vae-pytorch topic

🤖 | Learning PyTorch through official examples

yakhyo

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

clementchadebec

[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"

taldatech

Optimus: the first large-scale pre-trained VAE language model

ChunyuanLI

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

ioangatop

Official PyTorch implementation of A Quaternion-Valued Variational Autoencoder (QVAE).

eleGAN23

Pytorch implementation of GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection

munhouiani

Generative models (GAN, VAE, Diffusion Models, Autoregressive Models) implemented with Pytorch, Pytorch_lightning and hydra.

Victarry

moai is a PyTorch-based AI Model Development Kit (MDK) created to improve data-driven model workflows, design and reproducibility.

moverseai

Dirichlet-Variational Auto-Encoder by PyTorch

is0383kk