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GitHub topics: operationalizing-machine-learning

kb-open/CROMP

The official implementation of CROMP (Constrained Regression with Ordered and Margin-sensitive Parameters) along with experimental test pipeline

Language: Python - Size: 2.56 MB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

BeamStackProj/beamstack-cli

Language: Go - Size: 95.3 MB - Last synced at: 5 months ago - Pushed at: 9 months ago - Stars: 3 - Forks: 0

Venu212/Operationalizing-Machine-Learning-Azure-ML

A classification algorithm is used to train model using AUTO ML and the best model that provides better accuracy is selected and deployed in Azure container instance(ACI). The deployed model provides end point to send request to REST API and also Swagger URI. Document is generated using swagger and models are consumed using end point.

Language: Jupyter Notebook - Size: 3.25 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0