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ail-framework

AIL framework - Analysis Information Leak framework. Project moved to https://github.com/ail-project

algorobinhood

Algorithmic Trading System with Machine Learning

bp-wiki

A fork of the Wordpress plugin bp-wiki with improvements to make it Wordpress 3.8+ compatible

celery-php

PHP client for Celery

cnn-custom-indicators

Custom technical indicator using CNN and data from Cryptomon API.

collabpress

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

glpi

GLPI is a Free Asset and IT Management Software package,ITIL Service Desk, licenses tracking and software auditing.

haloapi

iexfinance

Python SDK for IEX Cloud and the Legacy v1 Investor's Exchange (IEX) Developer API

iky

OSINT Project

laravue-core

Laravel package to provide core functionalities of Laravue dashboard

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

nagios-event-handlers-for-glpi

phpsaml

GLPI Plugin - SAML integration using the Onelogin SAML Library

phpvulhunter

A tool that can scan php vulnerabilities automatically using static analysis methods

progpilot

A static analysis tool for security

proofpoint-tap-logging-for-alienvault

quantico

🌿 (Help wanted) Live quant trading engine for Robinhood in Python 3, now with backtesting.

saas-boilerplate

SaaS boilerplate built in Laravel, Bootstrap 4 and VueJs.

saas-skeleton

基于Laravel & Dcat Admin构建的SAAS后台脚手架.

scheduler

Task Scheduler for Laravel applications. UI from scratch

scraxbrl

SEC Edgar Scraper and XBRL Parser/Renderer

siem

stock-prediction-rnn-lstm

Stock prediction done using RNN and LTSM to resolve vanishing gradient problem. Dataset used is obtained from Pakistan Stock Exchange

stock-price-prediction

Predicting stock price using historical data of a company, using Neural networks (LSTM).

stock-price-prediction-lstm

OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network

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.

wifi-setup

get an IoT device online by first broadcasting a private wifi network that users can connect to to configure your device

wolfinch

Wolfinch is your friendly trader Bot written in Python