terrytangyuan/distributed-ml-patterns

Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo

49
/ 100
Emerging

This project provides references and code for building robust and scalable machine learning systems on distributed clusters. It takes your machine learning models from a single laptop to large-scale deployments, managing everything from data ingestion and distributed training to model serving. Data scientists, data analysts, and software engineers who want to operationalize and scale their machine learning workflows will find this useful.

493 stars.

Use this if you are a data professional or engineer who needs to move machine learning models from development to production on a large, distributed scale.

Not ideal if you are solely focused on developing machine learning algorithms on a local machine and do not anticipate needing to scale them for enterprise-level operations.

MLOps scalable-AI distributed-computing machine-learning-engineering cloud-AI-infrastructure
No Package No Dependents
Maintenance 6 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 17 / 25

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Stars

493

Forks

47

Language

Python

License

Apache-2.0

Last pushed

Jan 06, 2026

Commits (30d)

0

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