This project was completed by a student accepted on to the 2021 HPCC Systems Intern Program.
Student work experience opportunities also exist for students who want to suggest their own project idea. Project suggestions must be relevant to HPCC Systems and of benefit to our open source community.
Find out about the HPCC Systems Summer Internship Program.
This will is a continuing work from last year "Process robotics data with HPCC Systems". The main focus will be on HPCC System cluster on Kubernetes, particularly on Microsoft Azure. The project will adopt existing General Neural Network (GNN) model to local and Azure Kubernetes cluster. Some related code and environment may also need be updated for example, latest ROS, Ubuntu 20.04 and potential new TensorFlow release, etc. The student also will help to identify any necessary change or add-on in HPCC-Platform to support Machine Learning on HPCC System Cloud in both local and public cloud such as Azure, AWS and Google Cloud.
If you are interested in this project, please contact Contact Details.
Completion of this project involves:
- Learning HPCC System ML GNN
- Learning previous Robotics GNN code
- Collect or get train data (images)
- Load the image data to the cloud
- Train the model
By the mid term review we would expect you to have:
- Load image data to the cloud
- Written initial ECL code
- Trained a model with HPCC Systems GNN with some initial result
Mentor: David De Hilster <David.Dehilster@lexisnexisrisk.com>
Backup Mentor: Fortil, Godson <Godson.Fortil@lexisnexisrisk.com>
End of project