Pinned Repositories
amazon-forecast-samples
Notebooks and examples on how to onboard and use various features of Amazon Forecast.
improving-forecast-accuracy-with-machine-learning
The Improving Forecast Accuracy with Machine Learning solution generates, tests, compares, and iterates on Amazon Forecast forecasts. The solution automatically produces forecasts and generates visualization dashboards for Amazon QuickSight or Amazon SageMaker Jupyter Notebooks—providing a quick, easy, drag-and-drop interface that displays time series input and forecasted output.
constructs
Define composable configuration models through code
moto
A library that allows you to easily mock out tests based on AWS infrastructure.
homebridge-ratgdo
🚗 non-myQ Liftmaster, Chamberlain, and Ratgdo Plugin for Homebridge
json-log-formatter
Python JSON log formatter
amazon-forecast-samples
Notebooks and examples on how to onboard and use various features of Amazon Forecast.
amazon-personalize-immersion-day
aws-cdk
The AWS Cloud Development Kit is a framework for defining cloud infrastructure in code
constructs
Define composable configuration models through code
pwrmiller's Repositories
pwrmiller/amazon-forecast-samples
Notebooks and examples on how to onboard and use various features of Amazon Forecast.
pwrmiller/amazon-personalize-immersion-day
pwrmiller/aws-cdk
The AWS Cloud Development Kit is a framework for defining cloud infrastructure in code
pwrmiller/constructs
Define composable configuration models through code