PyKnow: Expert Systems for Python
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Updated
Feb 23, 2020 - Python
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.
Knowledge representation and expert systems examples
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.
🧮 Backward chaining rule based system in Python. RPN, Tree resolver, Tree representation, logic rule system, prompt. A medium article is available in description.
Generic Expert System with a custom Knowledgebase and Clause mappings.
CLIPS Jupyter console
Sistem pakar simple dengan metode forward chaining
An expert system using knowledge graphs that aims to provide the patients with medical advice and basic knowledge on various diseases
Automatic extraction of structured labels from radiology reports. From paper Draelos et al. "Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes."
An expert system that recommend video games for you based on your preference, python project for Artificial Intelligence 2019;
A Node.js backend that exposes a Typescript implementation of the deCheem inference engine.
Infermedica medical expert system integration with voice and speech recognition libraries
smartkit.ai
Disaster Management Intelligence system
GDPR Privacy Analytics based on AI and Data Science
Conversational XAI agent
This algorithm generates an interpretable explaining ruleset based on a target Y and features X through a federated learning, where each node generates a ruleset from a single decision tree.
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