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native-experiment

natural

general natural language facilities for node

neurojs

A javascript deep learning and reinforcement learning library.

node-fb-messenger

:envelope: Facebook Messenger Platform NodeJS API Wrapper

nudetech

Automatically exported from code.google.com/p/nudetech

oop-java

Java learning OOP

opendialog

OpenDialog is a Conversational Experience Platform - the starting point for your own conversational applications.

opentracing-python

OpenTracing API for Python

orchestrate-with-kubernetes

Orchestrating the Cloud with Kubernetes

override-sylius

This is our Cyclonize.com which is developed on top of Sylius

parallec

Fast Parallel Async HTTP/SSH/TCP/UDP/Ping Client Java Library. Aggregate 100,000 APIs & send anywhere in 20 lines of code. Ping/HTTP Calls 8000 servers in 12 seconds. (Akka) www.parallec.io

pattern

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

php-build

Builds PHP so that multiple versions can be used side by side.

php-code-generator

PHP code generator library

php-oop

PHP OOP

pinview

A pinview library for android. :sparkles:

pipeline_kafka

PipelineDB extension for Kafka support

prestissimo

composer parallel install plugin

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

pushkin

Pushkin is a free open source tool for sending push notifications

pyod

A Python Toolkit for Scalable Outlier Detection (Anomaly Detection)

python-package-example

quarkus-renarde

Server-side Web Framework with Qute templating, magic/easier controllers, auth, reverse-routing

realtime-analytics

Realtime analytics, this includes the core components of Pulsar pipeline.

schemaless

Demo Schemaless on Postgresql

shopizer

Shopizer java e-commerce software

simple-fe-stack

Create stack

simple-php-mysql

Simple MySQL connector PHP

solrbundle

Solr-Integration into Symfony2 and Doctrine2

spark-anomaly-detection

Detecting outliers in a dataset using Spark