Skip to content

Latest commit

 

History

History
11 lines (6 loc) · 881 Bytes

README.md

File metadata and controls

11 lines (6 loc) · 881 Bytes

Animation

In this interactive demo, I have used Google Magenta's DrumsRNN to generate continuous drum patterns based on your input pattern inside a seed limit and Google Magenta's ImprovRNN to generate arpeggio patterns based on your input notes conditioned on a chord. Based on your seed inputs, the deep neural networks (LSTMs) will generate drum and arpeggio patterns live in your browser!

Demo

Blog post

Google Magenta Demos

YouTube video instructions