vae-gan
There are 42 repositories under vae-gan topic.
clementchadebec/benchmark_VAE
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
navneet-nmk/pytorch-rl
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
pkmital/pycadl
Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
qianlim/CAPE
Official implementation of CVPR2020 paper "Learning to Dress 3D People in Generative Clothing" https://arxiv.org/abs/1907.13615
alexlee-gk/video_prediction
Stochastic Adversarial Video Prediction
Ricardokevins/Kevinpro-NLP-demo
All NLP you Need Here. 目前包含15个NLP demo的pytorch实现（大量代码借鉴于其他开源项目，原先是自己玩的，后来干脆也开源出来）
zhangqianhui/vae-gan-tensorflow
Tensorflow code of "autoencoding beyond pixels using a learned similarity metric"
seangal/dcgan_vae_pytorch
dcgan combined with vae in pytorch!
pclubiitk/model-zoo
Implementations of various Deep Learning models in PyTorch and TensorFlow.
rufinv/VAE-GAN-CelebA
Code and notebooks related to the paper: "Reconstructing Faces from fMRI Patterns using Deep Generative Neural Networks" by VanRullen & Reddy, 2019
DEVILENMO/Unsupervised-Defect-Detection-Project-Based-on-VAE-GAN-Architecture
本项目实现了一种基于 VAE-CycleGAN 的图像重建无监督缺陷检测算法。该算法结合了变分自编码器 (VAE) 和 CycleGAN 的优势，无需标注数据即可检测图像中的缺陷/异常。This project implements an unsupervised defect detection algorithm for image reconstruction based on VAE-CycleGAN. This algorithm combines the advantages of variational autoencoders (VAE) and CycleGAN to detect defects in images without any supervision.
mk314k/3DAttnVAE-GAN
A VAE-GAN model designed for learning 3d shape from a single 2d image. Trained on ShapeNetCore Dataset
rohitgandikota/Hiding-Images-using-VAE-Genarative-Adversarial-Networks
Variational Autoencoder-Generative Adversarial Network (VAE-GAN) to hide data inside images
Chakazul/HANet
Hybrid Architecture Network, originally VAE+CPPN+GAN by hardmaru
daQuincy/VAE-GAN-Autoencoding-Beyond-Pixels-Using-a-Similarity-Metric
Simple Tensorflow implementation of the paper Autoencoding Beyond Pixels Using a Similarity Metric
MohdElgaar/DialogWAE
Implementation of https://arxiv.org/pdf/1805.12352.pdf (ICLR 2019)
smlra-kjsce/Introduction-to-VAEs-and-GANs
Repository of all notebooks used in the GANs and VAEs event.
dvalenciar/Action-Frame-Prediction
Official implementation of Action-Conditioned Frame Prediction Without Discriminator
TheEngineerProgrammer/my_masters_thesis
cVAE, VQ-VAE, VQ-VAE2, cVAE-cGAN, PixelCNN and Gated PixelCNN in tensorflow 2.x and keras
ayulockin/deepgenerativemodeling
Towards Generative Modeling from (variational) Autoencoder to DCGAN
frederictost/alae_tf2
This is a Python/Tensorflow 2.0 implementation of the Adversarial Latent AutoEncoders.
PrateekMunjal/Autoencoding-beyond-pixels-using-a-learned-similarity-metric
A tensorflow implementation of VAE-GAN. This is the first approach which viewed the discriminator as a loss function to improve.
aaronbae/ModifiedSentenceVAE
NLP Modeling for Paraphrase Generation
aju22/VQ-GANs
This is a simplified implementation of VQ-GANs written in PyTorch. The architecture is borrowed from the paper "Taming Transformers for High-Resolution Image Synthesis".
gogolgrind/GeneratingNL
work in-progress
lipiji/adversarial-variational-autoencoders
Adversarial Variational Auto-Encoders (AVAEs) in Theano
nnUyi/GAN-Collections
A implement of GAN-collection for tensorflow version
Mohammad-Heydariii/SGAN
The semi-supervised GAN, or SGAN, model is an extension of the GAN architecture that involves the simultaneous training of a supervised discriminator, unsupervised discriminator, and a generator model. The result is both a supervised classification model that generalizes well to unseen examples and a generator model that outputs plausible examples of images from the domain. in this repository we tend to implement a simplified formation of that.
R-Haecker/latent-representations-of-articulations
Investigate mapping of articulations from the image space to the latent space using neural networks.
rajatha94/faiProject
Comparison of DCGAN, CapsuleGAN and Variational Autoencoder for Image Generation
SunnerLi/IntroVAE-PyTorch
The Pytorch implementation of the NIPS 2018 paper
tertiarycourses/GANTraining
Exercise files for Generative Adversarial Networks (GAN) Course for Beginners
wangg12/autoencoding_beyond_pixels
Generative image model with learned similarity measures