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CssToInlineStyles is a class that enables you to convert HTML-pages/files into HTML-pages/files with inline styles. This is very usefull when you're sending emails.

The Forge Cross-Platform Framework PC Windows, Steamdeck (native), Ray Tracing, macOS / iOS, Android, XBOX, PS4, PS5, Switch, Quest 2

noUiSlider is a lightweight, ARIA-accessible JavaScript range slider with multi-touch and keyboard support. It is fully GPU animated: no reflows, so it is fast; even on older devices. It also fits wonderfully in responsive designs and has no dependencies.

Task manager with Todoist, Nextcloud & CalDAV support designed for GNOME

  • vala
  • todoapp
  • todoist
  • todoist-api

Golang ORM with focus on PostgreSQL features and performance

ClosedXML is a .NET library for reading, manipulating and writing Excel 2007+ (.xlsx, .xlsm) files. It aims to provide an intuitive and user-friendly interface to dealing with the underlying OpenXML API.

XLForm is the most flexible and powerful iOS library to create dynamic table-view forms. Fully compatible with Swift & Obj-C.

  • xlform
  • forms
  • swift
  • objective-c

Easy interactive web applications with R

  • r
  • rstudio
  • shiny
  • reactive

The Rocq Prover is an interactive theorem prover, or proof assistant. It provides a formal language to write mathematical definitions, executable algorithms and theorems together with an environment for semi-interactive development of machine-checked proofs.

A cross-platform file change monitor with multiple backends: Apple macOS File System Events, *BSD kqueue, Solaris/Illumos File Events Notification, Linux inotify and fanotify, Microsoft Windows and a stat()-based backend.

  • event-notifications
  • change-monitor
  • fswatch
  • kqueue

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.