awesome-ml-pipelines and awesome-ml-serving
These tools are complements, as one curates resources for managing machine learning pipelines, and the other curates resources for serving those models in production, representing sequential stages in an MLOps lifecycle.
Maintenance
0/25
Adoption
7/25
Maturity
16/25
Community
16/25
Maintenance
0/25
Adoption
8/25
Maturity
16/25
Community
10/25
Stars: 31
Forks: 6
Downloads: —
Commits (30d): 0
Language: —
License: Apache-2.0
Stars: 48
Forks: 5
Downloads: —
Commits (30d): 0
Language: —
License: Apache-2.0
Stale 6m
No Package
No Dependents
Stale 6m
No Package
No Dependents
About awesome-ml-pipelines
awesome-mlops/awesome-ml-pipelines
A curated list of awesome open source tools and commercial products that will help you manage machine learning and data-science workflows and pipelines 🚀
About awesome-ml-serving
awesome-mlops/awesome-ml-serving
A curated list of awesome open source and commercial platforms for serving models in production 🚀
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