igabr

fdiworkshop

amazon-sagemaker-bert-pytorch

secure-data-science-reference-architecture

A collection of recommended practices to accelerate the building of secure data science environments in regulated environments.

models

Models and examples built with TensorFlow

fastai2-sagemaker-train-demo

sagemaker-graph-fraud-detection

Use Amazon SageMaker and Deep Graph Library (DGL) for Fraud Detection in Networks

sagemaker-deep-demand-forecast

Using Deep Learning for Demand Forecasting with Amazon SageMaker

shap

A game theoretic approach to explain the output of any machine learning model.

sagemaker-explaining-credit-decisions

Amazon SageMaker Solution for explaining credit decisions.

pytorch2tf

Repo to demonstrate conversion from PyTorch to TensorFlow

covid-mask-detector

Detect whether a person is wearing a mask or not

linux-basics-course

sagemaker-pytorch-inference-toolkit

Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://github.com/aws/deep-learning-containers.

treeinterpreter

document-understanding-solution

Example of integrating & using Amazon Textract, Amazon Comprehend, Amazon Comprehend Medical, Amazon Kendra to automate the processing of documents for use cases such as enterprise search and discovery, control and compliance, and general business process workflow.

amazon-textract-enhancer

This workshop demonstrates how to build a Document parser and query engine with Amazon Textract and other services, such as ElasticSearch and DynamoDB.

amazon-sagemaker-predict-accessibility

Build end-to-end Machine Learning pipeline to predict accessibility of playgrounds in NYC

aws-step-functions-data-science-sdk-python

Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS

aws-sagemaker-text-based-product-search

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

flair-sagemaker-samples

amazon-sagemaker-nvidia-ngc-examples

Examples showing use of NGC containers and models withing Amazon SageMaker

multi-model-server

Multi Model Server is a tool for serving neural net models for inference

sagemaker-python-sdk

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

serve

Serve, optimize and scale PyTorch models in production

torchserve-examples

Repository with torchserve examples

sagemaker-training-toolkit

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

sagemaker-byo-catboost-container-demo

Custom docker container for Catboost on Amazon SageMaker

sagemaker-inference-toolkit

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

cross-account-mlops

MLOps with Amazon Sagemaker and Amazon CodePipeline with multiple AWS accounts