vae-gan 开源项目推荐（59 个）

clementchadebec /benchmark_VAE

在Pytorch中统一变分自动编码器（VAE）实现（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!

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.

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

mk314k /3DAttnVAE-GAN

A VAE-GAN model designed for learning 3d shape from a single 2d image.

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.

TheEngineerProgrammer /my_masters_thesis

cVAE, VQ-VAE, VQ-VAE2, cVAE-cGAN, PixelCNN and Gated PixelCNN in tensorflow 2.x and keras

rashidrao-pk /anomaly_detection_trust_case_study

[XAI-World-24 Paper] Experiments for 'Can I Trust my Anomaly Detection System, A Case Study'

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 exampl…