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Dicy2 is a collection of agents and tools using machine-learning for the interactive generation of structured musical sequences. It can be integrated into musical setups ranging from the production of structured material within a compositional process to the design of autonomous agents for improvised interaction. It is available as a [plugin for Ableton Live](https://forum.ircam.fr/projects/detail/dicy2-for-live/) and a [library for Max](https://forum.ircam.fr/projects/detail/dicy2/).
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Dicy2 is a library of the Ircam Musical Representations team, designed and developed by [Jérôme Nika](https://jeromenika.com/) and Joakim Borg (Python generative engine / [Gig RepMus API](https://github.com/DYCI2/gig)) in the framework of the [ANR-DYCI2](http://repmus.ircam.fr/dyci2), [ANR-MERCI](http://repmus.ircam.fr/merci), [ERC-REACH](http://repmus.ircam.fr/reach) projects directed by Gérard Assayag, and Ircam "UPI CompAI" project.
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The Dicy2 Python library is a library of the Ircam Musical Representations team, designed and developed by [Jérôme Nika](https://jeromenika.com/) and Joakim Borg (Python generative engine / [Gig RepMus API](https://github.com/DYCI2/gig)) in the framework of the projects [ANR-DYCI2](http://repmus.ircam.fr/dyci2), [ANR-MERCI](http://repmus.ircam.fr/merci), [ERC-REACH](http://repmus.ircam.fr/reach) directed by Gérard Assayag, and the UPI-CompAI Ircam project.
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