Natural Language Processing Best Practices & Examples

• UpdatedAug 30, 2022
• Python

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

• UpdatedMar 14, 2025
• Jupyter Notebook

All the available resources to master MLOPS from scratch

• UpdatedMay 7, 2024

Use QLoRA to tune LLM in PyTorch-Lightning w/ Huggingface + MLflow

• UpdatedNov 15, 2023
• Python

Kedro plugin to support running workflows on Microsoft Azure ML Pipelines

• UpdatedMar 17, 2025
• Python

MLOps samples and docs from real world projects in manufacturing industry

• UpdatedOct 25, 2023
• Python

Hands on lab for Neo4j and Azure

• UpdatedJun 20, 2024
• Jupyter Notebook

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

• UpdatedNov 21, 2023
• Python

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.

• UpdatedJul 19, 2023
• Bicep

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

• UpdatedMay 31, 2023
• Python

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

• UpdatedAug 30, 2020
• Jupyter Notebook

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.

• UpdatedOct 3, 2023
• JavaScript

Sound event detection

• UpdatedJul 26, 2023
• Jupyter Notebook

Audio Analytics with Azure Machine Learning

• UpdatedOct 25, 2022
• Jupyter Notebook

Exemple AutoML avec Azure ML service SDK

• UpdatedOct 1, 2020
• Jupyter Notebook

The Near Real-time Fraud and Compliance Analytics Accelerator simplifies the fraud detection and reporting process, cutting down the time to action to prevent fraud as well as enables near real-time dashboards and analytics for streaming data.

• UpdatedNov 10, 2022
• Python

This project is part of the Udacity Azure ML Nanodegree. In this project, we use Azure to configure a cloud-based machine learning production model, deploy it, and consume it. We also create, publish, and consume a pipeline.

• UpdatedApr 18, 2021
• Jupyter Notebook

This article presents a reference architecture to enhance the compatibility of Siemens Industrial Artificial Intelligence (Industrial AI) products with Microsoft Azure.

• UpdatedOct 21, 2024
• Python

An object detection (with Keras and YOLOv3) MLflow example

• UpdatedSep 13, 2018
• Python

Application merges WebGL technology with Three.js for 3D rendering and Azure ML for AI chat functionalities, empowers users to interact with realistic 3D models that demonstrate step-by-step procedures. The goal is to provide intuitive visual aids that simplify the setup process reduce user errors, and enhance overall user satisfaction 👾

• UpdatedNov 12, 2024
• JavaScript