sagemaker-deployment topic
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sagemaker-deployment repositories
ML_SageMaker_Studies
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Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.
Machine-Learning
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The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.
amazon-sagemaker-endpoint-deployment-of-fastai-model-with-torchserve
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Deploy FastAI Trained PyTorch Model in TorchServe and Host in Amazon SageMaker Inference Endpoint
sagemaker-defect-detection
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Detect Defects in Products from their Images using Amazon SageMaker
end-to-end-ml-sm
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End to end Machine Learning with Amazon SageMaker
aws-mlops-pipelines-terraform
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MLOps on AWS using Amazon SageMaker Pipelines
deploy-stable-diffusion-model-on-amazon-sagemaker-endpoint
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Deploy Stable Diffusion Model on Amazon SageMaker Endpont
amazon-sagemaker-predictive-maintenance-deployed-at-edge
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This workshop will familiarize you with some of the key steps towards building an end-to-end predictive maintenance system leveraging Amazon SageMaker, Amazon Polly and the AWS IoT suite.
amazon-sagemaker-mlops-workshop
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MLOps workshop with Amazon SageMaker