Comprehensive suite for rule-based learning
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Updated
Jul 6, 2026 - Java
Comprehensive suite for rule-based learning
(Explainable AI) - Learning Non-Monotonic Logic Programs From Statistical Models Using High-Utility Itemset Mining
A small demo Python implementation of some (fuzzy) roughset algorithms such as LEM2
Morpher is a general purpose, modular framework for inflection generation and morphological analysis.
CSE 546 Machine Learning Class @ UW
Spring Boot based web API for consuming Morpher services
LEM2 rule induction algorithm.
A React and a React Native app that consumes the Morpher API
An implementation of MLEM2 rule induction algorithm.
An implementation of the 1R rule learner in Rust
RapidMiner-DataMinig- Decision Tree /Naive Bayes/Rule Induction
PROBE: A Hypothesis Driven Agent Architecture for Novel Environment Adaptation
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