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The Artificial Creative Intelligence and Data Science (ACIDS) group is part of the RepMus team at IRCAM laboratory and is hell-bent on trying to model musical creativity by developing innovative artificial intelligence models.


The major goal of this team is to produce creative models that can be useful for humans to create inspiring art.


Research projects

We are currently actively developing and collaborating on research on artificial creativity

Learn more about our projects


Open-source models, datasets & codes

We are committed to open source and open data

Our team produces open-source models, downloadable softwares and open-data sets that are distributed freely for anyone to use.

Fully open source research projects

Accelerating research

All of our research projects are entirely open source. You can find the corresponding code in our GitHub


Open data for innovative creativity problems

We introduced several questions surrounding human creativity and how to model it. We share all our data openly

Finalized software for augmented creativity

Our end goal is to produce usable software for creativity, that we also share for free

Download datasets and codes


Creative outputs

Our projects are oriented towards assisting creativity in music composition

Our research work has been featured in a wide variety of contemporary music production, were used for musical compositions from composers such as Jonathan Harvey, Yan Maresz and Marco Suarez.