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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.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 moduleMultilanguageQnABot
Bot which uses Bot Framework v4 to answer questions in more than 60 languages using the QnA Maker and the TextTranslator API.enterprise-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