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