Pinned Repositories
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.
QuickDialog
QuickDialog - Quick and easy dialog screens for iOS
react-webpack-babel
Simple React Webpack Babel Starter Kit
requirejs
A file and module loader for JavaScript
RXCollections
higher-order lazy evaluation for Cocoa
seq2seq
Sequence to Sequence Learning with Keras
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.
synaptic
architecture-free neural network library for node.js and the browser
olehf's Repositories
olehf/QuickDialog
QuickDialog - Quick and easy dialog screens for iOS
olehf/react-webpack-babel
Simple React Webpack Babel Starter Kit
olehf/requirejs
A file and module loader for JavaScript
olehf/RXCollections
higher-order lazy evaluation for Cocoa
olehf/seq2seq
Sequence to Sequence Learning with Keras
olehf/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.
olehf/synaptic
architecture-free neural network library for node.js and the browser