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TranslatedVSCode extension: automatically generates and automatically updates the header comments of VSCode files, automatically generates function comments and supports extracting function parameters, supports all mainstream languages, has complete documentation, is simple to use, has flexible and convenient configuration, and has been continuously maintained for many years.

  • vscode
  • vscode-plugin
  • fileheader
  • annotations

Countly is a privacy-first, AI-powered analytics and engagement platform for understanding and optimizing customer journeys across digital applications, from desktop and mobile to IoT and connected environments.

  • web-analytics
  • dashboard
  • mobile-analytics
  • analytics

TranslatedNideShop open-source WeChat mini program shop server-side API (Node.js + ThinkJS)

  • nideshop
  • wechat-app
  • min-program
  • shopping

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.