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 28 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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Apr 14, 2025 - Python
ZeroC is a neuro-symbolic method that trained with elementary visual concepts and relations, can zero-shot recognize and acquire more complex, hierarchical concepts, even across domains
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May 8, 2023 - Jupyter Notebook
[AAAI 2024] ConceptBed Evaluations for Personalized Text-to-Image Diffusion Models
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Jun 1, 2023 - 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
A novel approach to learning concept embeddings and approximate reasoning in ALC knowledge bases with neural networks
machine-learning deep-learning transfer-learning description-logics automated-reasoning concept-learning neuro-symbolic-learning
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Feb 7, 2023 - Jupyter Notebook
The Codebase for Causal Proxy Model
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Sep 29, 2022 - Python
Learning to Infer Generative Template Programs for Visual Concepts -- ICML 2024
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Feb 6, 2025 - Python
Official implementation of ICLR 2023 paper "A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics"
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May 16, 2023 - Jupyter Notebook
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
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
Library for hierarchical concept composition and reasoning
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Mar 13, 2023 - Jupyter Notebook
EvoLearner: Learning Description Logics with Evolutionary Algorithms
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Jul 7, 2023 - Prolog
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
Implement Find-S algorithm which is used in concept learning
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Apr 14, 2024 - Jupyter Notebook
Concept length prediction for the ALC description logic.
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Feb 12, 2025 - Jupyter Notebook
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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Apr 13, 2025 - Python
Some of the most popular Machine Learning Concepts.
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Oct 7, 2022 - Jupyter Notebook
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