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MLDevOps
ML DevOps using GitHub Actions and Azure Machine LearningExplainableML-Vision
This repository introduces different Explainable AI approaches and demonstrates how they can be implemented with PyTorch and torchvision. Used approaches are Class Activation Mappings, LIMA and SHapley Additive exPlanations.mlflow-on-azure
Project to deploy MLflow Tracking Server on an Azure Web App for Containers (Linux).PurviewAutomation
Event-Driven Onboarding, Scanning and Classification of Data Sources and Setup of Lineage to Azure Purview.AzureMLWorkshop
OpenAI-MLOps
MLOps for Azure Open AI.SqlDwDeployment
SQL Data Warehouse Deployment Automation using SDK-style database projects, VS database projects and sqlpackageMS-AnomalyDetector
This notebook demonstrates how to use the Microsoft Azure Anomaly Finder Service.Terraform-LandingZones
Deployment of Landing Zone Platform using the CAF Terraform moduleenterprise-ml
Enterprise Template Machine Learning Ops Templatemlops
CognitiveServices-SpeechAndLUIS
Tool to test the capabilities of the Microsoft Speech and LUIS service.small_samples
Small samples from daily work.LakeDatabaseConverter
Converter to convert Erwin or ER Studio models into Lake Database modelLove Open Source and this site? Check out how you can help us