vae-gan

There are 1 repository under vae-gan topic.

clementchadebec / benchmark_VAE
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
vae benchmarking beta-vae comparison normalizing-flows pixel-cnn pytorch reproducibility reproducible-research vae-gan vae-implementation vae-pytorch variational-autoencoder vq-vae wasserstein-autoencoder
Language:Python 1824
navneet-nmk / pytorch-rl
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
dqn reinforcement-learning deep-learning deep-reinforcement-learning pytorch gym ddpg rl-algorithms openai openai-gym robotics experience-replay mujoco mujoco-py policy-gradient gan generative-adversarial-network vae vae-gan variational-autoencoder
Language:Python 441
pkmital / pycadl
Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
deep-learning neural-network tutorial mooc gan vae vae-gan pixelcnn wavenet magenta nsynth tensorflow celeba cyclegan dcgan word2vec glove autoregressive conditional course
Language:Python 366
qianlim / CAPE
Official implementation of CVPR2020 paper "Learning to Dress 3D People in Generative Clothing" https://arxiv.org/abs/1907.13615
clothing cvpr cvpr-2020 cvpr2020 graph-convolutional-networks mesh-generation smpl-body smpl-model vae-gan
Language:Python 314
alexlee-gk / video_prediction
Stochastic Adversarial Video Prediction
video-prediction stochastic adversarial vae variational-autoencoder generative-adversarial-network gan vae-gan video-generation
Language:Python 303
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）
baseline bert natural-language-processing nlp pytorch text-classification textclassification transformer vae-gan
Language:Python 261
zhangqianhui / vae-gan-tensorflow
Tensorflow code of "autoencoding beyond pixels using a learned similarity metric"
gan tensorflow vae-gan
Language:Python 128
seangal / dcgan_vae_pytorch
dcgan combined with vae in pytorch!
dcgan gan nn pytorch vae vae-gan
Language:Python 117
pclubiitk / model-zoo
Implementations of various Deep Learning models in PyTorch and TensorFlow.
3d-vision classification cnn cnn-model deep-learning gans machine-learning model-zoo nlp object-detection pytorch super-resolution tensorflow vae-gan video
Language:Python 57
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
vae-gan vae gan tensorflow fmri brain-decoding face celeba-dataset
Language:Python 48
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.
ai chinese defect-detection english pytorch unsupervised vae-gan
Language:Python 31
mk314k / 3DAttnVAE-GAN
A VAE-GAN model designed for learning 3d shape from a single 2d image. Trained on ShapeNetCore Dataset
3d-vision attention-mechanism computer-vision pytorch vae-gan ai-ml
Language:Python 10
rohitgandikota / Hiding-Images-using-VAE-Genarative-Adversarial-Networks
Variational Autoencoder-Generative Adversarial Network (VAE-GAN) to hide data inside images
data-hiding deep-learning generative-adversarial-network steganography vae-gan variational-autoencoder
Language:Python 10
Chakazul / HANet
Hybrid Architecture Network, originally VAE+CPPN+GAN by hardmaru
cppn gan keras tensorflow vae vae-gan
Language:Jupyter Notebook 8
daQuincy / VAE-GAN-Autoencoding-Beyond-Pixels-Using-a-Similarity-Metric
Simple Tensorflow implementation of the paper Autoencoding Beyond Pixels Using a Similarity Metric
deep-learning machine-learning vae gan vae-gan vaegan tensorflow computer-vision
Language:Jupyter Notebook 8
MohdElgaar / DialogWAE
Implementation of https://arxiv.org/pdf/1805.12352.pdf (ICLR 2019)
deep-learning nlp dialog pytorch iclr2019 vae gan wgan vae-gan
Language:Jupyter Notebook 6
smlra-kjsce / Introduction-to-VAEs-and-GANs
Repository of all notebooks used in the GANs and VAEs event.
colab dcgan dcgan-pytorch game-theory gans pokemon pytorch pytorch-gan vae vae-gan
Language:Jupyter Notebook 6
dvalenciar / Action-Frame-Prediction
Official implementation of Action-Conditioned Frame Prediction Without Discriminator
frame-prediction frame-predict variational-autoencoder gan generative-adversarial-network image-generation machine-learning vae vae-gan action-condition
4
TheEngineerProgrammer / my_masters_thesis
cVAE, VQ-VAE, VQ-VAE2, cVAE-cGAN, PixelCNN and Gated PixelCNN in tensorflow 2.x and keras
cvae deep-learning gan gated-pixelcnn machine-learning pixelcnn tensorflow vae vae-gan vq-vae vq-vae-2
Language:Jupyter Notebook 4
artemsavkin / vaegan
pytorch gan vae vae-gan
Language:Jupyter Notebook 3
ayulockin / deepgenerativemodeling
Towards Generative Modeling from (variational) Autoencoder to DCGAN
autoencoder vae vae-implementation vae-gan keras keras-tensorflow autoencoder-architecture
Language:Jupyter Notebook 3
frederictost / alae_tf2
This is a Python/Tensorflow 2.0 implementation of the Adversarial Latent AutoEncoders.
alae tensorflow tf2 mnist autoencoders gan vae vae-gan tensorflow2 adversarial-latent-autoencoder
Language:Python 3
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.
vae-gan tensorflow
Language:Python 3
qwertyforce / vaegan_mnist
mnist vae-gan pytorch
Language:Jupyter Notebook 3
aaronbae / ModifiedSentenceVAE
NLP Modeling for Paraphrase Generation
vae vae-gan gan paraphrase paraphrase-generation nlp
Language:C++ 2
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".
deep-learning gans vae-gan vae-pytorch vq-vae
Language:Jupyter Notebook 2
gogolgrind / GeneratingNL
work in-progress
natural-language-processing gan vae-gan pytorch adversarial-attacks adversarial-machine-learning deep-learning
Language:Jupyter Notebook 2
lipiji / adversarial-variational-autoencoders
Adversarial Variational Auto-Encoders (AVAEs) in Theano
gans vae-gan vae
Language:Python 2
nnUyi / GAN-Collections
A implement of GAN-collection for tensorflow version
began dcgan ebgan gan-collections gans lsgan tensorflow vae-gan wgan wgan-gp
Language:Python 2
Generative_AI
AMfeta99 / Generative_AI
This repository is a comprehensive resource for mastering generative AI, featuring in-depth notes and exciting projects. The goal is to stay updated with the latest advancements in generative AI, and explore applications in image & video generation, creative content creation. Explore the limitless possibilities of generative AI today!
autoencoder diffusion-models gans stable-diffusion vae vae-gan huggingface pytorch ddpm clip-model conditioning dreambooth-finetuning fine-tuning guidance latent-diffusion
Language:Jupyter Notebook 1
giorgosv12 / deepfakes-detection-thesis
deep-learning pytorch 3dmm binary-classification cnn one-class-classification vae-gan
Language:Python 1
heydarimo / 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.
classification discriminator gan semi-supervised-learning sgan vae-gan
Language:Jupyter Notebook 1
R-Haecker / latent-representations-of-articulations
Investigate mapping of articulations from the image space to the latent space using neural networks.
latent-representations discriminator vae-gan
Language:Python 1
rajatha94 / faiProject
Comparison of DCGAN, CapsuleGAN and Variational Autoencoder for Image Generation
dcgan dcgan-tensorflow vae-gan vae capsule-network capsule-gan capsule-networks variational-autoencoder gan loss-functions image-generation
Language:Jupyter Notebook 1
ravindramohith / SatelliteMapGAN
This project implements the BiCycleGAN architecture for multimodal image-to-image translation from scratch using PyTorch
bicyclegan computer-vision generative-adversarial-network pytorch vae-gan
Language:Jupyter Notebook 1
SunnerLi / IntroVAE-PyTorch
The Pytorch implementation of the NIPS 2018 paper
vae generative-adversarial-network vae-gan adversarial-learning mnist
Language:Python 1

