What is Magenta?
An open source research project exploring the role of machine
learning as a tool in the creative process.
Python
Magenta is distributed as an open source Python library, powered by TensorFlow. This library includes utilities for manipulating source data (primarily music and images), using this data to train machine learning models, and finally generating new content from these models.
JavaScript
Magenta.js is an open source JavaScript API for using the pre-trained Magenta models in the browser. It is built with TensorFlow.js, which allows for fast, GPU-accelerated inference. If you're interested in seeing how Magenta models have been used in existing applications or want to build your own, this is probably the place to start!
Featured projects
Magenta Studio (beta)
Magenta Studio is a collection of music plugins built on Magenta’s open source tools and models.
Learn more.
What's new?
The Musician in the Machine
Guest blogger Dan Jeffries discusses how he and his team dug deep to find out if neural nets can compose Ambient music with the great masters of the art. Read the blog post.
BitRate: Machine Learning & Music Series
This August, Magenta and the Bay Area non-profit Gray Area present BitRate, a month-long series focused on experimenting with the possibilities of Music and Machine Learning. Read the blog post.
Make a song together
Work together with friends to create your very own piece of music! Read the blog post.
Improving Perceptual Quality of Drum Transcription with the Expanded Groove MIDI Dataset
OaF Drums enables high precision automatic drum transcription with included velocity prediction. Read the blog post.