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This repo contains implementation of advanced ML techniques. Includes model ensembles, cost-sensitive learning and dealing with class imbalance.
CloudFormation templates and scripts demonstrating how to build a promotion recommendation system using Kinesis and SageMaker.
Materials for a 3-day instructor led course on applying machine learning
A project template for developing BYOD docker images for use in Amazon SageMaker.
Deploy Amazon SageMaker notebook using CloudFormation custom resource
A step-by-step guide that shows how to do text classification by run training/inference for a custom model in Amazon SageMaker
Workshop to demonstrate how to apply NN based algorithms to stock market data and forecast price movements.
Learn AWS CloudFormation for infrastructure as code (IaC)
Task Definitions for running common applications Amazon ECS
Provides you sample code on how to use scheduled tasks (cron) feature in Amazon EC2 Container Service, and how it integrates with CloudWatch events while leveraging Spot fleet cluster for Cost efficient ECS cluster use.
Development configs
Skill-based Conversational Agent for NIPS Conversational Intelligence Challenge 2017
:arrow_down_small: Display any CSV (comma separated values) file as a searchable, filterable, pretty HTML table
Stock for Deep Learning and Machine Learning
A detailed hands on guide for deploying a microservice based application on ECS and setting up a CodePipeline for continuous delivery
published by Packt
Reference architecture for doing blue green deployments on ECS.
Material for re:Invent 2016 - CON314 - Workshop: Deploy a Deep Learning Framework on Amazon ECS and EC2 Spot Instances
A simple PHP sample application http://aws.amazon.com/ecs
A reference architecture for handling batch processing workloads using Amazon ECS.
A reference architecture for deploying containerized microservices with Amazon ECS and AWS CloudFormation (YAML)
ECS Reference Architecture for creating a flexible and scalable deployment pipeline to Amazon ECS using AWS CodePipeline
The strategy-backtesting repository will hold the event driven python backtester. This program will test algorithmic strategies and provide interaction to a fake Interactive Brokers portfolio.
A quick example of using Scikit-Learn from a Docker container
Node wrapper around FastText Library
fastText Quick Start Guide, published by Packt
Serverless hashtag recommendations using fastText and Python with AWS Lambda
:chart_with_upwards_trend: Find your fasttext hyperparameters quickly and easily.
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.