aws-samples / amazon-sagemaker-feature-store-streaming-aggregation
This repo provides an end-to-end example of using streaming feature aggregation with the Amazon SageMaker Feature Store.
☆45Updated 3 years ago
Alternatives and similar repositories for amazon-sagemaker-feature-store-streaming-aggregation:
Users that are interested in amazon-sagemaker-feature-store-streaming-aggregation are comparing it to the libraries listed below
- ☆131Updated 8 months ago
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆130Updated 3 weeks ago
- Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.☆42Updated 3 years 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 workshop with Amazon SageMaker☆95Updated 3 months ago
- This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studio☆128Updated last year
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆104Updated 2 years ago
- Amazon SageMaker Local Mode Examples☆251Updated 5 months ago
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http…☆174Updated 3 weeks ago
- Secure data science with Amazon SageMaker Studio workshop. This workshop creates a reference architecture with security and controls to p…☆33Updated 6 months ago
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.☆127Updated last year
- MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK☆133Updated last month
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆56Updated 2 years ago
- Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events☆142Updated last year
- ☆220Updated 5 months ago
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model pro…☆148Updated last month
- Example templates for the delivery of custom ML solutions to production so you can get started quickly without having to make too many de…☆68Updated 7 months ago
- Managing your machine learning lifecycle with MLflow and Amazon SageMaker☆149Updated last month
- This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection☆58Updated last year
- ☆87Updated 2 years ago
- ☆145Updated last year
- SageMaker Load Testing using Locust☆25Updated 3 years ago
- ☆32Updated 10 months ago
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)☆171Updated last year
- MLOps example using Amazon SageMaker Pipeline and GitHub Actions☆69Updated 8 months ago
- ☆26Updated last year
- A curated list of references for Amazon SageMaker☆161Updated last year
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker☆304Updated last year
- ☆83Updated 8 months ago
- Amazon SageMaker Solution for explaining credit decisions.☆96Updated last year