Trustworthy, Reproducible Machine Learning with Tapis

Schedule

9.00 AM - Welcome
9:05 AM - Introduction to Tapis and Tapis UI (Joe)
10:00 AM - Creating Tapis Systems (Anagha) and Tapis Apps (Steve)
10:30 AM - Half-Hour Break
11:00 AM - Running an ML Tapis application using Tapis jobs (hands-on) sentiment analysis (Anagha and Steve)
11:30 AM - Introduction to Tapis Pods and deploy Pod instances (Lecture + hands-on) (Christian)
12:10 AM - Introduction to Tapis Workflows (Lecture) (Nathan)
12:30 PM - One Hour Lunch Break
1:30 PM - Creating an ML workflow (hands-on) (Nathan)
2:15 PM - Advanced Topics
3:00 PM - Overview of more Tapis use cases and integrations (ICICLE camera traps, Astriagraph,UH) (Joe and Sean)
3:30 PM - Half-Hour Break
4:00 PM - Potential Tapis Use Cases (discussion with attendees)
4.45 PM - Tutorial wrap-up