SimplE Embedding for Link Prediction in Knowledge Graphs
☕ A Python library for gradient-boosted statistical relational models / learning probabilistic relational programs.
Lernd is ∂ILP (dILP) framework implementation based on Deepmind's paper Learning Explanatory Rules from Noisy Data.
Relational machine learning library for scalable learning / inference on social networks
⚡ SRLBoost: BoostSRL but ¼ the size and twice the speed. Refactor for srlearn's core.
A probabilistic version of the Event Calculus logic programming engine, developed during my time at NCSR "Demokritos", Athens, Greece.
Python package for fetching and using srlearn-compatible relational datasets.
🐍🚧 Experimental tool for SRL learning in Python. For something more stable, see: https://github.com/srlearn/srlearn
StarAI Workshop 2020 - srlearn: A Python Library for Gradient-Boosted Statistical Relational Models
srlearn-compatible relational datasets
GSoC 2018: Markov Logic Networks in Cython
Julia package for fetching and using srlearn-compatible relational datasets.
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