Here are a few projects I have worked on
- DGL and SageMaker for Fraud Detection in heterogeneous graphs shows to build and train Graph Neural Networks (GNN) that can detect fraud and abuse in datasets
- DGL and SageMaker for Entity Resolution shows how to perform cross device entity resolution in identity graphs by casting it as a link prediction problem in a heterogeneous graph and training a GNN to predict new identity links
- AWS Computer Vision: Getting Started with GluonCV is an online course on the coursera platform that provides an introduction to and overview of Computer Vision (CV), Machine Learning (ML) with Amazon Web Services (AWS), and how to build and train a CV model using the Apache MXNet and GluonCV toolkit.
- Visual Bin Inspection with the following description
