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?
Natya*ML
Through Natya*ML, I sought to showcase the beauty of Bharatanatyam in a way that’s easy and understandable. Read the blog post.
Maestro: An AI-guided vocal coach
We leveraged the Magenta.js library to create Maestro, an application that combines music theory with practical lessons for music enthusiasts. Read the blog post.
DearDiary.ai
Type some words—thoughts, feelings, poems, goals, stories, a to-do list—and you’ve created an original song. Read the blog post.
BitRate: Recap
Last year, Magenta and Gray Area partnered to host BitRate, a month-long series focused on experimenting with the possibilities of Music and Machine Learning. Read the blog post.