434 Open source projects that are alternatives of or similar to speech-enhancement-WGAN

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

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

Automatic feature engineering using Generative Adversarial Networks using TensorFlow.

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

An implementation of VAEGAN (variational autoencoder + generative adversarial network).

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation

A large-scale face dataset for face parsing, recognition, generation and editing.

The implementation of Temporal Generative Adversarial Nets with Singular Value Clipping

A sketch extractor for anime/illustration.

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

Official code for "Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content"，CVPR‘20 https://arxiv.org/abs/2003.05863

Simple GAN example using tensorflow JS core

OpenMMLab Image and Video Editing Toolbox

Code and dataset for Single Underwater Image Restoration by Contrastive Learning, IGARSS 2021, oral.

Pix2Pix Image translation using conditional generative adversarial network - sketch to face

This repository contains my full work and notes on Deeplearning.ai GAN Specialization (Generative Adversarial Networks)

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

Simple code implement the paper of CartoonGAN(CVPR2018)

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

No description or website provided.

Generative Adversarial Networks and Autoencoders for 3D Shapes

BTK Akademi -1 Milyon İstihdam Projesi için Merve Ayyüce Kızrak tarafından Hazırlanmıştır.

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

Pytorch implementation of subband decomposition

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

A PyTorch implementation for Adversarial Discriminative Domain Adaptation

Pytorch implementation of CycleGAN.

A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.

The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-…

Implementation of the paper "NetGAN: Generating Graphs via Random Walks".

cRNN-GAN to generate music by training on instrumental music (midi)

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

Low-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation

[ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

A PyTorch implementation for StyleGAN with full features.

Adversarial learning framework to enhance long-tail recommendation in Neural Collaborative Filtering

based on https://github.com/kwj2104/CPPN-WGAN, but on chineses fonts and improved architecture

Two-stage GANs that generate fingerstyle guitarist images from audio.

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

Translate text to image in Keras using GAN and Word2Vec as well as recurrent neural networks

C++ Implementation of PyTorch Tutorials for Everyone

Unofficial pytorch implementation of algorithms for domain adaptation

🎎 InfoGAN: Interpretable Representation Learning

This toolbox is support material for the book on CNN (http://www.convolution.network).

Learning to Avoid Errors in GANs by Input Space Manipulation (Code for paper)

ArtGAN: This work presents a series of new approaches to improve Generative Adversarial Network (GAN) for conditional image synthesis and we name the proposed model as “ArtGAN”. Implementations are in Caffe/Tensorflow.

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

The implementation of Relativistic average GAN with Keras

HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN

No description or website provided.

MultiGraphGAN for predicting multiple target graphs from a source graph using geometric deep learning.

Assessing Generative Models via Precision and Recall (official repository)

Stacked Generative Adversarial Networks

Code for "On the Effects of Batch and Weight Normalization in Generative Adversarial Networks"

Projecting images to latent space with StyleGAN2.