santiagxf / trunkbased-mlops
This repository showcases how to implement trunk-based development workflow while working in a Machine Learning project.
☆38Updated 2 years ago
Alternatives and similar repositories for trunkbased-mlops:
Users that are interested in trunkbased-mlops are comparing it to the libraries listed below
- Guided accelerator consolidating best practice patterns, IaaC and AML code artefacts to provide a reference approach to implementing MLOp…☆47Updated last year
- Template for getting started with automated ML Ops on Azure Machine Learning☆129Updated 2 years ago
- Support ML teams to accelerate their model deployment to production leveraging Azure☆91Updated 9 months ago
- Turning AML compute into Ray cluster☆18Updated 2 years ago
- Prescriptive MLOps scenarios for building, deploying and monitoring machine learning models with Azure Machine Learning.☆15Updated last year
- MLOps practices using Azure ML service with Python SDK and Databricks for model training☆47Updated 5 years ago
- How to provision Azure Machine Learning workspace and related resources in a secure way☆31Updated 2 years ago
- Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.☆73Updated last year
- Scalable solution for ML Observability☆36Updated 10 months ago
- Modular and minimalistic MLOps recipes☆70Updated 5 years ago
- Azure plugins for Feast (FEAture STore)☆82Updated last year
- ☆9Updated 4 years ago
- Private Preview: Responsible AI Tooling in Azure Machine Learning☆18Updated 3 years ago
- ☆196Updated 2 years ago
- Providing tools and templates to facilitate modern MLOps practices☆83Updated 8 months ago
- Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.☆126Updated 3 weeks ago
- ☆23Updated 10 months ago
- This is a template used for setting up a machine learning project running on Azure Machine Learning☆32Updated 4 years ago
- Managing Data and Model Drift with Azure Machine Learning☆43Updated 2 years ago
- Azure Databricks MLOps sample for Python based source code using MLflow without using MLflow Project.☆86Updated last month
- A workshop for doing MLOps on Azure Machine Learning☆34Updated 3 years ago
- GitHub Action that allows you to attach, create and scale Azure Machine Learning compute resources.☆20Updated 3 years ago
- GitHub Action that allows you to deploy machine learning models in Azure Machine Learning.☆41Updated 3 years ago
- ML Ops demo for Azure Databricks and Azure ML SDK☆21Updated 5 years ago
- ☆19Updated 3 years ago
- Demonstrate samples and good engineering practice for operationalizing machine learning solutions.☆21Updated 3 years ago
- Solution accelerator to help build Machine Learning Lineage☆33Updated 2 years ago
- A template repository for quickly adopting Azure Machine Learning☆26Updated 3 years ago
- Azure AutoML for Images. AutoML for Images is part of Azure ML. AutoML for images is available in public preview.☆30Updated 3 years ago
- An example repo for provisioning a complete Azure Machine Learning environment through Terraform☆24Updated 2 years ago