azure-ml

Natural Language Processing Best Practices & Examples

Unified Model Serving Framework 🍱

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

Time Series Forecasting Best Practices & Examples

Kedro plugin to support running workflows on Microsoft Azure ML Pipelines

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

Ready to use scoring engines for Image, Text and Time Series

Deploy and Serve Model using Azure Databricks, MLFlow and Azure ML deployment to ACI or AKS

MLOps samples and docs from real world projects in manufacturing industry

The Vitastic solution accelerator provides a pre-packaged solution to build web interfaces that serve object detection models deployed in Azure ML or Custom Vision with customizable themes.

An object detection (with Keras and YOLOv3) MLflow example

Exemple AutoML avec Azure ML service SDK

Notebooks Python Azure ML service SDK pour préparation et transformation de données

Notebooks de démonstration Azure ML service

Audio Analytics with Azure Machine Learning

An E2E solution of the Data Resources on Azure using the Snapshot Serengeti dataset. This E2E solution focuses Azure Synapse Analytics, Power Bi & the Azure Data Factory.

Projects that Unleash the Power of AI to Solve Real-World Business Challenges

Classifying Iris with Decision Forest Algorithm

Notebooks Python autoML forecast avec Azure ML service

Code for my blog post on deploying a machine learning model with Azure ML Pipelines