Train machine learning models within a π³ Docker container using π§ Amazon SageMaker.
β530Jan 16, 2026Updated 6 months ago
Alternatives and similar repositories for sagemaker-training-toolkit
Users that are interested in sagemaker-training-toolkit are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Serve machine learning models within a π³ Docker container using π§ Amazon SageMaker.β413Nov 20, 2023Updated 2 years ago
- WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolkβ¦β188Jun 22, 2020Updated 6 years ago
- One stop shop for running AI/ML on AWS.β1,184Updated this week
- A library for training and deploying machine learning models on Amazon SageMakerβ2,257Updated this week
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://githβ¦β202Aug 25, 2025Updated 11 months ago
- Simple, predictable pricing with DigitalOcean hosting β’ AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use thβ¦β144Jul 1, 2026Updated last month
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (httpβ¦β188Jul 14, 2026Updated 3 weeks ago
- Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at hβ¦β143Oct 7, 2024Updated last year
- Example π Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using π§ Amazon SageMaker.β10,980Jul 30, 2026Updated last week
- Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https:β¦β270Jun 4, 2025Updated last year
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.β129Nov 14, 2023Updated 2 years ago
- β145Jan 23, 2023Updated 3 years ago
- SageMaker specific extensions to TensorFlow.β54Jul 23, 2024Updated 2 years ago
- Amazon SageMaker Local Mode Examplesβ264Apr 29, 2025Updated last year
- Virtual machines for every use case on DigitalOcean β’ AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.β59Apr 18, 2022Updated 4 years ago
- The open source version of the Amazon SageMaker docsβ253Jun 15, 2023Updated 3 years ago
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)β169Dec 20, 2023Updated 2 years ago
- A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.β172Sep 13, 2023Updated 2 years ago
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMakerβ332Jul 20, 2023Updated 3 years ago
- This repository contains guidance related to SageMaker AI Projects. SageMaker Projects help organizations set up and standardize developeβ¦β235Apr 21, 2026Updated 3 months ago
- A set of Docker images that include popular frameworks for machine learning, data science and visualization.β154Updated this week
- This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studioβ136Apr 20, 2023Updated 3 years ago
- Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensorsβ165May 3, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean β’ AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Custom docker container for Catboost on Amazon SageMakerβ13Sep 22, 2022Updated 3 years ago
- A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurationsβ426Apr 2, 2024Updated 2 years ago
- β139Mar 5, 2026Updated 5 months ago
- β11Feb 15, 2022Updated 4 years ago
- Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWSβ298Apr 15, 2025Updated last year
- Scale complete ML development with Amazon SageMaker Studioβ185Nov 7, 2024Updated last year
- Machine Learning Ops Workshop with SageMaker: lab guides and materials.β334Apr 15, 2021Updated 5 years ago
- The SageMaker Spark Container is a Docker image used to run data processing workloads with the Spark framework on Amazon SageMaker.β43Jul 22, 2026Updated 2 weeks ago
- CMP314 Optimizing NLP models with Amazon EC2 Inf1 instances in Amazon Sagemakerβ14Dec 20, 2023Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform β’ AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Toolkit for allowing inference and serving with MXNet in SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at httpsβ¦β29Sep 13, 2023Updated 2 years ago
- β13Nov 1, 2024Updated last year
- Multi Model Server is a tool for serving neural net models for inferenceβ1,024May 20, 2024Updated 2 years ago
- A curated list of references for Amazon SageMakerβ181Jan 8, 2024Updated 2 years ago
- A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)β260Jul 7, 2025Updated last year
- β271Jul 28, 2026Updated 2 weeks ago
- AI and Machine Learning with Kubeflow, Amazon EKS, and SageMakerβ3,429Jul 31, 2024Updated 2 years ago