PyTorch implementation for the Neuro-Symbolic Concept Learner (NS-CL).
-
Updated
Oct 24, 2020 - Python
PyTorch implementation for the Neuro-Symbolic Concept Learner (NS-CL).
Ontolearn is an open-source software library for explainable structured machine learning in Python. It learns OWL class expressions from positive and negative examples.
[AAAI 2024] ConceptBed Evaluations for Personalized Text-to-Image Diffusion Models
The Codebase for Causal Proxy Model
Implementation of FCA and Orcale-Learning for learning implication bases
OntoSample is a python package that offers classic sampling techniques for OWL ontologies/knowledge bases. Furthermore, we have tailored the classic sampling techniques to the setting of concept learning making use of learning problem.
My Concept Learning algorithms implementation.
Concept length prediction for the ALC description logic.
Learning to Infer Generative Template Programs for Visual Concepts -- ICML 2024
Add a description, image, and links to the concept-learning topic page so that developers can more easily learn about it.
To associate your repository with the concept-learning topic, visit your repo's landing page and select "manage topics."