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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.

ZipArchive is a simple utility class for zipping and unzipping files on iOS, macOS and tvOS.

  • unzipping-files
  • ziparchive
  • swift
  • objective-c

Perceptual video quality assessment based on multi-method fusion.

The most popular open source electronic health records and medical practice management solution.

  • openemr
  • practice-management
  • emr
  • ehr

The Penetration Testers Framework (PTF) is a way for modular support for up-to-date tools.