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

T2F: text to face generation using Deep Learning

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

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

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Handwritten Chinese Characters Generation

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

Projecting images to latent space with StyleGAN2.

Synthesizing and manipulating 2048x1024 images with conditional GANs

SpecGAN - generate audio with adversarial training

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

Spectral Normalization for Keras Dense and Convolution Layers

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

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

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

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

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

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

InstaGAN: Instance-aware Image Translation (ICLR 2019)

🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)

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

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

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

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

Compute FID scores with PyTorch.

Solve captcha without manually labeling a training set

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

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

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

TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression

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

Interactive Image Generation via Generative Adversarial Networks

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

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

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

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

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

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

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.

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

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

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

Privacy-preserving generative deep neural networks support clinical data sharing

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"

An AI for Music Generation

The implementation of Relativistic average GAN with Keras

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

Composable GAN framework with api and user interface

An implementation of CycleGan using TensorFlow

Image-to-image translation with conditional adversarial nets

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

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

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

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

Generative Adversarial Networks in Keras

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

Discovering Interpretable GAN Controls [NeurIPS 2020]