There are 2 repositories under azure-ml topic.
Natural Language Processing Best Practices & Examples
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
All the available resources to master MLOPS from scratch
Use QLoRA to tune LLM in PyTorch-Lightning w/ Huggingface + MLflow
Kedro plugin to support running workflows on Microsoft Azure ML Pipelines
MLOps samples and docs from real world projects in manufacturing industry
Get started with Automated Machine Learning (AutoML) and Machine Learning Operations (MLOps) in Azure Machine Learning
Hands on lab for Neo4j and Azure
Ready to use scoring engines for Image, Text and Time Series
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.
Deploy and Serve Model using Azure Databricks, MLFlow and Azure ML deployment to ACI or AKS
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.
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.
An object detection (with Keras and YOLOv3) MLflow example
Audio Analytics with Azure Machine Learning
Classifying Iris with Decision Forest Algorithm
Projects that Unleash the Power of AI to Solve Real-World Business Challenges
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.
Notebooks Python autoML forecast avec Azure ML service
Notebooks Python Azure ML service SDK pour préparation et transformation de données
Notebooks de démonstration Azure ML service
Code for my blog post on deploying a machine learning model with Azure ML Pipelines
Create and Deploy an ML model using Azure ML Studio and Azure Python SDK.
This repository serves as a how-to example on how to deploy custom Hugging Face models to Azure ML.
A demand forecasting pipeline deployed on Azure and AWS
A machine learning experiment to predict NHL penalty minutes based on matchups using Azure Machine Learning and automated machine learning
Explorando Machine-Learning-Automatizado Azure-Machine-Learning Treinar Avaliar Implantar Modelos em Minutos ⚙️
Cloud Workshop La Data Science avec Microsoft Azure
An example about how to train a tree-based decision model using Julia (1.7.2) for the popular Iris dataset in Azure ML.
Repo for the "Training a Machine Learning Model using Automated ML" lab
Repo for the "Predicting Weather Conditions using a Regression Model in Azure ML Designer" hands-on lab.