MLOps and mlop
Given that tool A is a comprehensive repository on MLOps concepts and tool B is an experimental tracking platform, they are **complements** where tool A provides the foundational knowledge and best practices for MLOps, which can then be practically implemented and managed using tool B for experiment tracking and operations.
Maintenance
10/25
Adoption
10/25
Maturity
16/25
Community
25/25
Maintenance
10/25
Adoption
17/25
Maturity
25/25
Community
8/25
Stars: 278
Forks: 394
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: CC0-1.0
Stars: 370
Forks: 9
Downloads: 305
Commits (30d): 0
Language: Python
License: Apache-2.0
No Package
No Dependents
No risk flags
About MLOps
raminmohammadi/MLOps
Machine Learning In Production (MLOps)
About mlop
mlop-ai/mlop
Next Generation Experimental Tracking for Machine Learning Operations
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