In this workshop, participants will leverage national compute resources within the NSF-funded ACCESS ecosystem to run simple machine learning experiments and familiarize themselves with Pytorch. Designed as a concise introduction to the use of Pytorch, the presenter will share their experience using Pytorch for research. Topics we will cover include environment setup, various machine learning pipelines, loading pretrained models, and simple inference and classification. Participants will develop a solid foundation, from which they can continue learning and specializing within the Pytorch ecosystem. Additionally, participants will learn the resources available to them via the NSF-funded ACCESS program. We will explore modern on-demand interfaces that replace traditional slurm job scheduling.
Prerequisites: A laptop with internet capabilities. Note, participants will be contacted prior to the workshop and be given instructions on ACCESS account creation. Participants who do not follow these steps, or register late, will be unable to participate in the hands-on portion of this workshop.
Presented by Ben Keene
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