Accelerating AI/ML Workflows on a Composable Cyberinfrastructure
This technology lab (a hands-on short course) contains a set of activities to help a new user start with machine learning projects on the ACES cluster, a composable accelerator testbed at Texas A&M University. You will learn how to create and activate a virtual environment, manipulate and visualize data with Pandas and Matplotlib, use Scikit-learn for linear regression and classification applications, and use Pytorch to create and train a simple image classification model with deep neural networks (DNN).
More information about this tutorial at https://hprc.tamu.edu/training/aces_ai_techlab.html