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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. 

3) Started working on CodaLab V2 and got Miccai 2020 challenge loaded into it. There are still some issues as during a submission it never registers a pass.

Planned for next month

1) Implement Docker image submission with real inference implemented on GPU remote machine.

2) Make edits to PR website as needed.

3) Try to get issue with V2 sorted out.


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.
  • Met with Eric Carmichael from CKCollab ( He is the author of CodaLab V1 and V2 and runs a 6 person company at

Things that could be improved:

  • My current understanding of pyTorch
  • Identifying proper Azure OSes that have GPU enabled software and identify which GPUs run on them.
Bi-weekly Meeting #1


Bi-weekly Meeting #2



Trained my first model in pyTorch


Got Miccai 2020 loaded into V2 of CodaLab



DescriptionResolutionStatusCreation DateClose Date
Create Docker imagestartedpending


Getting NIH badgestartedpending




DescriptionMitigationRankStatusCreation DateRealizationClose Date

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