SageMaker Python SDK Files

Training and deploying machine learning models on Amazon SageMaker

This is an exact mirror of the SageMaker Python SDK project, hosted at https://github.com/aws/sagemaker-python-sdk. SourceForge is not affiliated with SageMaker Python SDK. For more information, see the SourceForge Open Source Mirror Directory.

The interactive file manager requires Javascript. Please enable it or use sftp or scp.
You may still browse the files here.

Name	Modified	Size	InfoDownloads / Week
Parent folder
README.md	2025-10-10	369 Bytes	0
v2.253.0 source code.tar.gz	2025-10-10	163.6 MB	0
v2.253.0 source code.zip	2025-10-10	164.6 MB	0
Totals: 3 Items		328.2 MB	0

Features

Added condition to allow eval recipe.
add model_type hyperparameter support for Nova recipes

Bug Fixes and Other Changes

Fix for a failed slow test: numpy fix
Add numpy 2.0 support
chore: domain support for eu-isoe-west-1
Adding default identity implementations to InferenceSpec
djl regions fixes [#5273]
Fix flaky integ test

Source: README.md, updated 2025-10-10

Other Useful Business Software

MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.

Start Free

Keep company data safe with Chrome Enterprise

Protect your business with AI policies and data loss prevention in the browser

Make AI work your way with Chrome Enterprise. Block unapproved sites and set custom data controls that align with your company's policies.

Download Chrome

Recommended Projects

AWS Deep Learning Containers
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. Deep Learning Containers provide optimized environments with TensorFlow and MXNet, Nvidia CUDA (for GPU instances), and Intel MKL (for CPU instances)...
OpenVINO
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference. Boost deep learning performance in computer vision, automatic speech recognition, natural language processing and other common tasks. Use models trained with popular frameworks like TensorFlow, PyTorch and more....
Ray
Modern workloads like deep learning and hyperparameter tuning are compute-intensive and require distributed or parallel execution. Ray makes it effortless to parallelize single machine code — go from a single CPU to multi-core, multi-GPU or multi-node with minimal code changes. Accelerate your...
SageMaker Scikit-Learn Extension
A library of additional estimators and SageMaker tools based on scikit-learn. This project contains standalone scikit-learn estimators and additional tools to support SageMaker Autopilot. Many of the additional estimators are based on existing scikit-learn estimators. SageMaker Scikit-Learn...
ONNX Runtime
ONNX Runtime is a cross-platform inference and training machine-learning accelerator. ONNX Runtime inference can enable faster customer experiences and lower costs, supporting models from deep learning frameworks such as PyTorch and TensorFlow/Keras as well as classical machine learning...

SageMaker Python SDK Files

Training and deploying machine learning models on Amazon SageMaker

Get an email when there's a new version of SageMaker Python SDK

Features

Bug Fixes and Other Changes