Guillaume L's starred repositories
numbers-parser
Python module for parsing Apple Numbers .numbers files
public-apis
A collective list of free APIs
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.
Machine-Learning
Examples and experiments around ML for upcoming Coding Train videos
website-archive
Archive of the Coding Train website (first version)