vocab VS xact

This is _extremely_ half-baked. In fact, it's never meant for anyone's use but mine I just have it on github to use as an easy backup.

https://github.com/ApproximateIdentity/vocab

Basically what I have is a open office spreadsheet that I add Czech words to and specify things like noun/adj/etc., gender, english/czech spelling, and more and then I have a tiny bit of code to generate flashcards for the Anki program to import.

https://apps.ankiweb.net/

Basically the point is just to make it a bit easier to use the flashcard program and nothing else.

https://github.com/wtpayne/xact - Model Based Systems/Software Engineering tool with support for machine learning and synthetic data.

MBSE is a vastly underappreciated technique, and one that deserves much more exposure in the mainstream tech community.

Sadly, I have found myself exceedingly disappointed at the tooling available to support MBSE, having mainly used Simulink, and also experimented with a few others like Rhapsody, Capella and EA.

Constant mouse usage with Simulink gave me really bad RSI, and merging models was a pain, due to the way that layout and structural information were mixed together in the xml-based .mdl file format.

So (naturally) I made a text-based alternative. It's a bit like TensorFlow in that you create a compute graph (computational model), and then run it.

The model itself can be generated dynamically in a script, using JQuery-like syntax to add or change nodes, or alternatively it can be stored and version controlled in one or more text files, using YAML, XML, JSON or TOML (or some mixture of those) to serialise the structure in an easy-to-diff-and-merge form.

https://github.com/wtpayne/xact