azureml

Azure/azureml-examples

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

microsoft/MLOps

MLOps examples

microsoft/MLOpsPython

MLOps using Azure ML Services and Azure DevOps

Azure/mlops-v2

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

thoughtworks/mlops-platforms

Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...

microsoft/hi-ml

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

Azure/mlops-templates

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

microsoft/MLOps_VideoAnomalyDetection

Operationalize a video anomaly detection model with Azure ML

Azure/azureml-sdk-for-r

Azure Machine Learning SDK for R

Azure/mlops-project-template

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

microsoft/AIReferenceArchitectures

Official Azure Reference Architectures for AI workloads

microsoft/MLHyperparameterTuning

Example of using HyperDrive to tune a regular ML learner.

microsoft/az-ml-realtime-score

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

marvinbuss/MLDevOps

ML DevOps using GitHub Actions and Azure Machine Learning

microsoft/DistributedDeepLearning

Distributed Deep Learning using AzureML

Azure/azureml-cheatsheets

Azure Machine Learning Cheat Sheets

csiebler/azure-machine-learning-mlops-workshop

A workshop for doing MLOps on Azure Machine Learning

microsoft/az-deep-realtime-score

AKS Deployment Tutorial

DjangoPeng/aml-101

微软机器学习（Azure Machine Learning）快速入门与实战

melzoghbi/DataCamp

@Microsoft Data Camp (Analytics with Azure Machine Learning)

microsoft/az-deep-batch-score

Batch scoring deep learning models with AML

microsoft/InnerEye-Gateway

The InnerEye-Gateway is a Windows service that acts as a DICOM end point to run inference on https://github.com/microsoft/InnerEye-DeepLearning models.

microsoft/az-ml-batch-score

Deploying a Batch Scoring Pipeline for Python Models

AHaryanto/azure-automl-mlops

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

microsoft/MLOpsSamples

Samples for use with MLOps

daekeun-ml/azure-llm-fine-tuning

This hands-on walks you through fine-tuning an open source LLM on Azure and serving the fine-tuned model on Azure. It is intended for Data Scientists and ML engineers who have experience with fine-tuning but are unfamiliar with Azure ML.

dem108/AMLWorkshop-IotEdge-DevOps

This repo has some proposed agenda for Azure Machine Learning related hands-on workshops.

Sweetflowerjulia/NLP-tag-classification-with-GloVe-and-LSTM

Natural Language Processing. From data preparation to building model and deploy the model to web service

linydub/azureml-greenai-txtsum

Samples for fine-tuning HuggingFace models with AzureML

msioen/ai-tagger

A small mac utility to watch folders and automatically classify image documents.

wmpauli/knowledge_distillation

Azure/RAI-vNext-Preview

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

lostmygithubaccount/dasky

Azure ML + Dask = OSS Data Science & ML @ Scale

Shobhit70/SmartParkingSystem

As part of this challenge we have tried to built a brain for a smart parking app using image processing and machine learning using python libraries. Our project takes the image of a parking lot and at any time can provide the list of total parking spaces and how many available for parking.

concurrent-ai/concurrent

Run DAGs of MLflow Projects in Kubernetes using Concurrent for MLflow