OSCON 2019 Notes

Jul 16, 2019

Notes from attending the ML Ops sessions during OSCON 2019.

Model serving pipelines using a combination of Kubeflow, Seldon-Core and Argo:

https://docs.seldon.io/projects/seldon-core/en/latest/index.html https://argoproj.github.io/argo/

IBM CODAIT:

https://developer.ibm.com/code/open/centers/codait/

IBM Data Asset Exchange:

https://developer.ibm.com/exchanges/data/

RedHat OpenShift Container Platform: https://www.openshift.com/products/container-platform ML Workflows: https://github.com/willb/openshift-ml-workflows-workshop
Serverless / Algorithmia: Presentation: https://docs.google.com/presentation/d/1LNb69-dTqNCmFawuOOj1tNVZuQ1QA-Jqbj-LPunBK7w/edit#slide=id.g3974aef880_0_0 Example code: https://github.com/algorithmiaio/sample-apps/tree/master/algo-dev-demo/digit_recognition
Kubeflow deployment example: Blog post: https://towardsdatascience.com/mlapp-419f90e8f007

https://github.com/marketplace/issue-label-bot

Kubeflow pipelines: https://codelabs.developers.google.com/codelabs/cloud-kubeflow-pipelines-gis/index.html?index=../..index#0
Open Data Hub: https://opendatahub.io/
Rad Analytics: https://radanalytics.io/tutorials