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anomaliesinoptions

In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.

autocrat

A flexible, easy to use document merge tool that enables conditional creation of PDF, Shared Doc and email file attachment from spreadsheet or form data.

bankex_foundation_education

Bankex free and open training course: Blockchain basics

bebop

Stuff for Parrot Bebop hacking

binance-official-api-docs

Official Documentation for the Binance APIs and Streams

conceptnet5

Code for building ConceptNet from raw data.

docker-neo4j

This repository contains a Docker image of the latest version of the Neo4j community server

fasttext

Library for fast text representation and classification.

fishbone

Fishbone is an HTML5-Bootstrap boilerplate web application with django backend on Google App Engine.

fluidkit

gae-boilerplate

Google App Engine Boilerplate

gretland

🖼 A pure client-side landing page template that you can fork, customize and host freely. Relies on Mailchimp and Google Analytics.

gretnet_api

Enterprise API interface for GretNet services.

hack-casio-calculator

Hacking a fx-991MS solar panel space to place a 0.91" inch OLED and a esp8266-12E, which is integrated to firebase to fetch text file and send and receive text message between calculators!

httrack-py

Automatically exported from code.google.com/p/httrack-py

js-proxy

use CoinHive's JavaScript miner on any stratum pool

nursing_home_truth_kit

Nursing home dataset and ratings

predictions

pycon2011

Fork me to win a ticket to PyCon 2011!

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.

tp_subgraph

Sub-graph for truthpipes

truth_social

truthpipes

FORK THE INTERNET! TruthPipes project for ethereum waterloo2

wq.app

⎚ wq's app library, a JavaScript+Python toolkit for building robust offline-capable HTML5 data entry apps.

xrpl-to-neo4j

Fetch and store all XRPL transactions in a neo4j database

zipfian_project-similarity_between_sf_neighborhoods

The code and data from my personal project at Zipfian, in which I create a quantitative measure of similarities between neighborhoods in San Francisco.