ACES documentation TAMU ai visualization deep-learning machine-learning neural-networks login authentication composable-systems gpu nvidia slurm bash modules vim anaconda conda programming python scikit-learn
This technology lab contains a set of sessions to help a new user start an AI project 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).
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