bepuca / azureml-scaffolding
β29Updated 3 weeks ago
Related projects β
Alternatives and complementary repositories for azureml-scaffolding
- Prescriptive MLOps scenarios for building, deploying and monitoring machine learning models with Azure Machine Learning.β15Updated 11 months ago
- π Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.β143Updated 7 months ago
- Template for getting started with automated ML Ops on Azure Machine Learningβ126Updated 2 years ago
- Support ML teams to accelerate their model deployment to production leveraging Azureβ89Updated 3 months ago
- Azure plugins for Feast (FEAture STore)β82Updated 10 months ago
- MLOps maturity assessmentβ57Updated last year
- β38Updated 2 years ago
- Example repo to kickstart integration with mlflow pipelines.β73Updated 2 years ago
- Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflowβ230Updated last year
- Template repository for data science lifecycle projectβ180Updated 4 years ago
- Shows how to spin up a DASK cluster on AML Computeβ29Updated 3 years ago
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.β248Updated last month
- A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)β203Updated 2 weeks ago
- Joining the modern data stack with the modern ML stackβ193Updated last year
- β30Updated last year
- π§ͺ Simple data science experimentation & tracking with jupyter, papermill, and mlflow.β174Updated 4 months ago
- Modular and minimalistic MLOps recipesβ69Updated 4 years ago
- Plugins, extensions, case studies, articles, and video tutorials for Kedroβ63Updated last month
- Basic and advanced MLflow examples for many ML flavorsβ215Updated 4 months ago
- Azure Databricks MLOps sample for Python based source code using MLflow without using MLflow Project.β79Updated last year
- This repository showcases how to implement trunk-based development workflow while working in a Machine Learning project.β37Updated 2 years ago
- Template repo for kickstarting recipes for regression use caseβ50Updated 6 months ago
- Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases witβ¦β45Updated 3 years ago
- β138Updated 3 months ago
- Turning AML compute into Ray clusterβ77Updated last year
- Kedro plugin to support running workflows on Microsoft Azure ML Pipelinesβ37Updated 3 months ago
- Example project for the course "Testing & Monitoring Machine Learning Model Deployments"β134Updated 9 months ago
- π Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projectsβ81Updated 2 years ago
- The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process β¦β489Updated 3 years ago