FAQ

Frequently Asked Questions

What is VAME?

VAME is a framework to cluster behavioral signals obtained from pose-estimation tools. It is a PyTorch-based deep learning framework which leverages the power of recurrent neural networks (RNN) to model sequential data. In order to learn the underlying complex data distribution, we use the RNN in a variational autoencoder setting to extract the latent state of the animal in every step of the input time series.

Where I can find the original VAME Publication

The original VAME publication can be found at the following link: VAME