Comprehensive suite for rule-based learning
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Updated
Jun 16, 2025 - 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.
A React and a React Native app that consumes the Morpher API
Spring Boot based web API for consuming Morpher services
LEM2 rule induction algorithm.
An implementation of the 1R rule learner in Rust
RapidMiner-DataMinig- Decision Tree /Naive Bayes/Rule Induction
An implementation of MLEM2 rule induction algorithm.
CSE 546 Machine Learning Class @ UW
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