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Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
light application server
This project is an adaptation of the Apache AsyncHttpClient implementation
CNN-Daisy-Dandelion Classification
Open Source, Distributed, RESTful Search Engine
A web front end for an elastic search cluster
Simple re-indexing. To backup, apply index settings changes and more ElasticMagic
Example bots for the AbilityBots API and abstraction
Forecasting Time-Series Data with Facebook Prophet, published by Packt
A financial model to forecast next day SPY closing prices
Mirror of Apache Jackrabbit Oak
Using Java with kdb+
jQuery/MooTools/YUI3 Javascript library that lets you connect parts of your UI together.
Repository containing notebooks of my posts on Medium
A collection of tools useful when working with JBoss Netty.
Re-write of the open source VTN for OpenADR 2.0
Online Course of Time Series Analysis
Series of notebooks to illustrate different plotting features using Python
interprocess communication between Python and kdb+
The dataset is used to train my own raccoon detector and I blogged about it on Medium
Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.
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.