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.
Reasoning Engine for Neuro-Symbolic AI
PyKnow: Expert Systems for Python
Python CFFI bindings for the 'C' Language Integrated Production System CLIPS
Qutuf (قُطُوْف): An Arabic Morphological analyzer and Part-Of-Speech tagger as an Expert System.
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
DIAGNOSA TINGKAT DEPRESI MAHASISWA TINGKAT AKHIR DENGAN METODE CERTAINTY FACTOR DAN FORWARD CHAINING
debugging biological networks to reach coherence, completeness and consistency
C# implementation of an expert system shell
This is a rule-based logic system that uses forward- and backward-chaining algorithms to do two things: 1.) learn new rules and variable values based on those previously learned by the system, and 2.) explain its reasoning back to the user.
NephroDoctor: A simple Medical Expert System written in Prolog
🧮 Backward chaining rule based system in Python. RPN, Tree resolver, Tree representation, logic rule system, prompt. A medium article is available in description.
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!
Chatbot implemented as expert system to recommend fiction to the casual reader, written as set of rules in LISP variant
An open-source expert system for automated end-to-end objective-driven performance testing and performance insights.
A bridge between a machine and a human expert (MVP expert system in Elixir)
Expert Systems Guide
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.
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