awesome-ml-monitoring and awesome-ml-experiment-management
These tools are complements because experiment management tracks and organizes the various iterations of ML models, while ML monitoring ensures the quality and performance of those models once they are deployed.
Maintenance
0/25
Adoption
9/25
Maturity
16/25
Community
13/25
Maintenance
0/25
Adoption
10/25
Maturity
16/25
Community
10/25
Stars: 93
Forks: 11
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-monitoring
awesome-mlops/awesome-ml-monitoring
A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profiling data 🚀
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 🚀
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