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  • Created by Unknown User (bearceben), last modified on May 14, 2020

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1) Learn the basics of pyTorch in order to build sample submission that exercises the GPU.

2) Update form with edits from Ulli and Carolyn. 


Planned for next month

1) Implement Docker image submission with real inference implemented

2) Make edits to PR website as needed.

Comments

Things that went well:

  • pyTorch is approachable and I'm getting the hang of it. Just trained my very first model. Essentially running this on the path\rad data is all we need.

Things that could be improved:

  • My current understanding of pyTorch
MeetingDate
Bi-weekly Meeting #1

 

Bi-weekly Meeting #2

 

Milestones

DescriptionDate
Trained my first model in pyTorch

 



Task

DescriptionResolutionStatusCreation DateClose Date
Create Docker imagestartedpending

 

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Getting NIH badgestartedpending

 

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Risks

DescriptionMitigationRankStatusCreation DateRealizationClose Date







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