aws / sagemaker-training-toolkit
Train machine learning models within a π³ Docker container using π§ Amazon SageMaker.
β502Updated last week
Alternatives and similar repositories for sagemaker-training-toolkit:
Users that are interested in sagemaker-training-toolkit are comparing it to the libraries listed below
- Serve machine learning models within a π³ Docker container using π§ Amazon SageMaker.β397Updated last year
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (httpβ¦β175Updated last month
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.β127Updated last year
- A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurationsβ424Updated 10 months ago
- AWS Deep Learning Containers are pre-built Docker images that make it easier to run popular deep learning frameworks and tools on AWS.β1,040Updated this week
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMakerβ307Updated last year
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use thβ¦β132Updated last month
- WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolkβ¦β186Updated 4 years ago
- Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https:β¦β270Updated last week
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://githβ¦β201Updated last week
- Amazon SageMaker Local Mode Examplesβ252Updated last week
- Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at hβ¦β136Updated 4 months ago
- Managing your machine learning lifecycle with MLflow and Amazon SageMakerβ149Updated 2 months ago
- The open source version of the Amazon SageMaker docsβ250Updated last year
- β221Updated 6 months ago
- β286Updated 3 months ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.β104Updated 2 years ago
- A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.β172Updated last year
- A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)β231Updated 2 months ago
- This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studioβ128Updated last year
- Machine Learning Ops Workshop with SageMaker: lab guides and materials.β327Updated 3 years ago
- A library for training and deploying machine learning models on Amazon SageMakerβ2,130Updated this week
- β131Updated 9 months ago
- Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to eventsβ142Updated last year
- Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensorsβ161Updated 9 months ago
- β145Updated 2 years ago
- A Spark library for Amazon SageMaker.β299Updated last week
- Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWSβ290Updated last year
- Scale complete ML development with Amazon SageMaker Studioβ151Updated 3 months ago
- MLOps workshop with Amazon SageMakerβ97Updated 4 months ago