  There has been significant progress in the music generation technique
utilizing deep learning. However, it is still hard for musicians and artists to
use these techniques in their daily music-making practice. This paper proposes
a Variational Autoencoder\cite{Kingma2014}(VAE)-based rhythm generation system,
in which musicians can train a deep learning model only by selecting target
MIDI files, then generate various rhythms with the model. The author has
implemented the system as a plugin software for a DAW (Digital Audio
Workstation), namely a Max for Live device for Ableton Live. Selected
professional/semi-professional musicians and music producers have used the
plugin, and they proved that the plugin is a useful tool for making music
creatively. The plugin, source code, and demo videos are available online.
