This BoF is intended to be an informal gathering and exchange of members of the C++ community that use, are interested in, or implement machine learning libraries, primitives or applications targeting pure C++ or mixed language use cases.
Concretely, the session will loosely follow this format:
- Each attendee gives a short summary of their work, project or potential use case involving machine learning with C++;
- We identify common themes and pain points in these use cases and discuss how these can be addressed. Since authors of C++ ML libraries will be present, feasibility can be assessed instantly;
- Authors of ML-related libraries may give a short (lightning talk style) presentation of their work;
While active participation from every attendee will benefit the session, participants who are enthusiastic about machine learning and simply want to listen are welcome too.
