🕘 Meeting notes: Machine Learning WG

Jan 6, 2019

Attendees

@Joe H 
@David G 

Quick update:

  • Joe:
  • Proposals
  • Still working on Met disaggregation ML work
  • David:
  • Getting ready for AMS
  • Proposals
  • Jeff:
  • Working on continental scale streamflow prediction, finishing up data prep
  • Zhonghua
  • working on climate temperature emulator
  • using xgboost

Agenda:

  • NVIDIA Jlab extension for GPUs


Action Items:

Dec 2, 2019

Attendees

@Noah B 
@Ryan A 
@Joe H 
@Tom
@Sebastian A 

Quick update:
  • Noah: AGU next week, presentations on ML for climate modeling on Thursday
  • Ryan: 
  • Changes to data catalogs, turning off free egress (requester pays)
  • Still working on ML environment in the cloud
  • Tom: gcsfs now supports requester pays and fallback project auth. 
  • Sebastian: new data scientist at UW, a bit of ML background, going to work on GPUs on the cloud
  • Joe
  • ML Cloud Environment
  • ML for met disaggregation: Looking into best practices with packaging trained ML models in a python api.
  • Tom pointed us to ONNX which looks promising.