dylan-tong-aws / aws-serverless-ml-pipelineLinks
A serverless framework for continuous machine learning pipeline automation
☆14Updated 5 years ago
Alternatives and similar repositories for aws-serverless-ml-pipeline
Users that are interested in aws-serverless-ml-pipeline are comparing it to the libraries listed below
Sorting:
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆105Updated 3 years ago
- Sample Jupyter Notebooks for Amazon Augmented AI (A2I)☆74Updated 2 years ago
- Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.☆45Updated 4 years ago
- Materials for a 2-day instructor led course on applying machine learning☆200Updated 4 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
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model pro…☆155Updated 7 months ago
- A collection of recommended practices to accelerate the building of secure data science environments in regulated environments.☆49Updated 2 years ago
- Build Train and Deploy your own custom container using AWS StepFunctions Data Science SDK☆23Updated 5 years 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
- This repository shows a sample example to build, manage and orchestrate Machine Learning workflows using Amazon Sagemaker and Apache Airf…☆138Updated 4 years ago
- Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.☆100Updated last year
- AI_ML_Workshops☆52Updated 5 years ago
- Open innovation with 60 minute cloud experiments on AWS☆87Updated last year
- Amazon SageMaker Solution for explaining credit decisions.☆98Updated 2 years ago
- Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS☆293Updated 8 months ago
- Sample code and datasets for Amazon Fraud Detector☆82Updated 2 years ago
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)☆170Updated 2 years ago
- ☆89Updated 3 years ago
- ☆144Updated 2 years ago
- This solution helps you deploy Data Lake Infrastructure on AWS using CDK Pipelines.☆99Updated 3 years ago
- Creates a CloudFormation template that uses AWS StepFunctions to automate the building and training of Sagemaker custom models based on S…☆165Updated 5 years ago
- Learn Amazon SageMaker☆105Updated 3 weeks ago
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker☆327Updated 2 years ago
- Example templates for the delivery of custom ML solutions to production so you can get started quickly without having to make too many de…☆74Updated last year
- Kubeflow workshop on EKS. Mainly focus on AWS integration examples. Please go check kubeflow website http://kubeflow.org for other exampl…☆99Updated 5 years ago
- AWS Workshop tutorial for building applications with Amazon AI Services☆31Updated 3 years ago
- This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection☆64Updated 2 years ago
- ☆138Updated last year
- A workshop demonstrating the capabilities of S3, Athena, Glue, Kinesis, and Quicksight.☆158Updated 5 years ago
- Docker images that replicate the Amazon SageMaker Notebook instance.☆57Updated 4 years ago