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

Provide JSON file template that demonstrate how to create customize Well-Architected reviews using Custom lenses.

A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS

Application implementation with business use cases for safely utilizing generative AI in business operations

Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!

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

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

Training deep learning models on AWS and GCP instances

LLMs and Machine Learning done easily

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

Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...

Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker

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

A Spark library for Amazon SageMaker.

Library for automatic retraining and continual learning

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

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

Amazon SageMaker Local Mode Examples