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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.

scanner detecting the use of JavaScript libraries with known vulnerabilities. Can also generate an SBOM of the libraries it finds.

  • vulnerabilities
  • scanner
  • firefox-extension
  • grunt-plugins

The gossip and replication server for Secure Scuttlebutt - a distributed social network

  • scuttlebot
  • javascript
  • scuttlebutt
  • gossip

🚀 Upload files via DDP or HTTP to ☄️ Meteor server FS, AWS, GridFS, DropBox or Google Drive. Fast, secure and robust.

  • meteor
  • meteor-package
  • meteor-files
  • gridfs