Building, growing and sustaining ML communities

Martin Andrews, Sam Witteveen

Keywords: community, deep learning, machine learning, tensorflow, pytorch, in-person, singapore

TL;DR: Some tips for MLOSS projects that want to grow their communities

Abstract:

While there are multiple research-based groups for the ML community around the
world, the adoption of these skills by a broader base of developers will require
new communities that reach beyond researchers to flourish at a large scale.

The Singapore TensorFlow & Deep Learning community is a group of over 3,000
people from different backgrounds and levels that is pushing the adoption of ML in
South-East Asia, via monthly in-person meetings, guest talks, and special events.

In the proposed short talk, we will present some of the challenges, lessons learned
and solutions found to building machine learning communities at scale.

Decision: accept