Hydra is a framework for elegantly configuring complex applications

The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process is documented in this repo.

Template repository for data science lifecycle project

Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

Run your GitHub Actions locally 🚀

Schema decoration for inference code

AzureML Workshop for the 2019 Euro Tour

Natural Language Processing Best Practices & Examples

Operationalize a video anomaly detection model with Azure ML

Samples for use with MLOps

MLOps examples

MLOps using Azure ML Services and Azure DevOps

Architecture for deploying real-time scoring of machine learning models using Azure Machine Learning

Best Practices on Recommendation Systems

A collection of pre-trained, state-of-the-art models in the ONNX format

MachineLearningSamples-DeepLearningforPredictiveMaintenance

Suite of libraries and applications for collecting high volume performance counter data