Efficient Deep Learning Systems course materials (HSE, YSDA)

Run Kubernetes locally

The open source version of the AWS Data Pipeline documentation. To provide feedback & requests for changes, submit issues in this repository, or make proposed changes & submit a pull request.

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

Workflow Engine for Kubernetes

Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch

AWS Technical Trainers Demos

Code and walkthrough labs to create a customer service chatbot using Amazon Lex (and integrations with Amazon Connect, Twilio SMS, etc.)

AWS Glue code samples

Build a Docker container to build, train and deploy fast.ai based Deep Learning models with Amazon SageMaker

AWS Workshop for Kubernetes

Code and walkthrough labs to set up a serverless chat application for the Zombie Apocalypse Workshop

Notifies users that their notebook instance is still running in case they forgot to shut it down.

Notebooks and examples on how to onboard and use various features of Amazon Forecast.

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

This workshop demonstrates two methods of machine learning inference for global production using AWS Lambda and Amazon SageMaker

Materials for the 2018 re:Invent SEC353 Keeping Secrets chalk talk

A step-by-step guide that shows how to do text classification by run training/inference for a custom model in Amazon SageMaker

A self-paced workshop designed to allow you to get hands on with building a real-time data platform using serverless technologies such as Kinesis Firehose, AWS Lambda and Amazon Elasticsearch.

In this workshop, you will learn techniques to secure a serverless application built with AWS Lambda, Amazon API Gateway and RDS Aurora. We will cover AWS services and features you can leverage to …

Deal with the complexities of dealing with a long lived transaction across distributed components in your microservices architecture using AWS Step Functions.

A workshop demonstrating the capabilities of S3, Athena, Glue, Kinesis, and Quicksight.

Workshop to demonstrate how to apply NN based algorithms to stock market data and forecast price movements.

As customers move from building data lakes and analytics on AWS to building machine learning solutions, one of their biggest challenges is getting visibility into their data for feature engineering…

Build a Conversational Business Intelligence Bot with Amazon Lex

Natural language processing & computer vision models optimized for AWS

Train and Deploy Machine Learning Models on Kubernetes using Amazon EKS

Contains Lambda functions to be used for automatic rotation of secrets stored in AWS Secrets Manager

A serverless notification mechanism to manage Amazon RDS manual snapshots for both RDS Instances and Aurora Clusters. The solution manages creatiton of manual snapshot, deletion of old snapshots, a…