Topic: vae-gan Goto Github
Some thing interesting about vae-gan
Some thing interesting about vae-gan
vae-gan,NLP Modeling for Paraphrase Generation
User: aaronbae
Home Page: https://github.com/aaronbae/ModifiedSentenceVAE/blob/master/report/FinalReport.pdf
vae-gan,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".
User: aju22
vae-gan,Stochastic Adversarial Video Prediction
User: alexlee-gk
Home Page: https://alexlee-gk.github.io/video_prediction/
vae-gan,Towards Generative Modeling from (variational) Autoencoder to DCGAN
User: ayulockin
vae-gan,Handwritten Digit Generation with VAE and GAN are applied.
User: cankobanz
vae-gan,Hybrid Architecture Network, originally VAE+CPPN+GAN by hardmaru
User: chakazul
Home Page: https://colab.research.google.com/drive/1_OoZ3z_C5Jl5gnxDOE9VEMCTs-Fl8pvM
vae-gan,Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
User: clementchadebec
vae-gan,Simple Tensorflow implementation of the paper Autoencoding Beyond Pixels Using a Similarity Metric
User: daquincy
vae-gan,deep learning
User: deepesh22
vae-gan,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.
User: devilenmo
vae-gan,Official implementation of Action-Conditioned Frame Prediction Without Discriminator
User: dvalenciar
vae-gan,This is a Python/Tensorflow 2.0 implementation of the Adversarial Latent AutoEncoders.
User: frederictost
vae-gan,work in-progress
User: gogolgrind
vae-gan,A VAE-GAN model designed for learning 3d shape from a single 2d image. Trained on ShapeNetCore Dataset
User: mk314k
vae-gan,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.
User: mohammad-heydariii
vae-gan,Implementation of https://arxiv.org/pdf/1805.12352.pdf (ICLR 2019)
User: mohdelgaar
vae-gan,This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
User: navneet-nmk
vae-gan,A implement of GAN-collection for tensorflow version
User: nnuyi
vae-gan,Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
User: pkmital
Home Page: https://www.kadenze.com/programs/creative-applications-of-deep-learning-with-tensorflow
vae-gan,A tensorflow implementation of VAE-GAN. This is the first approach which viewed the discriminator as a loss function to improve.
User: prateekmunjal
vae-gan,Official implementation of CVPR2020 paper "Learning to Dress 3D People in Generative Clothing" https://arxiv.org/abs/1907.13615
User: qianlim
vae-gan,Investigate mapping of articulations from the image space to the latent space using neural networks.
User: r-haecker
vae-gan,Comparison of DCGAN, CapsuleGAN and Variational Autoencoder for Image Generation
User: rajatha94
vae-gan,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)
User: ricardokevins
vae-gan,Variational Autoencoder-Generative Adversarial Network (VAE-GAN) to hide data inside images
User: rohitgandikota
vae-gan,Tensorflow implementation of VAE and GAN for MNIST
User: rrmenon10
vae-gan,Code and notebooks related to the paper: "Reconstructing Faces from fMRI Patterns using Deep Generative Neural Networks" by VanRullen & Reddy, 2019
User: rufinv
vae-gan,Repository of all notebooks used in the GANs and VAEs event.
Organization: smlra-kjsce
vae-gan, The Pytorch implementation of the NIPS 2018 paper
User: sunnerli
vae-gan,Exercise files for Generative Adversarial Networks (GAN) Course for Beginners
Organization: tertiarycourses
Home Page: https://www.tertiarycourses.com.sg/generative-adversarial-networks-gan.html
vae-gan,cVAE, VQ-VAE, VQ-VAE2, cVAE-cGAN, PixelCNN and Gated PixelCNN in tensorflow 2.x and keras
User: theengineerprogrammer
vae-gan,This is a "fork" of the Genhack3 repo for the Demeter's vision team solution.
User: ttiki
vae-gan,Tensorflow code of "autoencoding beyond pixels using a learned similarity metric"
User: zhangqianhui
vae-gan,This repo contains the implementation of a VAE and CVAE and applies that on MNIST dataset for modeling and generating different digits.
User: zhpinkman
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