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SlunkCrypt is moving to '''[https://lord_mulder.gitlab.io/slunkcrypt/]''' due to ongoing technical problems on OSDN.net!

qtaskwarrior is a graphical interface for the [taskwarrior](https://taskwarrior.org/) program using the Qt framework.

Delphi 7 binding generator for IBM System Object Model (2.1)

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Define communication within a closed group of people who know each other.

This idea is already implemented in PGP, but public key directories are very rare and hard to maintain. For server-to-server communication X509 certificates are perfect and the common login problem can easily be solved by client certificates, as any known system comes with a set of trusted CA's and the certificate stores.

But security has a keyboard to chair interface bottleneck, where the punks sits and does not care about anything.

Lets define a lazy system for lazy people.

This is a very simple, naive and crude PHP implementation of a minimalist gopher server. It only opens a socket, awaits for a (single) client and displays back an informational screen. The program is about 40 lines long.

It is meant as a dumb (simplest possible) example of a gopher server for students and hobbyists to fiddle with and possibly build upon. It supports only a single client at a time for the sake of simplicity. Any evolution, improvements and fixes of this software are left to the users. Good luck.

Written by Mateusz Viste, who released it to the public domain.

Dice endgames is a gambling and logical game with perfect information, at the same time being a variety of both variants of chess and checkers-like games, and dices. In this game, the arrangement of chess pieces depends on the values on the sides of the dice. It was conceived as teaching and training how to solve endgames, problems or random arrangements, such as Fischer's chess, in various board games of logic.

Maintenance of a collection of personal packages for GNU Guix.

A teachable/trainable artificial intelligence music bot inspired by how the new wave band Duran Duran composes music. It uses machine learning to train itself.

The project will consist of the following repositories:
1. Web interface for Neural Machine Translation, and Optical Character Recognition.
2. Data consists of parallel corpuses and to train models.
3. Tools to preprocess the data.
4. Trained AI models for NMT and OCR.

Backup subversion repositories on Windows clients.

This is currently in development.

Close all open source license and projects on device android 12