aws-samples / eks-kubeflow-workshopLinks
Kubeflow workshop on EKS. Mainly focus on AWS integration examples. Please go check kubeflow website http://kubeflow.org for other examples
☆99Updated 5 years ago
Alternatives and similar repositories for eks-kubeflow-workshop
Users that are interested in eks-kubeflow-workshop are comparing it to the libraries listed below
Sorting:
- MLOps on Amazon EKS☆117Updated this week
- A Data Platform built for AWS, powered by Kubernetes.☆147Updated 2 years ago
- Amazon SageMaker operator for Kubernetes☆149Updated 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
- Create, List, Update, Delete Amazon EKS clusters. Deploy and manage software on EKS. Run distributed model training and inference example…☆64Updated last month
- This repository aims to showcase how to finetune a FM model in Amazon EKS cluster using, JupyterHub to provision notebooks and craft both…☆51Updated 6 months ago
- A collection of recommended practices to accelerate the building of secure data science environments in regulated environments.☆49Updated 2 years ago
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model pro…☆155Updated 7 months ago
- amazon-sagemaker-cdk-examples uses AWS CDK to simplify common architectures in machine leaning operations using Sagemaker and other AWS s…☆69Updated last year
- 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
- Learn how to build an end-to-end streaming architecture to ingest, analyze, and visualize streaming data in near real-time☆34Updated 3 years ago
- This Guidance demonstrates how to deploy a machine learning inference architecture on Amazon Elastic Kubernetes Service (Amazon EKS). It …☆47Updated 7 months ago
- ☆89Updated 3 years ago
- As customers move from building data lakes and analytics on AWS to building machine learning solutions, one of their biggest challenges i…☆63Updated 7 years ago
- Build Train and Deploy your own custom container using AWS StepFunctions Data Science SDK☆23Updated 5 years ago
- Material for re:Invent 2017 - CMP316 - Workshop: Hedge Your Own Funds: Run Monte Carlo Simulations on Amazon EC2 Spot Fleets☆43Updated 5 years ago
- ☆144Updated 2 years ago
- AWS Quick Start Team☆19Updated last year
- Collection of workshops to demonstrate best practices in using Amazon EC2 Spot Instances. https://aws.amazon.com/ec2/spot/☆187Updated last year
- A solutions that automatically configures the AWS services necessary to easily capture, store, process, and deliver streaming data. This …☆94Updated 11 months ago
- Train and Deploy Machine Learning Models on Kubernetes using Amazon EKS☆169Updated 6 years ago
- Terraform module to support Sagemaker for AWS provider☆31Updated 2 years ago
- AWS Workshop tutorial for building applications with Amazon AI Services☆31Updated 3 years ago
- Bring your own data Labs: Build a serverless data pipeline based on your own data☆44Updated 2 years ago
- Workshop and lab content for Amazon Aurora MySQL compatible databases. This code will contain a series of templates, instructional guides…☆77Updated last year
- A project template for developing BYOD docker images for use in Amazon SageMaker.☆19Updated 5 years ago
- ☆19Updated last year
- The Automated Data Analytics on AWS solution provides an end-to-end data platform for ingesting, transforming, managing and querying data…☆91Updated last year
- Collection of Cloud Formation Templates, Lambda Scripts and sample code required to provision an AWS Data Lake for a ReInvent Lab Exercis…☆26Updated 6 years ago