BoostSRL: “Boosting for Statistical Relational Learning”
BoostSRL (Boosting for Statistical Relational Models) is a gradient-boosting based approach to learning different types of SRL models. Download v1.1.1 jar ...
Software
rfgb.py
A Python package and tool for learning statistical relational models via gradient boosting.This open source project is in early Alpha: feedback, bug reports,...
rnlp
Relational-NLP: Convert text into relational facts for building text classification pipelines. View Source Stable Docs (v0.3.1) Latest Docs Bug Tracker an...
Walk-ER
A system for defining background knowledge in the form of an Entity-Relational Diagrams and converting it into a BoostSRL modes file.
BoostSRL: Python Wrappers
A Python wrapper for BoostSRL to help automate learning/inference tasks.
JA-Walk-ER
Just-another Walk-ER with a GUI. Docs View Source
KiGB
Knowledge-intensive Gradient Boosting : A unified framework for gradient boosted decision trees from knowledge and data. View Source Blog Paper Poster