About Magenta

Magenta is a research project exploring the role of machine learning in the process of creating art and music. Primarily this involves developing new deep learning and reinforcement learning algorithms for generating songs, images, drawings, and other materials. But it's also an exploration in building smart tools and interfaces that allow artists and musicians to extend (not replace!) their processes using these models. Magenta was started by some researchers and engineers from the Google Brain team but many others have contributed significantly to the project. We use TensorFlow and release our models and tools in open source on our GitHub. If you’d like to learn more about Magenta, follow this blog, where we post technical details. You can also join our discussion group.

Featured Projects

NSynth

Making music using new sounds generated with machine learning.
Learn more.

Magenta.js

A simple API to make music with machine learning in your browser.
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MusicVAE

Creating palettes for blending and exploring musical loops and scores.
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Onsets and Frames

Transcribing piano with a neural network.
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