Aim of this repository: Empower and educate on the capabilities, features and the best practices surrounding Azure Machine Learning.
- End-2-end pipeline for model training, model registering & deployment including safe rollout for managed online endpoints,
- GPU distributed training using PyTorch,
- Hyper-parameter sweep using the Azure ML SDK v2,
- MLOps using Azure DevOps and Azure Machine Learning,
- Registering datastores programmatically including the new external data conenections (i.e. to Snowflake),
- Responsible AI dashboard example
- R script as a componetnt in a pipeline,
- Creating a custom environment with a private GitHub package,
- Many models at scale