aws-samples / sagemaker-ml-workflow-with-apache-airflowLinks
This repository shows a sample example to build, manage and orchestrate Machine Learning workflows using Amazon Sagemaker and Apache Airflow.
☆138Updated 3 years ago
Alternatives and similar repositories for sagemaker-ml-workflow-with-apache-airflow
Users that are interested in sagemaker-ml-workflow-with-apache-airflow are comparing it to the libraries listed below
Sorting:
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http…☆181Updated last week
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model pro…☆154Updated 2 months ago
- Machine Learning Ops Workshop with SageMaker: lab guides and materials.☆330Updated 4 years ago
- A Spark library for Amazon SageMaker.☆300Updated 5 months ago
- This repo provides an end-to-end example of using streaming feature aggregation with the Amazon SageMaker Feature Store.☆46Updated 4 years ago
- Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events☆143Updated last year
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆106Updated 2 years ago
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆139Updated last week
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)☆171Updated last year
- Materials for a 2-day instructor led course on applying machine learning☆200Updated 4 years ago
- Open innovation with 60 minute cloud experiments on AWS☆88Updated last year
- Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.☆44Updated 4 years ago
- Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS☆292Updated 4 months ago
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker☆320Updated 2 years ago
- WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolk…☆186Updated 5 years ago
- Docker images that replicate the Amazon SageMaker Notebook instance.☆58Updated 3 years ago
- ☆135Updated last year
- Learn Amazon SageMaker☆106Updated 2 years ago
- A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations☆430Updated last year
- A serverless framework for continuous machine learning pipeline automation☆14Updated 5 years ago
- Amazon SageMaker Solution for explaining credit decisions.☆96Updated 2 years ago
- Managing your machine learning lifecycle with MLflow and Amazon SageMaker☆153Updated 2 months ago
- The open source version of the Amazon SageMaker docs☆251Updated 2 years ago
- Amazon SageMaker Local Mode Examples☆259Updated 3 months 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
- Build Train and Deploy your own custom container using AWS StepFunctions Data Science SDK☆23Updated 5 years ago
- ☆96Updated 4 years ago
- This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studio☆133Updated 2 years ago
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.☆127Updated last year
- Sample code and datasets for Amazon Fraud Detector☆80Updated 2 years ago