ACES: AI/ML Techlab in Jupyter Notebooks

Event Type

Webinar

Sponsor

ACCESS, exas A&M University

Date

Sep 23, 2025   1:30 - 4:00 pm   Central Time

Speaker

Dr. Zhenhua He, Texas A&M University

Registration

Registration

E-Mail

events@hprc.tamu.edu

Views

3

Originating Calendar

ACCESS Training Events

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 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). 

Participants will:

• Access the ACES cluster
• Learn to use JupyterLab app on ACES OpenOnDemand (OOD) portal
• Learn to load software modules and create virtual environment for AI/ML projects
• Learn two Python libraries (Pandas and Matplotlib) for data science
• Learn fundamentals of AI/ML
• Learn how to use the scikit-learn and keras libraries for ML and DL applications.

This session will be organized into four labs, as follows:

• Lab 1 - Jupyter Notebook (15 mins)

  We will create and activate a virtual environment and run JupyterLab on the HPRC Portal.

• Lab 2 - Data Exploration (30 mins)

  We will go through simple examples with two popular Python modules: Pandas and Matplotlib for simple data exploration.

• Lab 3 - Machine Learning (30 minutes)

  We will learn to use scikit-learn for linear regression and classification applications.

• Lab 4 - Deep Learning (30 minutes)

  We will learn how to use Pytorch to create and train a simple image classification model with deep neural networks (DNN).

Prerequisite(s): Current ACCESS ID, basic Python skills