427 Open source projects that are alternatives of or similar to gan-error-avoidance

Awesome GAN for Medical Imaging

The Simplest DCGAN Implementation

This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

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

Tutorial on GANs

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

TextBox is an open-source library for building text generation system.

Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)

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

CycleGAN based neural network architecture to change the gender of a person’s face

Code for the paper "TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks"

rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

The simplest implementation toward the idea of Re-cycle GAN

FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery

This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.

Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".

Generative Adversarial Networks in PyTorch

Improving MMD-GAN training with repulsive loss function

An extremely simple generative adversarial network, built with TensorFlow

Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

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

Semi-supervised GAN in "Improved Techniques for Training GANs"

Invert the color of MNIST images with PyTorch

🔥3D-RecGAN in Tensorflow (ICCV Workshops 2017)

things I help(ed) to build

Official PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

Handwritten Chinese Characters Generation

Generating Text through Adversarial Training(GAN) using Skip-Thought Vectors

Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)

Torch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Generate Cartoon Images using Generative Adversarial Network

Generate image from text with Generative Adversarial Network

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

A web porting for NVlabs' StyleGAN.

gail, infogail, hierarchical gail implementations

This is the official PyTorch implementation of the CVPR 2020 paper "TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting".

Lagrangian VAE

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

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

Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition

TriangleGAN, ACM MM 2019.

A Pytorch implementation of Stylegan2 with UNet Discriminator

GAN in Tensorflow to be run via Linux command line

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

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

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

A implementation of DCGAN (Deep Convolutional Generative Adversarial Networks) for CIFAR10 image

This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.

🤖A list of resources to help anyone getting started with GANs 🤖

No description or website provided.

Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification

My pytorch implementation for GAN

Official code (Pytorch) for paper Perception-Enhanced Single Image Super-Resolution via Relativistic Generative Networks

this repo attemps to reproduce Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks(CycleGAN) use gluon reimplementation

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

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