MLOps
ML workflow automation
Provides end-to-end examples and solutions for operationalizing ML workflows with Azure Machine Learning
MLOps examples
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last commit: over 6 years agoRelated projects:
| Repository | Description | Stars |
|---|---|---|
| Teaches Machine Learning fundamentals in Python using Scikit-Learn and TensorFlow | 5 | |
| A framework to standardize intercomponent schemas for multi-stage machine learning pipelines | 7 | |
| A template project facilitating structured machine learning development and deployment phases | 4 | |
| Automates the end-to-end machine learning workflow from code commit to model deployment | 18 | |
| A platform for managing and orchestrating the machine learning lifecycle | 3,581 | |
| A lightweight MLOps library for small teams and individuals to manage machine learning model development lifecycle | 22 | |
| A tool to help teams assess and improve their machine learning project's maturity in MLOps practices | 59 | |
| An MLOps platform providing tools and services to deploy, collaborate and manage machine learning models and data pipelines in a simplified way | 96 | |
| A platform for managing and deploying machine learning workflows across the application lifecycle | 1,458 | |
| Collaborative effort to define and document the key milestones and strategies for adopting and implementing Machine Learning Operations (MLOps) practices in software development | 16 | |
| A reference architecture and starter kit for operationalizing machine learning models in production environments. | 37 | |
| Enables deployment of machine learning pipelines from Spark and Scikit-Learn to production | 1,506 | |
| A collection of resources and examples around machine learning for education and development | 954 | |
| Curated collection of papers and articles on data science and machine learning practices in production environments. | 27,407 | |
| Automates tasks involving MarkLogic using Gradle | 72 |