About us#
PyVBMC is an open-source Python software for resource-efficient statistical inference.
PyVBMC is developed by members (past and current) of the Machine and Human Intelligence Group at the University of Helsinki and ELLIS Institute Finland. Work on the PyVBMC package is supported by the Research Council of Finland (grants 356498 and 358980 to Luigi Acerbi) and its Flagship programme, the Finnish Center for Artificial Intelligence FCAI.
Development team#
PyVBMC is actively developed mainly by members of the Machine and Human Intelligence Group at the University of Helsinki.
Core developers#
Active developers, in order of joining:
Luigi Acerbi, University of Helsinki
Chengkun Li, University of Helsinki
Francesco Silvestrin, University of Helsinki
Development team alumni#
Developers who have made important contributions in the past, but are no longer contributing actively:
Marlon Tobaben (2021, while at: University of Helsinki)
Mikko Aarnos (Summer 2021, while at: University of Helsinki)
Bobby Huggins (2022–2023, while at: University of Helsinki → PhD student at Washington University in St. Louis)
Join the team#
If you are interested in contributing to PyVBMC please see the instructions for developers and contributors for general development guidelines. We welcome pull requests, bug reports, feature requests, etc. For other opportunities to work with us please see the homepage for the Machine and Human Intelligence Group, or contact the group’s Principal Investigator at luigi.acerbi@helsinki.fi.