aws-samples/machine-learning-using-k8s
Train and Deploy Machine Learning Models on Kubernetes using Amazon EKS
This helps machine learning engineers and data scientists deploy and manage their machine learning models on a scalable infrastructure. It provides guidance and examples for setting up a Kubernetes cluster on Amazon EKS, then using it to train models with frameworks like TensorFlow and MXNet, and finally serving those models for predictions. You can input your machine learning code and data, and get trained models ready for deployment.
169 stars. No commits in the last 6 months.
Use this if you are a machine learning engineer looking to build, train, and deploy machine learning models using popular frameworks like TensorFlow and PyTorch on a scalable and robust Kubernetes platform.
Not ideal if you prefer a fully managed, hands-off machine learning service that doesn't require direct interaction with Kubernetes or infrastructure setup.
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Last pushed
Jul 20, 2019
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