aws / sagemaker-spark-container
The SageMaker Spark Container is a Docker image used to run data processing workloads with the Spark framework on Amazon SageMaker.
☆37Updated 2 months ago
Alternatives and similar repositories for sagemaker-spark-container:
Users that are interested in sagemaker-spark-container are comparing it to the libraries listed below
- ☆84Updated last year
- This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studio☆132Updated 2 years ago
- ☆133Updated last year
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆55Updated 3 years ago
- 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
- ☆145Updated 2 years ago
- A library of additional estimators and SageMaker tools based on scikit-learn☆39Updated 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
- MLOps workshop with Amazon SageMaker☆98Updated 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
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.☆127Updated last year
- SageMaker specific extensions to TensorFlow.☆54Updated 9 months ago
- ☆70Updated 10 months ago
- This repository shows a sample example to build, manage and orchestrate Machine Learning workflows using Amazon Sagemaker and Apache Airf…☆136Updated 3 years ago
- MLOps example using Amazon SageMaker Pipeline and GitHub Actions☆77Updated last year
- Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.☆44Updated 3 years ago
- ☆31Updated 4 months ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆106Updated 2 years ago
- Hosting code-server on Amazon SageMaker☆54Updated last year
- MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK☆141Updated last week
- A set of Docker images that include popular frameworks for machine learning, data science and visualization.☆114Updated this week
- ☆33Updated last year
- ☆14Updated 9 months ago
- Secure data science with Amazon SageMaker Studio workshop. This workshop creates a reference architecture with security and controls to p…☆35Updated 10 months ago
- ☆28Updated last year
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http…☆179Updated last week
- Example templates for the delivery of custom ML solutions to production so you can get started quickly without having to make too many de…☆71Updated 10 months ago
- Terraform code to deploy a SageMaker domain in VPC-only mode that supports multiple Studio and Canvas features☆19Updated last year
- This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection☆60Updated last year
- Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS☆290Updated 3 weeks ago