microsoft/dstoolkit-mlops-base
Support ML teams to accelerate their model deployment to production leveraging Azure
PythonMIT
Issues
- 0
Git action pipeline Support
#87 opened by ak-dwivedi - 1
Model deployment with Docker image
#29 opened by mariamedp - 0
- 0
Upgrade to latest version of azureml-sdk
#82 opened by mariamedp - 2
Artefact migration between AML workspaces
#26 opened by FlorianPydde - 3
Use MLflow as logging system
#24 opened by mariamedp - 1
- 2
Integrate many models with MLOPS pipeline
#70 opened by deepakas - 4
- 0
Not found `SetupCICD.md` page
#73 opened by kyoro1 - 1
- 1
Support for local prediction
#66 opened by michelole - 1
Feature Request - Provide High Level Deployment method to higher environments
#65 opened by jontreynes - 0
Handle Multiple Models in deployment
#62 opened by FlorianPydde - 0
Refactor Compute Configuration files
#63 opened by tranguyen221 - 5
Duplicated utils code
#55 opened by michelole - 0
- 0
- 0
Data preparation step in training pipeline
#27 opened by mariamedp - 0
- 0
Create CONTIBUTING file
#33 opened by mariamedp - 0
- 0
- 0
Create Github Action Pipelines
#45 opened by tranguyen221 - 0
Common functionalities wrapping
#40 opened by FlorianPydde - 0
Fix pipeline trigger
#37 opened by FlorianPydde - 0
Endpoint Model Profiler
#32 opened by FlorianPydde - 0
- 0
- 0
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- 1
Work-around for auto-testing after PR
#8 opened by kyoro1