This repository shows a sample example to build, manage and orchestrate Machine Learning workflows using Amazon Sagemaker and Apache Airflow.
☆137Sep 8, 2021Updated 5 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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Generalized project for running Airflow DAGs, with possibility of skipping tasks already done for some set of input parameters.☆16Nov 16, 2022Updated 3 years ago
- Machine Learning Ops Workshop with SageMaker: lab guides and materials.☆334Apr 15, 2021Updated 5 years ago
- Optimizing downstream data processing with Amazon Kinesis Data Firehose and Amazon EMR running Apache Spark☆14Apr 14, 2023Updated 3 years ago
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker☆335Jul 20, 2023Updated 3 years ago
- ☆10Sep 9, 2020Updated 6 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- This workshop demonstrates two methods of machine learning inference for global production using AWS Lambda and Amazon SageMaker☆58Aug 14, 2020Updated 6 years ago
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)☆169Dec 20, 2023Updated 2 years ago
- Kubeflow workshop on EKS. Mainly focus on AWS integration examples. Please go check kubeflow website http://kubeflow.org for other exampl…☆100Dec 30, 2020Updated 5 years ago
- Build end-to-end Machine Learning pipeline to predict accessibility of playgrounds in NYC☆15Jul 9, 2020Updated 6 years ago
- A project template for developing BYOD docker images for use in Amazon SageMaker.☆19Jan 15, 2020Updated 6 years ago
- Learn how to build an end-to-end streaming architecture to ingest, analyze, and visualize streaming data in near real-time☆34Jul 12, 2022Updated 4 years ago
- Deploy Machine Learning Models as Serverless APIs☆17Oct 25, 2023Updated 2 years ago
- Automate Redshift cluster creation with best practices using AWS CloudFormation☆12Mar 3, 2022Updated 4 years ago
- SageMaker specific extensions to TensorFlow.☆54Jul 23, 2024Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Amazon SageMaker Solution for explaining credit decisions.☆99May 11, 2023Updated 3 years ago
- Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.☆10,991Sep 9, 2026Updated last month
- A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.☆172Sep 13, 2023Updated 3 years ago
- a sample repository for terraform to run Amazon SageMaker notebook part 1☆12Jan 16, 2020Updated 6 years ago
- Turbine: the bare metals that gets you Airflow☆378Oct 10, 2021Updated 5 years ago
- The sample code provides a deploy function and an executable to easily deploy an Amazon Lex bot based on a Lex Schema file.☆23Nov 2, 2023Updated 2 years ago
- A repo to track data engineering projects☆14Nov 11, 2022Updated 3 years ago
- Natural Language Processing on AWS Workshop☆53Jan 28, 2019Updated 7 years ago
- The practical use-cases of how to make your Machine Learning Pipelines robust and reliable using Apache Airflow.☆51Dec 8, 2022Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http…☆188Aug 11, 2026Updated 2 months ago
- Materials for a 2-day instructor led course on applying machine learning☆199Apr 21, 2021Updated 5 years ago
- This GitHub project provides a series of lab exercises which help users get started using the Redshift platform.☆53Mar 31, 2021Updated 5 years ago
- Amazon Elasticsearch Service workshop for beginners.☆58Oct 5, 2021Updated 5 years ago
- Custom docker container for Catboost on Amazon SageMaker☆13Sep 22, 2022Updated 4 years ago
- Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS☆300Apr 15, 2025Updated last year
- Example DAGs using hooks and operators from Airflow Plugins☆350Jul 24, 2018Updated 8 years ago
- Docker images that replicate the Amazon SageMaker Notebook instance.☆57Nov 14, 2021Updated 4 years ago
- A serverless framework for continuous machine learning pipeline automation☆14Aug 18, 2020Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- This repository contains exercises that show how to use AWS Secrets Manager in different scenarios.☆40Oct 4, 2021Updated 5 years ago
- Amazon ECS Fargate workshop for developers, operators, and data engineers☆21Jun 6, 2020Updated 6 years ago
- AWS Amplify, Material UI☆16Jul 29, 2020Updated 6 years ago
- Dog no Dog is a sample application to showcase how to build a serverless MVP with serverless technologies on AWS.☆18Feb 19, 2022Updated 4 years ago
- Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.☆413Nov 20, 2023Updated 2 years ago
- A Personalized 'Shop-by-Style' Experience via PyTorch on Amazon SageMaker and Amazon Neptune☆22May 7, 2021Updated 5 years ago
- Distributed training with SageMaker's script mode using Horovod distributed deep learning framework☆32Nov 18, 2019Updated 6 years ago