HI-ML toolbox for deep learning for medical imaging and Azure integration
Обновлено 2024-09-03 14:16:21 +03:00
Support ML teams to accelerate their model deployment to production leveraging Azure
Обновлено 2024-08-05 10:21:15 +03:00
MLOps examples
Обновлено 2024-08-02 19:21:39 +03:00
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
machine-learning
deep-learning
data-science
python
tensorflow
mlops
pytorch
hyperparameter-optimization
hyperparameter-tuning
machine-learning-algorithms
model-compression
nas
neural-architecture-search
neural-network
automated-machine-learning
automl
bayesian-optimization
deep-neural-network
distributed
feature-engineering
Обновлено 2024-07-03 13:54:08 +03:00
End-to-end proof of concept showing core MLOps practices to develop, deploy and monitor a machine learning model for an employee retention workload using Databricks and Kubernetes on Microsoft Azure.
Обновлено 2024-05-28 07:06:17 +03:00
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
azure
microsoft
machine-learning
deep-learning
devops
azureml
mlops
azuremachinelearning
mlops-environment
mlops-template
mlops-workflow
mlops-project
Обновлено 2024-04-19 06:43:42 +03:00
Guided accelerator consolidating best practice patterns, IaaC and AML code artefacts to provide a reference approach to implementing MLOps on Azure leveraging Azure ML.
Обновлено 2024-03-19 01:29:06 +03:00
Demonstration content for AML v2 and MLOps v2
Обновлено 2024-02-02 00:22:41 +03:00
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
azure
microsoft
machine-learning
deep-learning
devops
azureml
mlops
azuremachinelearning
mlops-environment
mlops-template
mlops-workflow
Обновлено 2023-07-28 08:11:02 +03:00
Azure Machine Learning と GitHub を利用した MLOps のサンプルコード
azure
microsoft
python
machine-learning
devops
azure-machine-learning
mlops
scikit-learn
responsible-ai
pytest
mypy
Обновлено 2023-06-07 05:04:08 +03:00
Quickstart template as a fork on TDSP (https://github.com/Azure/Azure-TDSP-ProjectTemplate), extending the template with a suggested structure for operationalization using Azure. Includes ARM templates as IaC for resource deployment, template build and release pipelines to enable model CI/CD, template code for working with Azure ML.
Обновлено 2023-03-28 19:45:00 +03:00
MLOps using Azure ML Services and Azure DevOps
Обновлено 2023-02-13 09:48:37 +03:00
Machine Learning Patient Risk Analyzer Solution Accelerator is an end-to-end (E2E) healthcare app that leverages ML prediction models (e.g., Diabetes Mellitus (DM) patient 30-day re-admission, breast cancer risk, etc.) to demonstrate how these models can provide key insights for both physicians and patients. Patients can easily access their appointment and care history with infused cognitive services through a conversational interface. In addition to providing new insights for both doctors and patients, the app also provides the Data Scientist/IT Specialist with one-click experiences for registering and deploying a new or existing model to Azure Kubernetes Clusters, and best practices for maintaining these models through Azure MLOps.
Обновлено 2022-12-08 19:18:29 +03:00
Use GitHub to facilitate automation, collaboration and reproducibility in your machine learning workflows.
Обновлено 2022-10-06 16:37:44 +03:00
Обновлено 2022-06-02 18:41:47 +03:00
Azure MLOps default infrastructure.
Обновлено 2022-04-15 17:39:11 +03:00
Azure MLOps classical ML project.
Обновлено 2022-04-15 17:38:41 +03:00
GitHub Action that allows you to deploy machine learning models in Azure Machine Learning.
Обновлено 2021-10-19 10:13:54 +03:00
GitHub Action that allows you to register models to your Azure Machine Learning Workspace.
Обновлено 2021-10-19 10:13:21 +03:00
GitHub Action that allows you to submit a run to your Azure Machine Learning Workspace.
Обновлено 2021-10-19 10:12:45 +03:00
GitHub Action that allows you to attach, create and scale Azure Machine Learning compute resources.
Обновлено 2021-10-19 10:12:10 +03:00
GitHub Action that allows you to create or connect to your Azure Machine Learning Workspace.
Обновлено 2021-10-19 10:11:09 +03:00
The sample that serves as a template for doing MLOps with open source projects like Kubeflow and MLFlow and tools on K8s platform
Обновлено 2021-07-15 01:46:00 +03:00