Easy to use F#-like ~discriminated~ unions for C# with exhaustive compile time matching

MIT License

OneOf

       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.

stockpredictionai

Tensorflow implementation of "Learning Deep Features for Discriminative Localization"

Weakly_detector

Regularized discriminant analysis in Julia.

OneOf

stockpredictionai

Weakly_detector

DiscriminantAnalysis.jl