventures with GANs

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

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

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

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 PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

InstaGAN: Instance-aware Image Translation (ICLR 2019)

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

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

Unsupervised anomaly detection with generative model, keras implementation

Generative Adversarial Networks in Keras

An implementation of CycleGan using TensorFlow

The implementation of Relativistic average GAN with Keras

Awesome GAN for Medical Imaging

Image-to-image translation with conditional adversarial nets

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

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

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

SpecGAN - generate audio with adversarial training

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

Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation

Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

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

Discovering Interpretable GAN Controls [NeurIPS 2020]

Official pytorch implementation of the IrwGAN for unaligned image-to-image translation

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

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

Compute FID scores with PyTorch.

Handwritten Chinese Characters Generation

Code for GAN2Shape (ICLR2021 oral)

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