awesome-ml-serving and awesome-mlops-platforms

Maintenance 0/25
Adoption 8/25
Maturity 16/25
Community 10/25
Maintenance 0/25
Adoption 7/25
Maturity 16/25
Community 9/25
Stars: 48
Forks: 5
Downloads:
Commits (30d): 0
Language:
License: Apache-2.0
Stars: 33
Forks: 3
Downloads:
Commits (30d): 0
Language:
License: Apache-2.0
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About awesome-ml-serving

awesome-mlops/awesome-ml-serving

A curated list of awesome open source and commercial platforms for serving models in production 🚀

This list compiles tools and platforms designed to help machine learning engineers deploy their trained models so they can be used by other applications or end-users. It covers solutions for taking a developed ML model (like a recommendation engine or an image classifier) and making it accessible through an API or a user interface. This is for machine learning engineers, MLOps specialists, or data scientists responsible for moving models from development to production.

MLOps Model Deployment Machine Learning Engineering Production AI API Development

About awesome-mlops-platforms

awesome-mlops/awesome-mlops-platforms

A curated list of awesome open source and commercial MLOps platforms 🚀

This is a curated list of tools and platforms designed to help machine learning engineers, data scientists, and MLOps practitioners manage the entire lifecycle of their machine learning projects. It takes a high-level need to deploy and manage AI models and provides options for platforms that streamline development, training, and deployment. The primary users are individuals responsible for bringing machine learning models from experimentation to production.

MLOps Machine Learning Engineering AI Project Management Model Deployment Data Science Workflow

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