rule-learning topic

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

csinva

Comprehensive suite for rule-based learning

adaa-polsl

The codes for our ACL'22 paper: PRBOOST: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning.

rz-zhang

Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.

linkedin

A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-label Classification Rules

mrapp-ke

Rule-Guided Graph Neural Networks for Recommender Systems, ISWC 2020

nju-websoft