Topic: azureml Goto Github
Some thing interesting about azureml
Some thing interesting about azureml
azureml,Get started with Automated Machine Learning (AutoML) and Machine Learning Operations (MLOps) in Azure Machine Learning
User: aharyanto
azureml,⚡ Supercharge your home with AI 🧠
User: akshaya-a
azureml,Azure Machine Learning Cheat Sheets
Organization: azure
Home Page: https://azure.github.io/azureml-cheatsheets
azureml,Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
Organization: azure
Home Page: https://docs.microsoft.com/azure/machine-learning
azureml,Azure Machine Learning SDK for R
Organization: azure
Home Page: https://azure.github.io/azureml-sdk-for-r/
azureml,Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
Organization: azure
Home Page: https://docs.microsoft.com/azure/machine-learning/service/
azureml,Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
Organization: azure
Home Page: https://learn.microsoft.com/en-us/azure/machine-learning/concept-model-management-and-deployment
azureml,Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
Organization: azure
Home Page: https://learn.microsoft.com/en-us/azure/machine-learning/concept-model-management-and-deployment
azureml,Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
Organization: azure
Home Page: https://learn.microsoft.com/en-us/azure/machine-learning/concept-model-management-and-deployment
azureml,A Repository for the public preview of Responsible AI in AML vNext
Organization: azure
azureml,Create an environment within AzureML that supports Deepspeed training, execute some example training processes thereon.
User: cdw
azureml,Run DAGs of MLflow Projects in Kubernetes using Concurrent for MLflow
User: concurrent-ai
Home Page: https://concurrent-ai.org
azureml,A workshop for doing MLOps on Azure Machine Learning
User: csiebler
azureml,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.
User: daekeun-ml
azureml,微软机器学习(Azure Machine Learning)快速入门与实战
User: djangopeng
azureml,MLOps Pipeline & fine-tuned deep learning model to classify between various food items 🍎🚀
User: harinik05
azureml,Udacity first project
User: hoanglonghotarou
azureml,this repository is to visualize swagger.json by swagger UI.
User: kazuonuki
azureml,In tune with conventional big data and data science practitioners’ line of thought, currently causal analysis was the only approach considered for our demand forecasting effort which was applicable across the product portfolio. Experience dictates that not all data are same. Each group of data has different data patterns based on how they were sold and supported over the product life cycle. One-methodology-fits-all is very pleasing from an implementation of view. On a practical ground, one must consider solutions for varying needs of different product types in our product portfolio like new products both evolutionary and revolutionary, niche products, high growth products and more. With this backdrop, we have evolved a solution which segments the product portfolio into quadrants and then match a series of algorithms for each quadrant instead of one methodology for all. And technology stack would be simulated/mocked data(Hadoop Ecosystem) > AzureML with R/Python > Zeppelin.
User: kumarchinnakali
azureml,Samples for fine-tuning HuggingFace models with AzureML
User: linydub
azureml,Azure ML + Dask = OSS Data Science & ML @ Scale
User: lostmygithubaccount
azureml,ML DevOps using GitHub Actions and Azure Machine Learning
User: marvinbuss
azureml,@Microsoft Data Camp (Analytics with Azure Machine Learning)
User: melzoghbi
azureml,Automating the process of training an ML model using AzureML Python SDK within an Azure Function
User: michhar
azureml,Official Azure Reference Architectures for AI workloads
Organization: microsoft
Home Page: https://docs.microsoft.com/en-us/azure/architecture/reference-architectures/
azureml,Batch scoring deep learning models with AML
Organization: microsoft
azureml,AKS Deployment Tutorial
Organization: microsoft
azureml,Deploying a Batch Scoring Pipeline for Python Models
Organization: microsoft
azureml,Architecture for deploying real-time scoring of machine learning models using Azure Machine Learning
Organization: microsoft
azureml,Distributed Deep Learning using AzureML
Organization: microsoft
azureml,HI-ML toolbox for deep learning for medical imaging and Azure integration
Organization: microsoft
Home Page: https://aka.ms/hi-ml
azureml,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.
Organization: microsoft
Home Page: https://aka.ms/innereye
azureml,Example of using HyperDrive to tune a regular ML learner.
Organization: microsoft
azureml,Operationalize a video anomaly detection model with Azure ML
Organization: microsoft
azureml,MLOps using Azure ML Services and Azure DevOps
Organization: microsoft
azureml,The work shown in this repository is part of the Udacity scholarship program in collaboration with Microsoft for Machine Learning Engineer Nanodegree.
User: murphy999
azureml,Narrow the gap between research and production 😎
User: nateraw
azureml,AutoML for Images templates for Python SDK v2
User: retkowsky
azureml,Instance Segmentation CV model with AutoML for Images
User: retkowsky
azureml,Traffic Flow Analysis example
User: retkowsky
azureml,Workshop interfaces graphiques Azure ML
User: retkowsky
azureml,Workshop MLOps Azure
User: retkowsky
azureml,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.
User: shobhit70
azureml,Natural Language Processing. From data preparation to building model and deploy the model to web service
User: sweetflowerjulia
azureml,Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...
Organization: thoughtworks
azureml,
User: wmpauli
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.