This notebook demonstrates how train a Variational Autoencoder (VAE) (1, 2). on the MNIST dataset. A VAE is a probabilistic take on the autoencoder, ... ... <看更多>

A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch - GitHub - sksq96/pytorch-vae: A CNN Variational Autoencoder (CNN-VAE) implemented in ... ... <看更多>

The multi-entity VAE (MVAE) is a latent variable model of data x in which the ... are aggregated using an element-wise operation, and a final convolutional ... ... <看更多>

I am currently developing a precipitation cell displacement prediction model. I have taken as a model to implement a variational convolutional ... ... <看更多>

VAEs employ the strategy of amortized variational inference. They approximate the intractable posteriors p(zjx) by factorized Gaussian ... ... <看更多>

Convolutional Variational Autoencoder for classification and generation of time-series. It has been made using Pytorch. It does not load a dataset. You're ... ... <看更多>