MLOps using Azure ML Services and Azure DevOps

HI-ML toolbox for deep learning for medical imaging and Azure integration

Operationalize a video anomaly detection model with Azure ML

Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

Distributed Deep Learning using AzureML

ML DevOps using GitHub Actions and Azure Machine Learning

Samples for use with MLOps

Get started with Automated Machine Learning (AutoML) and Machine Learning Operations (MLOps) in Azure Machine Learning

A Repository for the public preview of Responsible AI in AML vNext

Run DAGs of MLflow Projects in Kubernetes using Concurrent for MLflow

Narrow the gap between research and production 😎

⚡ Supercharge your home with AI 🧠

Framework for Post-production Evaluation of LLM based ChatBots

Automating the process of training an ML model using AzureML Python SDK within an Azure Function

this repository is to visualize swagger.json by swagger UI.

An object detection (with Keras and YOLOv3) MLflow example

This project aims to predict customer booking behaviors by classifying them into three categories: Booked and Canceled Booked and Checked Out Booked and Did Not Show

This demonstrate how to deploy text classification model on Azure Machine Learning Services using azureml-sdk.