Build and deploy custom ML containers on AWS SageMaker with minimal configuration.

MDAA SageMaker Shared Constructs

MDAA SageMaker Pipeline app — pure CDK pipeline definition via CfnPipeline

The Hugging Face LLM CDK Construct Library provides constructs to easily deploy a Hugging Face LLM model to Amazon SageMaker.

MDAA SageMaker Model Training L3 Construct

MDAA SageMaker Endpoint app — pure CDK real-time inference endpoint

CDK Constructs for AWS API Gateway and Amazon SageMaker Endpoint integration.

Amazon SageMaker runtime API.

Provides APIs for managing SageMaker resources.

SageMaker Edge Manager dataplane service for active agent communication.

SageMaker transport for the Deepgram JavaScript SDK

The library enables owners of a trained sagemaker model, to access its Endpoints from a winglang inflight code.

Serverless Plugin with AWS Sagemaker Groundtruth utilities (local template testing, task creation, task status ...)

CDK constructs for defining an interaction between an AWS Lambda function and an Amazon SageMaker inference endpoint.

Amazon SageMaker Feature Store data plane API for feature operations.

This package provides utilities for training and deploying machine learning models on AWS SageMaker. It supports multiple ML frameworks including PyTorch, TensorFlow, XGBoost, Scikit-learn, and HuggingFace.

CDK Constructs for AWS Lambda to AWS Sagemaker integration.

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AWS Bedrock, SageMaker, and Lambda tools for Chidori TypeScript agents.

DataFire integration for Amazon SageMaker Service