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onroa-cordova

onroa-database

onroa-web

openssp

openssp

ory-reference-compose

Reference ORY Docker Compose setup

oryx

Simple real-time large-scale machine learning infrastructure.

osquery-configuration

A repository for using osquery for incident detection and response

pagerank

Implementation of the PageRank algorithm

pagerankgraph

Visualizes search engine ranking algorithms for a given domain

pdf.js

PDF Reader in JavaScript

pictshare

:camera: PictShare is an multi lingual, open source image and mp4 hosting service with a simple resizing and upload API that you can host yourself. :rice_scene:

piper

piper - distributed workflow engine

polymer

Leverage the future of the web platform today.

predictionio

PredictionIO, a machine learning server for developers and ML engineers. Built on Apache Spark, HBase and Spray.

processmaker

ProcessMaker Open Source

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

pubfood

Header bidding JavaScript client library.

qbe

Django implementantion for Query By Example (QBE)

quantlib

The QuantLib C++ library and extensions

redash

Make Your Company Data Driven. Connect to any data source, easily visualize and share your data.

redpanda-docker-compose

Redpanda docker compose example

rfid-based-asset-tracking-with-nodejs-and-mongodb

RFID-based Asset Tracking with Node.js and MongoDB

scripts

just some scripts that I use

sharelatex

A web-based collaborative LaTeX editor

sifarish

Content based and collaborative filtering based recommendation and personalization engine implementation on Hadoop and Storm

sigma.js

A JavaScript library dedicated to graph drawing

slate

Beautiful static documentation for your API

ssearch

SSEARCH is open source search tool for pawing files and finding the ones including search text in S3 buckets. It's backend has been fully implemented in Go and UI in React.

statusok

Monitor your Website and APIs from your Computer. Get Notified through Slack, E-mail when your server is down or response time is more than expected.

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.