xact
jarvis
xact | jarvis | |
---|---|---|
2 | 1 | |
1 | 22 | |
- | - | |
0.0 | 0.0 | |
almost 3 years ago | over 2 years ago | |
Python | C++ | |
GNU Affero General Public License v3.0 | Mozilla Public License 2.0 |
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xact
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Ask HN: Show me your Half Baked project
https://github.com/wtpayne/xact - Model Based Systems/Software Engineering tool with support for machine learning and synthetic data.
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Ask HN: Does Your Company Practice Model Based Systems Engineering? (MBSE)
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
jarvis
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Ask HN: Show me your Half Baked project
A personal assistant for the desktop computer called Deus. Cross-platforn and open source here: https://github.com/nuttyartist/deus, https://awesomenessnotes.wixsite.com/website-5 (didn't update it for a long time)
Code is in C++ using Qt. Uses Porcupine for wake-up-word detection and Google API's for speech-to-text and text-to-speech.
It can play music, move your windows, you can shout google searches at it, tell it open Gmail, take screenshots, etc.
After launching it I found people didn't find it useful, including myself, after some time. Still, I open sourced it in case somebody will find it interesting. I loved developing the NLP engine part using tree structure to load the database and travel on it to find the most suitable command based on the user input.
Moved on to the next idea (:
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