DevOps methodology & roadmap for a devops developer in 2019. Interesting books to learn new technologies.
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Updated
Nov 16, 2020
DevOps methodology & roadmap for a devops developer in 2019. Interesting books to learn new technologies.
PyKnow: Expert Systems for Python
Spring AI powered expert system demo
Python CFFI bindings for the 'C' Language Integrated Production System CLIPS
🌟1000+ Expert AI Skills | CEO, Doctor, Engineer, Scientist & more | Transform AI into any professional | Powered by https://theneoai.github.io/skill-writer/
Qutuf (قُطُوْف): An Arabic Morphological analyzer and Part-Of-Speech tagger as an Expert System.
DIAGNOSA TINGKAT DEPRESI MAHASISWA TINGKAT AKHIR DENGAN METODE CERTAINTY FACTOR DAN FORWARD CHAINING
An expert system using logic-based artificial intelligence and symbolic AI.
Probabilistic question-asking system: the program asks, the users answer. The minimal goal of the program is to identify what the user needs (a target), even if the user is not aware of the existence of such a thing/product/service.
Knowledge representation and expert systems examples
Expert Systems Guide
debugging biological networks to reach coherence, completeness and consistency
C# implementation of an expert system shell
NephroDoctor: A simple Medical Expert System written in Prolog
A bridge between a machine and a human expert (MVP expert system in Elixir)
An open-source expert system for automated end-to-end objective-driven performance testing and performance insights.
A scalable, customisable yet simple chatbot built entirely from scratch in C++. The chatbot's domain of expertise can be completely chosen by you. Now, with plugins!
🧙 Grimoire is a skills package manager for AI agents and best practices — 1000+ skills across 26 domains (engineering, law, finance, design, health, and more), each sourced from a real institution or study. Install once, and your AI routes to the right skill automatically.
Film expert system based on logic rules. Created at the Univeristy as the project within Declarative Programming classes in 2015. The purpose of this project was to creat expert system in Prolog and improve understanding of declarative programming paradigm.
Expert system with deductive querying and verification of constraints expressed in natural language
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