670 Open source projects that are alternatives of or similar to Wgan

Tensorflow implementation for Conditional Convolutional Adversarial Networks.

Personalized Fashion Recommendation and Generation

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

Differentially private learning to create fake, synthetic datasets with enhanced privacy guarantees

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

Torch implementation of SampleRNN: An Unconditional End-to-End Neural Audio Generation Model

Distributed Keras Engine, Make Keras faster with only one line of code.

GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data

Cross-domain Correspondence Learning for Exemplar-based Image Translation. (CVPR 2020 Oral)

A collection of arbitrary text to image papers with code (constantly updating)

TF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model

Focal Frequency Loss for Generative Models

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

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

Official PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

Text to image synthesis using thought vectors

Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)

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

Auxiliary Classifier Generative Adversarial Networks in Keras

Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling

Hiding Images within other images using Deep Learning

Generative adversarial training for generating synthetic tabular data.

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

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

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.

Implementation of VLAE

DCGAN image generator 🖼️.

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

The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"

Implementation of the paper [Using Fast Weights to Attend to the Recent Past](https://arxiv.org/abs/1610.06258)

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

chainer implementation of pix2pix

Deep learning codes and projects using Python

EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212

Awesome GAN for Medical Imaging

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

Reflective testing.

An iOS application of Tensorflow Object Detection with different models: SSD with Mobilenet, SSD with InceptionV2, Faster-RCNN-resnet101

A UI tool for quickly training image classifiers in the browser

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.

Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks

News summarization using sequence to sequence model with attention in TensorFlow.

Models of Musical Creativity (in Clojure)

This repository contains the source code for the paper First Order Motion Model for Image Animation

A pytorch implementation of MINE(Mutual Information Neural Estimation)

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

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

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

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

Convert images to computer generated art using delaunay triangulation.

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

Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN

The authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations

Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400

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

Blender Sushi related scripts. Mostly about Sverchok, Geometry Nodes, Animation Nodes, and related Python scripts.

Generative 3D Part Assembly via Dynamic Graph Learning, NeurIPS 2020

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