aws-samples / sagemaker-studio-apps-lifecycle-config-examplesLinks
☆31Updated 4 months ago
Alternatives and similar repositories for sagemaker-studio-apps-lifecycle-config-examples
Users that are interested in sagemaker-studio-apps-lifecycle-config-examples are comparing it to the libraries listed below
Sorting:
- ☆88Updated last year
- ☆144Updated 3 years ago
- Amazon SageMaker Local Mode Examples☆263Updated 9 months ago
- This repository contains guidance related to SageMaker AI Projects. SageMaker Projects help organizations set up and standardize develope…☆232Updated 2 months ago
- amazon-sagemaker-cdk-examples uses AWS CDK to simplify common architectures in machine leaning operations using Sagemaker and other AWS s…☆70Updated last year
- ☆88Updated 3 years ago
- ☆33Updated last year
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆58Updated 3 years ago
- ☆42Updated last week
- Foundation model benchmarking tool. Run any model on any AWS platform and benchmark for performance across instance type and serving stac…☆254Updated 9 months ago
- ☆14Updated last year
- Secure and scalable MLOps platform on AWS using Terraform.☆43Updated last week
- A curated list of references for Amazon SageMaker☆176Updated 2 years ago
- Secure data science with Amazon SageMaker Studio workshop. This workshop creates a reference architecture with security and controls to p…☆36Updated last year
- This repository provides AI/ML service(MachineLearning model serving) modernization solution using Amazon SageMaker, AWS CDK, and AWS Ser…☆47Updated last year
- ☆132Updated 2 weeks ago
- This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studio☆135Updated 2 years ago
- Unlocking Creativity: Generative AI with SageMaker Jumpstart☆34Updated 2 years ago
- A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)☆258Updated 7 months ago
- ☆138Updated last week
- A set of Docker images that include popular frameworks for machine learning, data science and visualization.☆144Updated this week
- ☆52Updated this week
- A collection of recommended practices to accelerate the building of secure data science environments in regulated environments.☆49Updated 2 years ago
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker☆327Updated 2 years ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆105Updated 3 years ago
- This solution helps you deploy Data Lake Infrastructure on AWS using CDK Pipelines.☆99Updated 3 years ago
- Mistral on AWS examples for Bedrock & SageMaker☆89Updated last week
- aws-solutions-library-samples / guidance-for-a-multi-tenant-generative-ai-gateway-with-cost-and-usage-tracking-on-awsThis Guidance demonstrates how to build an internal Software-as-a-Service (SaaS) platform that provides access to foundation models, like…☆90Updated last year
- Foundation Model Evaluations Library☆276Updated 6 months ago
- Some crazy experiments☆35Updated 5 months ago