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This project is available as a student work experience opportunity with HPCC Systems. Curious about other projects we are offering? Take a look at our Ideas List.

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.

Project Description

This project will research, implement, and evaluate alternative methods for distributed training of Neural Networks.  Then, implement the most promising methods on HPCC Systems Platform using the GNN module. Design and implement alternative distribution models for parallelized training and evaluation of neural networks using the HPCC GNN module and Tensorflow.  Evaluate the various methods, and document the new capabilities, including guidance as to which algorithms are preferable for different scenarios.

If you are interested in this project, please contact the mentor shown below.


Mentor

Lili Xu
lili.xu@lexisnexisrisk.com

Backup Mentor: Roger Dev
roger.dev@lexisnexisrisk.com

Skills needed
  • Ability to build and test the HPCC system (guidance will be provided).
  • Ability to write test code.
  • Knowledge of ECL. Links are provided below to our ECL training documentation and online courses for you to become familiar with the ECL language.
Other resources
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