Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http://scikit-learn.org/stable/)
β182Feb 12, 2026Updated 2 weeks ago
Alternatives and similar repositories for sagemaker-scikit-learn-container
Users that are interested in sagemaker-scikit-learn-container are comparing it to the libraries listed below
Sorting:
- Serve machine learning models within a π³ Docker container using π§ Amazon SageMaker.β412Nov 20, 2023Updated 2 years ago
- Train machine learning models within a π³ Docker container using π§ Amazon SageMaker.β534Jan 16, 2026Updated last month
- A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.β172Sep 13, 2023Updated 2 years ago
- The SageMaker Spark Container is a Docker image used to run data processing workloads with the Spark framework on Amazon SageMaker.β40Feb 11, 2026Updated 2 weeks ago
- A library for training and deploying machine learning models on Amazon SageMakerβ2,227Feb 20, 2026Updated last week
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://githβ¦β205Aug 25, 2025Updated 6 months ago
- Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https:β¦β271Jun 4, 2025Updated 8 months ago
- One stop shop for running AI/ML on AWS.β1,141Updated this week
- A library of additional estimators and SageMaker tools based on scikit-learnβ41Feb 1, 2024Updated 2 years ago
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)β170Dec 20, 2023Updated 2 years ago
- Toolkit for running MXNet training scripts on SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https://github.cβ¦β60Feb 11, 2025Updated last year
- Docker container for running Chainer scripts to train and host Chainer models on SageMakerβ19Apr 10, 2023Updated 2 years ago
- Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at hβ¦β142Oct 7, 2024Updated last year
- Deploy Amazon SageMaker notebook using CloudFormation custom resourceβ18May 8, 2018Updated 7 years ago
- 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
- β10Feb 14, 2019Updated 7 years ago
- β11Feb 15, 2022Updated 4 years ago
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.β127Nov 14, 2023Updated 2 years ago
- Example π Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using π§ Amazon SageMaker.β10,881Updated this week
- A Jupyter server extension to proxy requests with AWS SigV4 authenticationβ22Jul 12, 2023Updated 2 years ago
- β138Feb 3, 2026Updated 3 weeks ago
- Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to eventsβ144Oct 7, 2023Updated 2 years ago
- SageMaker specific extensions to TensorFlow.β54Jul 23, 2024Updated last year
- CMP314 Optimizing NLP models with Amazon EC2 Inf1 instances in Amazon Sagemakerβ14Dec 20, 2023Updated 2 years ago
- This repository contains guidance related to SageMaker AI Projects. SageMaker Projects help organizations set up and standardize developeβ¦β232Feb 11, 2026Updated 2 weeks ago
- Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWSβ295Apr 15, 2025Updated 10 months ago
- β17Jan 30, 2024Updated 2 years ago
- Amazon SageMaker Local Mode Examplesβ263Apr 29, 2025Updated 9 months ago
- A recipe of SageMaker Ground Truth Lambdas to be used for creating labeling jobs with custom task typeβ26Oct 11, 2022Updated 3 years ago
- This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studioβ135Apr 20, 2023Updated 2 years ago
- MLOps example using Amazon SageMaker Pipeline and GitHub Actionsβ88Jul 5, 2025Updated 7 months ago
- Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensorsβ165May 3, 2024Updated last year
- Scale complete ML development with Amazon SageMaker Studioβ186Nov 7, 2024Updated last year
- Building e-health IoT solutions with AWSβ23Nov 2, 2018Updated 7 years ago
- β25Jan 5, 2021Updated 5 years ago
- Hands-on end-to-end workshop to explore Amazon SageMaker.β62Mar 5, 2023Updated 2 years ago
- Amazon Q Business enables querying structured data using natural language, leveraging schemas and metadata. This example demonstrates an β¦β19Nov 13, 2024Updated last year
- β11Sep 20, 2021Updated 4 years ago
- β319Feb 18, 2026Updated last week