liupeirong/MLOpsManufacturing
Demonstrate samples and good engineering practice for operationalizing machine learning solutions.
PythonNOASSERTION
Issues
- 1
Integrate Azure-MLOps Hub CLI
#24 opened by h2floh - 1
- 1
broken links in edge-object-detection sample
#87 opened by liupeirong - 0
- 0
- 0
- 0
- 0
- 0
- 0
- 0
Add Model comparison to repo
#75 opened by simplywilson - 0
- 2
Wrap custom business logic in AML pipeline
#38 opened by liupeirong - 0
Update READMEs
#70 opened by h2floh - 1
Tool to tag and search Azure ML Datasets
#46 opened by liupeirong - 2
Azure DevOps execution strategy per compute environment (dev, test, staing, prod)
#47 opened by liupeirong - 1
Provide guidance on managing AML environments
#44 opened by liupeirong - 1
RBAC for source code in AML portal
#39 opened by liupeirong - 8
AML Observability Library
#17 opened by liupeirong - 1
Azure ML SDK mocking and unit testing
#40 opened by liupeirong - 0
Console Logger approach
#29 opened by h2floh - 1
- 1
Azure ML Pipeline Steps - appendable template
#48 opened by liupeirong - 1
Cleaner variable management
#41 opened by liupeirong - 1
- 1
- 0
- 0
Demonstrate that the existing pipeline for Tensorflow Object Detection can be adapted to training a Yolo model
#16 opened by liupeirong - 0
CI Agent/Tooling: How to enable unit testing for different Machine Learning frameworks
#28 opened by h2floh - 0
Add contribution guide
#7 opened by h2floh - 0
- 0
Clean up variables in env.example, variables-template.yml, variable groups, env_variables.py
#26 opened by liupeirong - 0
Refactor folder structure
#30 opened by h2floh - 1
Unittest and mocking approach
#22 opened by h2floh - 2
- 3
- 0
Adding devcontainer
#8 opened by h2floh - 1
- 0
Devcontainer does not build nor run correctly when repo is cloned on Windows filesystem
#11 opened by h2floh - 0