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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.

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

  • openemr
  • practice-management
  • emr
  • ehr

An implementation of tap targets from the Material Design guidelines for feature discovery.

  • material
  • feature-discovery
  • android
  • material-design

The most scalable and customizable permission server on the market. Fix your slow or broken permission system with Google's proven "Zanzibar" approach. Supports ACL, RBAC, and more. Written in Go, cloud native, headless, API-first. Available as a service on Ory Network and for self-hosters.

  • hacktoberfest
  • abac
  • access-control
  • acl

🚀 Kick-start your C++! A template for modern C++ projects using CMake, CI, code coverage, clang-format, reproducible dependency management and much more.

  • cpp
  • cmake
  • template
  • dependency-manager

KolodaView is a class designed to simplify the implementation of Tinder like cards on iOS.

  • ios
  • swift
  • kolodaview
  • animation

:clock8: :hourglass: timeago.js is a tiny(2.0 kb) library used to format date with `*** time ago` statement.

  • timeago
  • datetime
  • tiny
  • multi-language

Legendary - A free and open-source replacement for the Epic Games Launcher

  • epicgames-launcher
  • epic-games
  • epic-games-client
  • epic-games-launcher

Safety-first disk cleaner and space analyzer for macOS, Windows and Linux, with duplicate cleanup, app uninstall, startup management, system optimization, and maintenance.

TranslatedBrings the local Wallpaper Engine wallpapers into the DSH web interface: scene wallpapers are rendered in real time with WebGL by the built-in MIT open-source engine WebWallGL (particles / puppet skeletons / SceneScript / audio reactivity / mouse interaction), and if that fails it automatically falls back to an embedded MP4 and the scene's static frame; web wallpapers run in a strict sandbox + the WE API; iOS-style liquid glass UI that is highly customizable, pause when occluded to save power, ffmpeg transcoding with a frame rate cap, system audio spectrum and Now Playing, custom upload and automatic rotation; settings are stored on the host side, with zero token overhead for the agent. Native on all three platforms: Windows / macOS / Linux (the same package, the same command).