Topic: "rule-learning"
csinva/imodels
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Language: Jupyter Notebook - Size: 162 MB - Last synced at: 1 day ago - Pushed at: 2 months ago - Stars: 1,454 - Forks: 124

adaa-polsl/RuleKit
Comprehensive suite for rule-based learning
Language: Java - Size: 9.4 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 153 - Forks: 10

linkedin/TE2Rules
Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.
Language: Python - Size: 10.9 MB - Last synced at: 12 days ago - Pushed at: about 1 year ago - Stars: 55 - Forks: 6

xcsf-dev/xcsf
XCSF learning classifier system: rule-based online evolutionary machine learning
Language: C - Size: 49 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 32 - Forks: 13

rz-zhang/PRBoost
The codes for our ACL'22 paper: PRBOOST: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning.
Size: 4.88 KB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 31 - Forks: 0

mrapp-ke/Boomer 📦
A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-label Classification Rules
Size: 200 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 19 - Forks: 3

nju-websoft/RGRec
Rule-Guided Graph Neural Networks for Recommender Systems, ISWC 2020
Language: Python - Size: 60.3 MB - Last synced at: 12 months ago - Pushed at: over 4 years ago - Stars: 16 - Forks: 5

ParrotPrediction/pyalcs
Implementation of Anticipatory Learning Classifiers System (ALCS) in Python
Language: Python - Size: 13.1 MB - Last synced at: 7 days ago - Pushed at: almost 2 years ago - Stars: 10 - Forks: 16

lab-v2/PyEDCR
PyEDCR is a metacognitive neuro-symbolic method for learning error detection and correction rules in deployed ML models using combinatorial sub-modular set optimization
Language: Python - Size: 16.2 GB - Last synced at: 23 days ago - Pushed at: 3 months ago - Stars: 4 - Forks: 1

vqphuynh/LORD
A Java implementation for LORD, a rule learning algorithm proposed in the article "Efficient learning of large sets of locally optimal classification rules" with the approach of searching for a locally optimal rule for each training example. Machine Learning, volume 112, pages 571–610 (2023)
Language: Java - Size: 34.8 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

groshanlal/NN2Rules
Explain fully connected ReLU neural networks using rules
Language: Python - Size: 66.4 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

mrapp-ke/MLRL-Boomer
A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-Output Rules
Language: C++ - Size: 311 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0

mrapp-ke/Boomer-Doc 📦
Documentation of the BOOMER machine learning algorithm.
Size: 16.4 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

martinsvat/Pruning-Hypotheses
Implementation of pruning hypothesis space using domain theories -- M. Svatoš, G. Šourek, F. Zeležný, S. Schockaert, and O. Kuželka: Pruning Hypothesis Spaces Using Learned Domain Theories, ILP'17
Language: Java - Size: 22.7 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

martinsvat/STRiKE
Implementation of a learning and fragment-based rule inference engine -- M. Svatoš, S. Schockaert, J. Davis, and O. Kuželka: STRiKE: Rule-driven relational learning using stratified k-entailment, ECAI'20
Language: Java - Size: 310 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

mrapp-ke/SyndromeLearner
A rule learning algorithm for the deduction of syndrome definitions from time series data.
Language: C++ - Size: 164 KB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1
