caraml-dev/merlin
Kubernetes-friendly ML model management, deployment, and serving.
Merlin helps machine learning engineers deploy and manage their trained models quickly and efficiently in production. It takes a machine learning model artifact (e.g., a saved scikit-learn model, a TensorFlow model) and makes it available as a scalable, high-performance web service. This allows practitioners to easily move models from development to live use without extensive infrastructure knowledge.
183 stars.
Use this if you are an ML engineer struggling with the complexity and time involved in getting your machine learning models from a trained state into a live, scalable web service for inference.
Not ideal if you are a data scientist primarily focused on model training and experimentation rather than deployment and serving infrastructure.
Stars
183
Forks
49
Language
Go
License
Apache-2.0
Category
Last pushed
Mar 05, 2026
Commits (30d)
0
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