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Here you can find the files of the article https://linuxacademy.com/howtoguides/posts/show/topic/13922-a-complete-aws-environment-with-terraform . In the article there is the full description how to build a complete aws environment with Terraform
This code enables end-users to create AWS accounts and setup a custom base configuration quickly in an automated way.
AWS Workshop tutorial for building applications with Amazon AI Services
AI_ML_Workshops
This project demonstrates how to access and test the Alexa Voice Service using a Java client (running on a Raspberry Pi), and a Node.js server.
Repo used for Alexa CI/CD project
base2 Amazon Echo Bot to do DevOps stuff
Sample Jupyter Notebooks for Amazon Augmented AI (A2I)
Over 60 example task UIs for Amazon Augmented AI (A2I)
🌉 Reference implementation for granting cross-account AWS Glue Data Catalog access from Amazon Athena
Analyze your Amazon CloudFront Access Logs at Scale with Amazon Athena.
This repository contains code samples, learning activities, and best-practices for scaling and elasticity with Amazon EC2 Auto Scaling groups.
Amazon EC2 Master Class (with Auto Scaling and Load Balancer), published by Packt
Automatically gets credentials for Amazon ECR on docker push/docker pull
This workshop will show solutions architects how to take advantage of a petabyte scale distributed file system for various application workloads like analytics, web serving & content management, enterprise applications, and Docker containers.
Data ingestion for Amazon Elasticsearch Service from S3 and Amazon Kinesis, using AWS Lambda: Sample code
Content for the Amazon Elasticsearch Service Developer Guide. Issues and pull requests appreciated.
Secure Amazon ElasticSearch with AD/LDAP based Authentication & Authorization
Securely Access Web Interfaces on Amazon EMR Launched in a Private Subnet using an Application Load Balancer
Notebooks and examples on how to onboard and use various features of Amazon Forecast.
This script is used to generate some basic detections of the GuardDuty service
Validate your network configuration using the Amazon Inspector Network Reachability Report.
Build a Conversational Business Intelligence Bot with Amazon Lex
Can you set up a data warehouse and create a dashboard in under 60 minutes? In this workshop, we show you how with Amazon Redshift, a fully managed cloud data warehouse that provides first-rate performance at the lowest cost for queries across your data warehouse and data lake. Learn the steps and best practices for deploying your data warehouse in your organization. Also, learn how to query petabytes of data in your data warehouse and exabytes of data, without loading or moving, in your Amazon S3 data lake. Finally, learn how to easily migrate from traditional or on-premises data warehouses.
Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment
amazon-sagemaker-cdk-examples uses AWS CDK to simplify common architectures in machine leaning operations using Sagemaker and other AWS services.
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
A step-by-step guide that shows how to do text classification by run training/inference for a custom model in Amazon SageMaker
A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.