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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.

✨ PTerm is a modern Go module to easily beautify console output. Featuring charts, progressbars, tables, trees, text input, select menus and much more 🚀 It's completely configurable and 100% cross-platform compatible.

  • go
  • golang
  • golang-library
  • pretty-print

Codebase intelligence for TypeScript and JavaScript. Health, complexity hotspots, duplication, architecture boundaries, circular dependencies, design-system drift, and unused code, from one graph. CLI, GitHub Action, LSP, MCP, and VS Code. Rust, MIT licensed.

Unix pager (with very rich functionality) designed for work with tables. Designed for PostgreSQL, but MySQL is supported too. Works well with pgcli too. Can be used as CSV or TSV viewer too. It supports searching, selecting rows, columns, or block and export selected area to clipboard.

The best javascript plugin for app look-alike on- and off-canvas menus with sliding submenus for your website and webapp.

  • mmenu
  • menu
  • navigation
  • js

Valve's official ARM64 SteamOS in a lightweight VM on Apple Silicon: libkrun + Venus + MoltenVK, controllers, CoreAudio sound

  • apple-silicon
  • libkrun
  • macos
  • moltenvk

An incredibly fast, pure Elixir JSON library

  • elixir
  • elixir-libraries
  • json
  • json-library

Simple, fast, accurate single-header microbenchmarking functionality for C++11/14/17/20