azure-ml
There are 2 repositories under azure-ml topic.
microsoft / nlp-recipes
Natural Language Processing Best Practices & Examples
Language:Python 6437Azure / MachineLearningNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
Language:Jupyter Notebook 4306Pythondeveloper6 / Awesome-MLOPS
All the available resources to master MLOPS from scratch
zjohn77 / lightning-mlflow-hf
Use QLoRA to tune LLM in PyTorch-Lightning w/ Huggingface + MLflow
Language:Python 64getindata / kedro-azureml
Kedro plugin to support running workflows on Microsoft Azure ML Pipelines
Language:Python 39Azure-Samples / MLOpsManufacturing
MLOps samples and docs from real world projects in manufacturing industry
Language:Python 25neo4j-partners / hands-on-lab-neo4j-and-azure
Hands on lab for Neo4j and Azure
Language:Jupyter Notebook 18AHaryanto / azure-automl-mlops
Get started with Automated Machine Learning (AutoML) and Machine Learning Operations (MLOps) in Azure Machine Learning
Language:Python 13Jcardif / SerengetiDataLab
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.
Language:Bicep 9Ready to use scoring engines for Image, Text and Time Series
Language:Python 8GBuenaflor / 01azure-aks-databricks-mlflow-azureML-deployment
Deploy and Serve Model using Azure Databricks, MLFlow and Azure ML deployment to ACI or AKS
Language:Jupyter Notebook 7The 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.
Language:JavaScript 6industrial-edge / reference-architecture-for-industrial-ai-on-azure
This article presents a reference architecture to enhance the compatibility of Siemens Industrial Artificial Intelligence (Industrial AI) products with Microsoft Azure.
Language:Python 4mollybeach / genaigraphics
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 👾
Language:JavaScript 4Fatiima-Ezzahra / Operationalizing-Machine-Learning-in-Azure
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.
Language:Jupyter Notebook 3michhar / mlflow-keras-example
An object detection (with Keras and YOLOv3) MLflow example
Language:Python 3- Near-Real-Time-Fraud-and-Compliance-Analytics-Accelerator
MSUSAzureAccelerators / Near-Real-Time-Fraud-and-Compliance-Analytics-Accelerator
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.
Language:Python 3 retkowsky / Audio_Analytics_With_AzureML
Audio Analytics with Azure Machine Learning
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abhiojha8 / Operationalizing_Machine_Learning_Azure
Create and Deploy an ML model using Azure ML Studio and Azure Python SDK.
Language:Jupyter Notebook 2dishadas168 / demand-forecasting-ebay
A demand forecasting pipeline deployed on Azure and AWS
Language:Python 2IntegerMan / HockeyPenaltyPrediction
A machine learning experiment to predict NHL penalty minutes based on matchups using Azure Machine Learning and automated machine learning
Language:Jupyter Notebook 2jcdesousa / azure-ml-experiment
Classifying Iris with Decision Forest Algorithm
Language:Jupyter Notebook 2- Modern-Artificial-Intelligence
jesussantana / Modern-Artificial-Intelligence
Projects that Unleash the Power of AI to Solve Real-World Business Challenges
Language:Jupyter Notebook 2 Notebooks Python autoML forecast avec Azure ML service
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Notebooks Python Azure ML service SDK pour préparation et transformation de données
Language:Jupyter Notebook 2Notebooks de démonstration Azure ML service
Language:HTML 2santiagxf / azureml-julia
An example about how to train a tree-based decision model using Julia (1.7.2) for the popular Iris dataset in Azure ML.
Language:Jupyter Notebook 2vladiliescu / blog-deploying-models-with-azure-ml-pipelines
Code for my blog post on deploying a machine learning model with Azure ML Pipelines
Language:Jupyter Notebook 2megarj / Microsoft-Azure-AI-Fundamentals
Explorando Machine-Learning-Automatizado Azure-Machine-Learning Treinar Avaliar Implantar Modelos em Minutos ⚙️
This repository contains the Request for Comments (RFC) document for the GenAiGraphics. This project aims to enhance user experience by providing an innovative solution that combines advanced 3D graphics rendering and AI-driven interactions to guide users through complex technology setups.
IP and use case assets for CSU
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