aws-sagemaker-segmentation-example

★ 19 Open GitHub ↗

A tutorial on how to build, train, and deploy advanced CNN architectures U-Net and ENet for per-pixel binary segmentation on SageMaker.

Explore Similar Repositories

sagemaker-jumpstart-generative-ai-examples : Unlocking Creativity: Generative AI with SageMaker Jumpstart
lead-scoring-demo : Building a end-to-end lead scoring machine learning example with Jupyter, Sagemaker, MLflow, and Booklet.ai.
deepspeed-sagemaker-example : No description available.
sagemaker-rec-demo : Recommendation engine example notebook using Amazon SageMaker and Factorization Machines
tf-fraud-detection-using-machine-learning : Use Terraform to set up infrastructure described in AWS's example of fraud detection with SageMaker. https://docs.aws.amazon.com/solutions/latest/fraud-detection-using-machine-learning/architecture.html
// repository documentation