vae topic

PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling

keonlee9420

Advanced Deep Learning with Keras, published by Packt

PacktPublishing

Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.

tgsmith61591

Vector Quantized VAEs - PyTorch Implementation

ritheshkumar95

Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2:

Schlumberger

daib13

dcgan combined with vae in pytorch!

seangal

Dataset to assess the disentanglement properties of unsupervised learning methods

google-deepmind

Replicating "Understanding disentangling in β-VAE"

miyosuda

PyTorch implementation of VQ-VAE by Aäron van den Oord et al.

zalandoresearch