aws-samples / sagemaker-studio-custom-image-samplesLinks
This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studio
☆132Updated 2 years ago
Alternatives and similar repositories for sagemaker-studio-custom-image-samples
Users that are interested in sagemaker-studio-custom-image-samples are comparing it to the libraries listed below
Sorting:
- ☆145Updated 2 years ago
- ☆84Updated last year
- Amazon SageMaker Local Mode Examples☆257Updated last month
- Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events☆143Updated last year
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆137Updated 2 months ago
- ☆224Updated 9 months ago
- ☆134Updated last year
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆56Updated 3 years ago
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.☆127Updated last year
- Managing your machine learning lifecycle with MLflow and Amazon SageMaker☆150Updated 2 months ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆106Updated 2 years ago
- ☆96Updated 3 years ago
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http…☆180Updated last month
- MLOps workshop with Amazon SageMaker☆100Updated 2 months ago
- ☆88Updated 2 years ago
- A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)☆245Updated 3 months ago
- Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.☆406Updated last year
- Hosting code-server on Amazon SageMaker☆54Updated last year
- Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.☆514Updated 3 months ago
- Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.☆44Updated 3 years ago
- A curated list of references for Amazon SageMaker☆169Updated last year
- Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at h…☆141Updated 7 months ago
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model pro…☆154Updated 5 months ago
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)☆172Updated last year
- amazon-sagemaker-cdk-examples uses AWS CDK to simplify common architectures in machine leaning operations using Sagemaker and other AWS s…☆68Updated last year
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker☆316Updated last year
- A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations☆430Updated last year
- WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolk…☆186Updated 4 years ago
- MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK☆143Updated last month
- Kubeflow workshop on EKS. Mainly focus on AWS integration examples. Please go check kubeflow website http://kubeflow.org for other exampl…☆98Updated 4 years ago