Angel-ML/angel

A Flexible and Powerful Parameter Server for large-scale machine learning

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Established

Angel helps machine learning engineers and data scientists build and train large-scale machine learning models and graph algorithms more efficiently. It takes vast datasets and model parameters, distributing them across many servers, to produce trained models that can handle very high-dimensional data. This is ideal for those working with massive datasets in areas like recommendation systems or social network analysis.

6,785 stars. No commits in the last 6 months.

Use this if you are developing and deploying machine learning models or graph algorithms that require processing extremely large datasets and complex, high-dimensional models in a distributed environment.

Not ideal if your datasets are small to medium-sized or if you are looking for a simple, single-machine machine learning solution.

large-scale-machine-learning distributed-computing graph-analytics recommendation-systems big-data-modeling

Stale 6m No Package No Dependents

Maintenance 2 / 25

Adoption 10 / 25

Maturity 16 / 25

Community 25 / 25

How are scores calculated?

Stars

6,785

Forks

1,592

Language

Java

License

—

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