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 4 years ago Related projects:
Repository | Description | Stars |
---|---|---|
visenger/handson-ml | Teaches Machine Learning fundamentals in Python using Scikit-Learn and TensorFlow | 6 |
visenger/mlspec | A framework to standardize intercomponent schemas for multi-stage machine learning pipelines | 7 |
visenger/ml-project-template | A template project facilitating structured machine learning development and deployment phases | 4 |
aronchick/mlops-pipeline | Automates the end-to-end machine learning workflow from code commit to model deployment | 18 |
polyaxon/polyaxon | A platform for managing and orchestrating the machine learning lifecycle | 3,571 |
oxid15/cascade | A lightweight MLOps library for small teams and individuals to manage machine learning model development lifecycle | 22 |
marvelousmlops/mlops_maturity_assessment | A tool to help teams assess and improve their machine learning project's maturity in MLOps practices | 57 |
omegaml/omegaml | An end-to-end MLOps platform that streamlines machine learning development, deployment, and collaboration. | 95 |
mlrun/mlrun | A platform for managing and deploying machine learning workflows across the application lifecycle | 1,446 |
tdcox/mlops-roadmap | Collaborative effort to define and document the key milestones and strategies for adopting and implementing Machine Learning Operations (MLOps) practices in software development | 16 |
ibm-cloud-architecture/refarch-ml-ops | A reference architecture and starter kit for operationalizing machine learning models in production environments. | 37 |
combust/mleap | Enables deployment of machine learning data pipelines and algorithms to production | 1,504 |
codingtrain/machine-learning | A collection of resources and examples around machine learning for education and development | 955 |
eugeneyan/applied-ml | Curated collection of papers and articles on data science and machine learning practices in production environments. | 27,322 |
marklogic/ml-gradle | Automates tasks involving MarkLogic using Gradle | 73 |