aws / sagemaker-containers
WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolkit for model serving.
☆185Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for sagemaker-containers
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://gith…☆199Updated last year
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http…☆171Updated 2 weeks ago
- Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https:…☆270Updated last year
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.☆127Updated last year
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆125Updated last month
- SageMaker specific extensions to TensorFlow.☆54Updated 3 months ago
- A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.☆172Updated last year
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)☆171Updated 11 months ago
- Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS☆289Updated last year
- The open source version of the Amazon SageMaker docs☆250Updated last year
- Creates a CloudFormation template that uses AWS StepFunctions to automate the building and training of Sagemaker custom models based on S…☆165Updated 4 years ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆104Updated 2 years ago
- A Spark library for Amazon SageMaker.☆300Updated 2 weeks ago
- Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.☆391Updated last year
- Toolkit for running MXNet training scripts on SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https://github.c…☆60Updated last year
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆56Updated 2 years ago
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model pro…☆147Updated 2 months ago
- Machine Learning Ops Workshop with SageMaker: lab guides and materials.☆325Updated 3 years ago
- ☆143Updated last year
- A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations☆422Updated 7 months ago
- Toolkit for allowing inference and serving with MXNet in SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https…☆28Updated last year
- This repository shows a sample example to build, manage and orchestrate Machine Learning workflows using Amazon Sagemaker and Apache Airf…☆137Updated 3 years ago
- Amazon SageMaker Local Mode Examples☆248Updated 3 months ago
- Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors☆161Updated 6 months ago
- amazon-sagemaker-cdk-examples uses AWS CDK to simplify common architectures in machine leaning operations using Sagemaker and other AWS s…☆68Updated 7 months ago
- Materials for a 2-day instructor led course on applying machine learning☆200Updated 3 years ago
- Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.☆497Updated 2 months ago
- Distributed training with SageMaker's script mode using Horovod distributed deep learning framework☆32Updated 5 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