aws-samples / amazon-sagemaker-notebook-instance-lifecycle-config-samplesLinks
A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations
☆430Updated last year
Alternatives and similar repositories for amazon-sagemaker-notebook-instance-lifecycle-config-samples
Users that are interested in amazon-sagemaker-notebook-instance-lifecycle-config-samples 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 this week
- Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS☆292Updated 4 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
- ☆145Updated 2 years ago
- Amazon SageMaker Local Mode Examples☆259Updated 4 months ago
- Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events☆144Updated last year
- Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.☆407Updated last year
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.☆127Updated last year
- Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.☆517Updated last month
- This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studio☆133Updated 2 years ago
- Machine Learning Ops Workshop with SageMaker: lab guides and materials.☆330Updated 4 years ago
- ☆230Updated last year
- WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolk…☆186Updated 5 years ago
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker☆321Updated 2 years ago
- The open source version of the Amazon SageMaker docs☆251Updated 2 years ago
- ☆309Updated 2 months ago
- 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 this week
- Materials for a 2-day instructor led course on applying machine learning☆200Updated 4 years ago
- ☆87Updated last year
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model pro…☆155Updated 3 months ago
- Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https:…☆270Updated 3 months ago
- ☆136Updated last year
- amazon-sagemaker-cdk-examples uses AWS CDK to simplify common architectures in machine leaning operations using Sagemaker and other AWS s…☆68Updated last year
- A Spark library for Amazon SageMaker.☆300Updated 6 months 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
- MLOps workshop with Amazon SageMaker☆109Updated 5 months ago
- Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more☆388Updated 3 years ago
- A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.☆172Updated 2 years ago
- LLMs and Machine Learning done easily☆440Updated last month