1duo/awesome-ai-infrastructures

Infrastructures™ for Machine Learning Training/Inference in Production.

40
/ 100
Emerging

This is a curated collection of real-world AI infrastructures, also known as machine learning systems, pipelines, workflows, and platforms. It helps you understand the architecture and components needed to deploy and manage machine learning models in production environments reliably and at scale. The list is for professionals and teams tasked with building or maintaining large-scale AI solutions.

442 stars. No commits in the last 6 months.

Use this if you are an AI/ML engineer, MLOps professional, or architect looking to understand or design robust, scalable, and stable machine learning systems for production.

Not ideal if you are a data scientist primarily focused on developing individual machine learning algorithms or models, rather than their deployment and operational aspects.

MLOps AI Deployment Production AI Machine Learning Engineering System Architecture
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 22 / 25

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442

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Last pushed

May 24, 2019

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