Abstract: Characterizing and predicting the training performance of modern machine learning (ML) workloads on compute systems with compute and communication spread between CPUs, GPUs, and network ...
Abstract: Fast Adversarial Training (FAT) not only improves the model robustness but also reduces the training cost of standard adversarial training. However, fast adversarial training often suffers ...
This project implements a machine learning-based deformer for Autodesk Maya that automatically predicts corrective blendshapes based on skeletal joint poses. The system learns from artist-provided or ...
Hagerstown Community College will begin an Automotive Service Technician program in 2026, and applications are open. The Workforce Solutions and Continuing Education Division is offering a program ...
MLFCrafter is a Python Tool that simplifies machine learning pipeline creation through chainable "crafter" components. Build, train, and deploy ML models with minimal code and maximum flexibility.