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.
Neuro-Symbolic AI with Knowledge Graph | "True Reasoning" through data and logic 🌿🌱🐋🌍
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.
Spring AI powered expert system demo
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.
DIAGNOSA TINGKAT DEPRESI MAHASISWA TINGKAT AKHIR DENGAN METODE CERTAINTY FACTOR DAN FORWARD CHAINING
Knowledge representation and expert systems examples
debugging biological networks to reach coherence, completeness and consistency
C# implementation of an expert system shell
Expert Systems Guide
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 bridge between a machine and a human expert (MVP expert system in Elixir)
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!
An open-source expert system for automated end-to-end objective-driven performance testing and performance insights.
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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