Reproduce, Rerun, Repeat: The Fun Way to Learn Machine Learning!
This month's user experiment blog discusses a group's experience in reproducing machine learning research on Chameleon!
This month's user experiment blog discusses a group's experience in reproducing machine learning research on Chameleon!
In today’s Tips & Tricks post we explore the idea of practical reproducibility: how to make experiments not only reproducible but reproducible in a practical way, i.e. making it as natural to play with science as it is today to read about it via publications. To make this happen we need your help – your experiments packaged in a way that will allow others to easily build upon them by extending them. Let us know what you think!
This changelog is packed! The Chameleon User Meeting Call for Presentations is out, and we have new storage FAST’23 experiment artifacts. We finally have an Ubuntu 22 appliance, and many upgrades to the images in general, more GUI improvements, a faster portal, and CHI-in-a-box is easier to get started with.
The Call for Presentations at the Chameleon User Meeting is out! We invite you to share your resaerch as well as your experiences working with the Chameleon testbed! As in prior years, to facilitate this discussion we are soliciting proposals for brief presentations (15-20 minutes) based on your resaerch or education work with Chameleon. The deadline to submit presentation proposals is April, 3rd, 2023 and as in prior years the top ten submissions will be awarded travel support to the meeting.
We are hiring! Come and join the team to help us build and operate the kick-ass Chameleon experimental platform as well as develop new ideas in edge computing and reproducibility. You will be working on the bleeding edge, state-of-the-art technologies, evaluating and extending open source systems and tools, and developing new features -- and most importantly working with our amazing community of users who take our breath away every day with their cool resaerch ideas!