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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.

Golang package that generates clean, responsive HTML e-mails for sending transactional mail

  • golang
  • hermes
  • generator
  • mailgen

A curated list of awesome tools, research, papers and other projects related to password cracking and password security.

  • hashcat
  • password-cracking
  • hash-cracking
  • john-the-ripper

Copygen generates code based on Go types. Generate type-based code to copy values from type to type and fields from struct to struct by default (copier without reflection).

Sample code for a java application that uses Elastic Beanstalk, S3, DynamoDB, and SQS to create a meme generation website and processing pipeline. For a demonstration of the application in action, see this talk from AWS re:Invent 2012: http://www.youtube.com/watch?v=YeRNErD81VA

Generate, encode, and decode UUIDs v1 with fast or cryptographic-quality random node identifier.

  • manipulating-uuids
  • guid
  • uuid-generator
  • uuid1