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Make Music and Art
Using Machine Learning

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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.
Onsets and Frames
Transcribing piano with a neural network.
Learn more.
MusicVAE
Creating palettes for blending and exploring musical loops and scores.
Learn more.
NSynth
Making music using new sounds generated with machine learning.
Learn more.

What's new?

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.
Making an Album with Music Transformer
Nobody's songs is an album composed with the help of Magenta’s Music Transformer. Read the blog post.
Listen to Transformer
An app to make it easier to explore and curate samples from a piano transformer. Read the blog post.
See more posts.