Magenta Studio Integrations

An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Build, deploy, and experiment easily with TensorFlow.

Live organizes multiple passes of an audio or MIDI performance into individual takes. Pick the best moments of each performance and combine them to create your perfect take. Or approach sound design in a new way by splicing together random samples from your library. Link two or more tracks to edit their content simultaneously. This makes editing multi-tracked instruments or performances with multiple musicians easy and fast whilst keeping everything in time across tracks. This feature also works for MIDI tracks. Plug in your MPE-capable controller and immediately add bends, slides and pressure for each individual note in a chord. Add subtle expression variations, morph between chords and create evolving sonic textures. MPE stands for MIDI Polyphonic Expression. This way of using MIDI allows MPE-capable devices to control multiple parameters of every note in real-time for more expressive instrumental performances.