This is usually a group for biologists learning to code, but due to recent demand we are mostly hosting Deep Learning study sessions these days. Deep Learning is an exciting technology with new applications emerging every day. Everybody is welcome to come explore with us.
This group is also for anyone interested in deep/machine learning and lab automation for the life sciences. We value open science and organize peer-instructed training events for biologists looking to improve their computing skills . Our community is composed of people with diverse and complementary skills sets, ranging from Phd's in biotech, software developers, students, makers and artists. Everyone is welcome.
This is an emerging field so feel free to propose a meeting. Let's get creative with topics like...
Efforts are afoot to standardize experimental protocols to enable reproducible, robust and composable work in biological research. We will survey a variety of methods using code:
- Autoprotocol (https://developers.transcriptic.com/docs/getting-started) out of Transcriptic (https://www.transcriptic.com/)
- Antha (https://www.antha-lang.org/) from Synthase (http://www.synthace.com/)
- whatever we can find about the Symbolic Lab Language (Wolfram-esque backend to Emerald Cloud Labs (http://emeraldcloudlab.com/))