#Sagemaker-studio

aws-samples

sagemaker-ssh-helper

A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)

aws-samples

amazon-sagemaker-codeserver

Hosting code-server on Amazon SageMaker

aws-solutions-library-samples

guidance-for-developing-data-and-ai-foundation-with-amazon-sagemaker

DAIVI is a reference solution with IAC modules to accelerate development of Data, Analytics, AI and Visualization applications on AWS using the next generation Amazon SageMaker Unified Studio. The goal of the DAIVI solution is to provide engineers with sample infrastructure-as-code modules and application modules to build their data platforms.

aws-samples

fine-tune-embedding-models-on-sagemaker

This repository contains samples for fine-tuning embedding models using Amazon SageMaker. Embedding models are useful for tasks such as semantic similarity, text clustering, and information retrieval. Fine-tuning these models on your specific domain data can greatly improve their performance.