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artificial-intelligence-for-trading

Content for Udacity's AI in Trading NanoDegree.

bball4all

Basketball News App that consumes data from JSON file, built with React JS

data-visualization

Collection of interactive Jupiter Notebook widgets and graphs.

demos

Some works published as demos

dlib

A toolkit for making real world machine learning and data analysis applications in C++

dolibarr

Dolibarr ERP CRM is a modern software package to manage your company or foundation activity (contacts, suppliers, invoices, orders, stocks, agenda, ...).It's opensource software (wrote with PHP language) designed for small and medium companies, foundation and freelances. You can freely install, use and distribute it as a standalone application or as a web application to use it from every internet access and media.

ebooks-1

Collection of eBooks

embark

Framework for serverless Decentralized Applications using Ethereum, IPFS and other platforms

face_recognition

The world's simplest facial recognition api for Python and the command line

fake-newz

playing with react and redux to consume json data

gitbook

learnopencv

Learn OpenCV : C++ and Python Examples

machine-learning-with-python

Python code for common Machine Learning Algorithms

medium_code

models

Models and examples built with TensorFlow

node-mysql-crud-app

A CRUD application made with Node JS and MySQL

nodejs-passportjs-login-mysql

predictions

pyabs

Useful functions to analyze Asset Backed Securities deals

python-fingerprint-recognition

Fingerprint recognition with OpenCV

simple-stocks-deep-learning

Use deep learning to predict future stock prices

sonos

A webapp built with React that consumes data from a json file

stock-price-prediction

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

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.

stocks

Programs for stock prediction and evaluation

stocksight

Stock analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

tezos-voting-dapp

Simple Voting dapp on the Tezos blockchain platform

thepythonmegacourse

tkldev1

todo-cli

CLI todoapp made with node js