PyTorch implementation for the Neuro-Symbolic Concept Learner (NS-CL).
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Oct 24, 2020 - Python
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concept-learning
Here are 14 public repositories matching this topic...
OWL Class Expressions Learning in Python
machine-learning semantic-web owl ontology knowledge-base web-ontology-language description-logics owl2 concept-learning
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Nov 20, 2025 - Python
[npj Digital Medicine'24] Aligning Knowledge Concepts to Whole Slide Images for Precise Histopathology Image Analysis
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Jan 7, 2025 - Python
[AAAI 2024] ConceptBed Evaluations for Personalized Text-to-Image Diffusion Models
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Jun 1, 2023 - Python
[ICLR 2025 Spotlight] This is the official repository for our paper: ''Enhancing Pre-trained Representation Classifiability can Boost its Interpretability''.
concept interpretability explainable-ai concept-learning interpretable-machine-learning concept-bottleneck-models
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Apr 26, 2025 - Python
The Codebase for Causal Proxy Model
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Sep 29, 2022 - Python
[MICCAI 2025 Young Scientist Award] Official implementation of "Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification"
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Aug 29, 2025 - Python
Learning to Infer Generative Template Programs for Visual Concepts -- ICML 2024
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Feb 6, 2025 - Python
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.
semantic-web ontology sampling knowledge-base sampling-methods owl2 concept-learning owl2-ontologies learning-problem ontology-reasoning sampling-techniques ontology-sampling
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Jan 5, 2025 - Python
Implementation of FCA and Orcale-Learning for learning implication bases
formal-concept-analysis fca concept-learning query-learning oracle-learning learning-implication-bases
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Apr 1, 2018 - Python
EDGE, "Evaluation of Diverse Knowledge Graph Explanations", is a framework to benchmark diverse explanations (e.g., subgraph vs logical) for node classification in knowledge graphs.
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Sep 19, 2024 - Python
Machine Learning Lab Programs in the curriculum
machine-learning-algorithms bayesian-network naive-bayes-classifier data-preparation svm-classifier decision-tree-algorithm knn-classification random-forest-classifier concept-learning
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Aug 24, 2024 - Python
My Concept Learning algorithms implementation.
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Nov 21, 2020 - Python
Neuro-symbolic (NeSy) AI improves deep learning by integrating reasoning, prior knowledge, and constraints, making it in theory ideal for high-stakes applications. However, this promise depends on learning high-quality abstractions, which is challenging due to potential reasoning shortcuts. This project explores this problem in depth.
explainable-ai concept-learning neuro-symbolic-ai reasoning-shortcuts deepproblog mnist-addition distributed-alignment-search causal-abstraction
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Sep 15, 2025 - Python
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