This repository serves as the core infrastructure for deploying, managing, and scaling different predictive models across a range of applications. Designed with flexibility and modularity in mind, provides essential services that support the full lifecycle of machine learning models, from training and evaluation to deployment and inference.
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A versatile repository for diverse machine learning workflows, including batch processing and real-time inference, designed to reduce reliance on costly ML services. Built with Docker and AWS integration for scalable, cost-effective solutions.
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brunosantoslab/ml-core
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A versatile repository for diverse machine learning workflows, including batch processing and real-time inference, designed to reduce reliance on costly ML services. Built with Docker and AWS integration for scalable, cost-effective solutions.
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