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…☆180Updated last month
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.☆127Updated last year
- Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS☆290Updated last month
- ☆145Updated 2 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
- WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolk…☆186Updated 4 years ago
- Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.☆406Updated last year
- ☆224Updated 9 months ago
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)☆172Updated last year
- Amazon SageMaker Local Mode Examples☆257Updated last month
- Machine Learning Ops Workshop with SageMaker: lab guides and materials.☆329Updated 4 years ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆106Updated 2 years ago
- ☆84Updated last year
- This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studio☆132Updated 2 years ago
- A Spark library for Amazon SageMaker.☆301Updated 2 months ago
- Materials for a 2-day instructor led course on applying machine learning☆201Updated 4 years ago
- Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more☆390Updated 3 years ago
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker☆315Updated last year
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆137Updated 2 months ago
- The open source version of the Amazon SageMaker docs☆252Updated last year
- 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
- Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.☆514Updated 3 months ago
- Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https:…☆271Updated 3 months ago
- A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)☆245Updated 3 months ago
- ☆295Updated 6 months ago
- A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.☆173Updated last year
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model pro…☆154Updated 5 months ago
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://gith…☆203Updated 3 months ago
- MLOps workshop with Amazon SageMaker☆100Updated 2 months ago
- ☆134Updated last year