A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

STCN: Stochastic Temporal Convolutional Networks

Classification of ECG signals by dot Residual LSTM Network for anomaly detection

Variational Auto Encoders for learning binding signatures of transcription factors

Generating new MNIST handwritten digits with a Variational Auto Encoder (VAE)

Variational Auto-Encoder of using Audio Sample Spectograms