aws-samples / sagemaker-run-notebookLinks
Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events
☆143Updated last year
Alternatives and similar repositories for sagemaker-run-notebook
Users that are interested in sagemaker-run-notebook are comparing it to the libraries listed below
Sorting:
- 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
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http…☆180Updated last month
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.☆127Updated last year
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆106Updated 2 years ago
- ☆85Updated last year
- Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS☆291Updated 2 months ago
- ☆134Updated last year
- This repo provides an end-to-end example of using streaming feature aggregation with the Amazon SageMaker Feature Store.☆46Updated 3 years ago
- This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studio☆132Updated 2 years ago
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)☆172Updated last year
- ☆145Updated 2 years ago
- Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.☆406Updated last year
- ☆96Updated 4 years ago
- A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations☆429Updated last year
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆56Updated 3 years ago
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model pro…☆154Updated last week
- Amazon SageMaker Local Mode Examples☆257Updated 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…☆73Updated last year
- A library of additional estimators and SageMaker tools based on scikit-learn☆40Updated last year
- MLOps workshop with Amazon SageMaker☆104Updated 2 months ago
- Build Train and Deploy your own custom container using AWS StepFunctions Data Science SDK☆23Updated 4 years ago
- Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.☆44Updated 4 years ago
- Managing your machine learning lifecycle with MLflow and Amazon SageMaker☆150Updated 3 months 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
- This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection☆62Updated last year
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker☆318Updated last year
- This repository shows a sample example to build, manage and orchestrate Machine Learning workflows using Amazon Sagemaker and Apache Airf…☆136Updated 3 years ago
- ☆227Updated 10 months ago
- Hosting code-server on Amazon SageMaker☆54Updated last year
- A Spark library for Amazon SageMaker.☆299Updated 3 months ago