Reference implementation for a variational autoencoder in TensorFlow and PyTorch. I recommend the PyTorch version. It includes an example of a more expressive variational family, the inverse ...

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow) - jaanli/variational-autoencoder. Skip to content. Navigation Menu Toggle navigation. Sign in ...

The variational autoencoder with 4 hidden layers performed the best with high Spearman and Pearson coefficients and low RMSD. In terms of the encoder (Figures 4A,B), a larger number of layers lead to ...

We propose an algorithm, guided variational autoencoder (Guided-VAE), that is able to learn a controllable generative model by performing latent representation disentanglement learning. The learning ...

To address this issue, this paper proposes a sample synthesis technique that combines variational autoencoder (VAE) with an improved synthetic minority over-sampling technique edited nearest neighbor ...