vae-gan

clementchadebec / benchmark_VAE

navneet-nmk / pytorch-rl

pkmital / pycadl

qianlim / CAPE

alexlee-gk / video_prediction

Ricardokevins / Kevinpro-NLP-demo

zhangqianhui / vae-gan-tensorflow

seangal / dcgan_vae_pytorch

pclubiitk / model-zoo

rufinv / VAE-GAN-CelebA

DEVILENMO / Unsupervised-Defect-Detection-Project-Based-on-VAE-GAN-Architecture

mk314k / 3DAttnVAE-GAN

rohitgandikota / Hiding-Images-using-VAE-Genarative-Adversarial-Networks

Chakazul / HANet

daQuincy / VAE-GAN-Autoencoding-Beyond-Pixels-Using-a-Similarity-Metric

MohdElgaar / DialogWAE

smlra-kjsce / Introduction-to-VAEs-and-GANs

dvalenciar / Action-Frame-Prediction

TheEngineerProgrammer / my_masters_thesis

artemsavkin / vaegan

ayulockin / deepgenerativemodeling

frederictost / alae_tf2

PrateekMunjal / Autoencoding-beyond-pixels-using-a-learned-similarity-metric

qwertyforce / vaegan_mnist

aaronbae / ModifiedSentenceVAE

aju22 / VQ-GANs

gogolgrind / GeneratingNL

lipiji / adversarial-variational-autoencoders

nnUyi / GAN-Collections

AMfeta99 / Generative_AI

giorgosv12 / deepfakes-detection-thesis

heydarimo / SGAN

R-Haecker / latent-representations-of-articulations

rajatha94 / faiProject

ravindramohith / SatelliteMapGAN

SunnerLi / IntroVAE-PyTorch