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

gluonts

Probabilistic time series modeling in Python

sagemaker-train

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

spotty

Training deep learning models on AWS and GCP instances

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.

sagemaker-ssh-helper

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

smdebug

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

cdklabs-generative-ai-cdk-constructs

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

sagemaker-studio-image-build

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

kosty

AWS Cost Optimization & Security Audit CLI Tool - Identify cost waste, security vulnerabilities, and compliance issues across 16 core AWS services

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.

sagemaker-shim

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

sagify

LLMs and Machine Learning done easily

inference-server

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

kedro-sagemaker

Kedro plugin with AWS SageMaker Pipelines support

jina-sagemaker

Python library for the Jina endpoints in AWS Sagemaker

datajob

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

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 AWS SageMaker AI deployments of the Isaacus API.

py-dreambooth

Easily create your own AI avatar images!