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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.

A TypeScript chess library for chess move generation/validation, piece placement/movement, and check/checkmate/draw detection

  • chess

APT-Hunter is Threat Hunting tool for windows event logs which made by purple team mindset to provide detect APT movements hidden in the sea of windows event logs to decrease the time to uncover suspicious activity

Artificial Intelligence framework for games based on libGDX or not. Features: Steering Behaviors, Formation Motion, Pathfinding, Behavior Trees and Finite State Machines

  • libgdx
  • pathfinding
  • steering-behaviors
  • formation-motion

OpenBoxes is a warehouse management system designed to manage inventory and track stock movements for healthcare facilities.

  • inventory-management
  • warehouse-management
  • shipment-tracking
  • healthcare

Spokenvote.org is a social voting app for reaching consensus in a group of any size, coded in Ruby on Rails and AngularJS. At the center of the direct democracy movement, Spokenvote radically enhances a group’s ability to reach consensus and make better decisions using an intuitive democratic process.