​​​🕘​ Meeting notes: Machine Learning WG

​​Dec 2, 2019

​​Attendees

​​​@Noah B​ 
​​​@Ryan A​ 
​​​@Joe H​ 
​​​@Tom​ 7
​​​@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.

​​Agenda

  • ​​AGU ”ML for climate modeling” session at 2:20PM on Thursday Dec 12, 13:40-15:40
  • ​​Workflows and pipelines in k8s:
  • ​​Would be cool to try dask-gateway on kubeflow

​​Action Item

  • ​​Thank Martin Durant? about gcsfs

​​Nov 4, 2019

​​Attendees

​​@mention yourself and add others
​​​@Joe H​ Joe Hamman
​​​@Noah B​  Noah Brenowitz
​​@Jbednar Jim Bednar
​​​@David G​  David Gagne
​​​@Stephan R​ 

​​Agenda

  • ​​Benchmark datasets (Stephan)
  • ​​(maybe) Hydrologic model replacement efforts at USGS, Alabama, NCAR, etc. (Joe and/or Jeff)

​​11/4

  • ​​Quick update
  • ​​Stephan, weather benchmarks
  • ​​benchmark of state to state simulation for weather forecasting