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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.

Grok WebGL2 and GLSL through a sequence of guided tutorials, each chunked into atomic Q&A cards suitable for spaced repetition, with hands-on projects and solution code integrated throughout.

🗂️ This repository provides a guide to creating Xcode templates for iOS boilerplate code to save time and increase creativity in development. It simplifies the process and helps new team members get up to speed. A solution to Xcode's poorly documented templates.

  • boilerplate
  • swift
  • template
  • xcode

Simple Genetic Algorithm for demonstration purposes

  • genetic-algorithm
  • evolutionary-algorithms
  • evolutionary-algorithm
  • evolutionary-computation