sagemaker-studio 开源项目推荐（49 个）

aws-samples /sagemaker-ssh-helper

一个帮助库，用于连接带有AWS Systems Manager和SSH（安全壳层）的Amazon SageMaker。

aws-samples /sagemaker-studio-custom-image-samples

This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studio

aws-samples /amazon-sagemaker-mlops-workshop

MLOps workshop with Amazon SageMaker

liangyimingcom /Use-SageMaker_XGBoost-convert-Time-Series-into-Supervised-Learning-for-predictive-maintenance

使用SageMaker+XGBoost，将时间序列转换为监督学习，完成预测性维护的实践

aws-samples /sagemaker-studio-image-build-cli

CLI for building Docker images in SageMaker Studio using AWS CodeBuild.

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 /sagemaker-studio-mlflow-integration

该项目在 GitHub 上没有填写描述

clarityai-eng /sagemaker-studio-for-teams

Tools and IAC to setup SageMaker Studio for team collaboration.

synabreu /awskrusergroup

AWS SageMaker를 이용한 MLOps와 LLMOps

aws-samples /amazon-sagemaker-experiments-dvc-demo

SageMaker Experiments and DVC

aws-samples /amazon-fraud-detector-end-to-end

Sample datasets and code for operationalizing Amazon Fraud Detector using SageMaker DataWrangler, Feature Store, and Pipelines.

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.

aws-samples /sagemaker-studio-docker-cli-extension

SageMaker Studio Docker CLI Extension

aws-samples /amazon-sagemaker-studio-secure-sso

This solution provides a way to deploy SageMaker Studio in a private and secure environment. The solution integrates with a Custom SAML 2.0 Application as the mechanism to trigger the authentication to Amazon SageMaker Studio with the ability to limit the authorization to specific network environments.

aws-samples /aws-smsl-predict-airquality-via-weather

该项目在 GitHub 上没有填写描述

aws-samples /sagemaker-studio-docker-ui-extension

Sagemaker Studio Docker UI Extension

aws-samples /amazon-sagemaker-reusable-components

This solution shows how to deliver reusable and self-contained custom components to Amazon SageMaker environment using AWS Service Catalog, AWS CloudFormation, SageMaker Projects and SageMaker Pipelines.

aws-samples /amazon-sagemaker-data-wrangler-hospital-readmission-prediction

This is an example to demonstrate Amazon SageMaker Data Wrangler capabilities. The workshop showcases entire ML workflow steps for Diabetic Patient Readmission Dataset from UCI.

aws-samples /data-governance-w-temp-credentials-vending

Data governance through AWS LakeFormation credentials vending API