Sagemaker

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Probabilistic time series modeling in Python

A library for training and deploying machine learning models on Amazon SageMaker

Explain & debug any blackbox machine learning model with a single line of code.

A collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs.

A Spark library for Amazon SageMaker.

This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts…

Amazon SageMaker AI collection of examples, code samples and recipes.

Deploy Generative AI models from Amazon SageMaker JumpStart using AWS CDK

Workshop showcasing how to run defect detection using computer vision at the edge with Amazon SageMaker

ACK service controller for Amazon SageMaker

Train and deploy ML models in the cloud

A continuous integration (CI) system for 📓 Jupyter notebooks, built using 🧠 Amazon SageMaker.