Center for Artificial Intelligence Innovation at NCSA is organizing online training sessions throughout the Spring 2023 semester to help users to get started with deep learning projects on HAL. These sessions are designed for novice users to learn about the system and start building deep neural network models. To sign up for training, just request a HAL account prior to the training session and mention "spring training" when describing how the system will be used in your project. Trainings will take place every Wednesday during the fall semester from 3-5pm via Zoom.
Training Link: https://go.ncsa.illinois.edu/CAIIHALTraining
March 22, 2023: DRYML an open source meta-library for machine learning and more - Matthew Krafczyk
Training Overview: DRYML aims to empower the Machine Learning practitioner to spend less time writing boilerplate code, and more time implementing new techniques. DRYML provides a model serialization framework along with serialization implementation for many common ML frameworks and model types, a framework for defining and training models on a specific problem, and a system to compare models from different ML frameworks on the same footing.
Students will leverage their knowledge across multiple ML frameworks such as tensorflow, pytorch, and sklearn to build new models, optimize them, and compare them across ML frameworks.
Sessions will be recorded and available on the CAII website after the training.