panamantis Goto Github PK
Name: Jon
Type: User
Company: Panamantis Inc.
Location: Toronto, Canada
Blog: panamantis.com
Name: Jon
Type: User
Company: Panamantis Inc.
Location: Toronto, Canada
Blog: panamantis.com
In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.
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 free and open training course: Blockchain basics
Stuff for Parrot Bebop hacking
Official Documentation for the Binance APIs and Streams
Code for building ConceptNet from raw data.
This repository contains a Docker image of the latest version of the Neo4j community server
Library for fast text representation and classification.
Fishbone is an HTML5-Bootstrap boilerplate web application with django backend on Google App Engine.
Google App Engine Boilerplate
🖼 A pure client-side landing page template that you can fork, customize and host freely. Relies on Mailchimp and Google Analytics.
Enterprise API interface for GretNet services.
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!
Automatically exported from code.google.com/p/httrack-py
use CoinHive's JavaScript miner on any stratum pool
Nursing home dataset and ratings
Fork me to win a ticket to PyCon 2011!
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.
Sub-graph for truthpipes
FORK THE INTERNET! TruthPipes project for ethereum waterloo2
⎚ wq's app library, a JavaScript+Python toolkit for building robust offline-capable HTML5 data entry apps.
Fetch and store all XRPL transactions in a neo4j database
The code and data from my personal project at Zipfian, in which I create a quantitative measure of similarities between neighborhoods in San Francisco.
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.