mrvaldemar Goto Github PK
Name: Mr. Valdemar
Type: Organization
Location: Bogotá
Blog: www.mrvaldemar.com
Name: Mr. Valdemar
Type: Organization
Location: Bogotá
Blog: www.mrvaldemar.com
Amazon Kinesis Producer Library
Notebooks and examples on how to onboard and use various features of Amazon Personalize
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
Transcribe news audio in realtime.
Automating AWS Migration with CloudEndure Scripts to accelerate the migration and reduce migration errors
A collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs.
This software compares the output and running time of the EMR cluster. The architecture has been designed that users can throw(like shooting) a request, and receive a result(like score) by email, as if they were playing a basketball game.
Example local Lambda functions that can be used with AWS Greengrass and the AWS Greengrass Provisioner.
Samples for AWS Greengrass
This workshop shows how you can use an IP-based machine learning algorithm with Amazon SageMaker to augment and enrich findings from AWS Security services such as Amazon GuardDuty. You'll learn how to load the notebook in SageMaker, train the model, and score findings to determine abnormality of the activity.
AWS Certified Machine Learning-Specialty (ML-S) Guide
Creates a CloudFormation template that uses AWS StepFunctions to automate the building and training of Sagemaker custom models based on S3 and GitHub events
CLI tool to build, test, debug, and deploy Serverless applications using AWS SAM
An integrated shell for working with the AWS CLI.
This repository contains code and guides for getting your team quickly started with the ML gameday event.
This support code is used for making machine learning frameworks (e.g. MXNet, TensorFlow) run on Amazon SageMaker.
Code and associated files for the deploying ML models within AWS SageMaker
SageMaker listado de ejercicios
Sagemaker pipeline for AWS Summit New York
A library for training and deploying machine learning models on Amazon SageMaker
AWS Serverless Application Model (SAM) is an open-source framework for building serverless applications
This example shows how to build a serverless pipeline to orchestrate the continuous training and deployment of a linear regression model for predicting housing prices using Amazon SageMaker, AWS Step Functions, AWS Lambda, and Amazon CloudWatch Events.
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.