Sagemaker Python Packages

sagemaker

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

sagemaker-core

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

sagemaker-train

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

gluonts

Probabilistic time series modeling in Python

sagemaker-training

Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.

sagemaker-inference

Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.

sagemaker-pyspark

A Spark library for Amazon SageMaker.

smdebug

Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors

sagemaker-ssh-helper

A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)

sagemaker-studio-image-build

CLI for building Docker images in SageMaker Studio using AWS CodeBuild.

cdklabs-generative-ai-cdk-constructs

AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.

autogluon-cloud

Train and deploy ML models in the cloud

sagemaker-pytorch-training

Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://github.com/aws/deep-learning-containers.

kosty

Scan 30+ AWS services. Find cost waste. Detect security gaps. Map your attack surface. One command.

sagemaker-shim

Adapts algorithms that implement the Grand Challenge inference API for running in SageMaker

jina-sagemaker

Python library for the Jina endpoints in AWS Sagemaker

sagemaker-tensorflow-training

Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https://github.com/aws/deep-learning-containers.

inference-server

Deploy your AI/ML model to Amazon SageMaker for Real-Time Inference and Batch Transform using your own Docker container image.

sagify

Machine Learning Training, Tuning and Deployment on AWS

kedro-sagemaker

Kedro Plugin to support running pipelines on AWS SageMaker.

datajob

Build and deploy a serverless data pipeline on AWS with no effort.

spotty

Training deep learning models on AWS and GCP instances

sagemaker-mxnet-training

Toolkit for running MXNet training scripts on SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https://github.com/aws/deep-learning-containers.

isaacus-sagemaker

A Python library for interacting with SageMaker deployments of the Isaacus API.