awesome-ml-pipelines and awesome-ml-experiment-management
These are complements: ML pipelines orchestrate the execution of workflows, while experiment management tracks and compares the results and metrics produced by those pipeline runs.
Maintenance
0/25
Adoption
7/25
Maturity
16/25
Community
16/25
Maintenance
0/25
Adoption
10/25
Maturity
16/25
Community
10/25
Stars: 31
Forks: 6
Downloads: —
Commits (30d): 0
Language: —
License: Apache-2.0
Stars: 157
Forks: 9
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-experiment-management
awesome-mlops/awesome-ml-experiment-management
A curated list of awesome open source tools and commercial products for ML Experiment Tracking and Management 🚀
Related comparisons
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