GitHub

mayjackass/ML-Corrective-Deformer-Maya-Public

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 ...
GitHub

ML Pipeline Automation Tool - Chain together data processing, model training, and deployment with minimal code

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.
IEEE

TOPO-X: Co-optimize Flow Scheduling, Topology, and ML Training Parallelism

Abstract: The rapid advancement of large-scale deep neural networks and large language models has intensified the demand for highly efficient GPU clusters. However, existing distributed training ...
IEEE

When In-Network Computing Meets Distributed Machine Learning

Abstract: Emerging In-Network Computing (INC) technique provides a new opportunity to improve application’s performance by using network programmability, computational capability, and storage capacity ...