flux-project/flux

Machine Learning Stack for Big Data, Big Cluster and Big Challenges

33
/ 100
Emerging

This project helps MLOps engineers and data scientists quickly set up and manage their machine learning infrastructure. It takes a running Kubernetes cluster and automatically deploys a complete, end-to-end machine learning pipeline, including tools like Spark and TensorFlow. The output is a fully operational environment ready for developing and deploying big data and deep learning models.

No commits in the last 6 months.

Use this if you need to rapidly deploy a full-featured machine learning stack on a Kubernetes cluster, especially for large-scale data and complex models.

Not ideal if you're a data scientist primarily working on a local machine or don't have access to a Kubernetes cluster.

MLOps Machine Learning Infrastructure Big Data ML Deep Learning Deployment Kubernetes Management
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 11 / 25

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Stars

22

Forks

3

Language

Python

License

Apache-2.0

Last pushed

Sep 06, 2018

Commits (30d)

0

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