There are 2 repositories under concept-learning topic.
PyTorch implementation for the Neuro-Symbolic Concept Learner (NS-CL).
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
Ontolearn is an open-source software library for explainable structured machine learning in Python. It learns OWL class expressions from positive and negative examples.
ConceptBed Evaluations for Personalized Text-to-Image Diffusion Models
A novel approach to learning concept embeddings and approximate reasoning in ALC knowledge bases with deep neural networks
The Codebase for Causal Proxy Model
Official implementation of ICLR 2023 paper "A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics"
Implementation of FCA and Orcale-Learning for learning implication bases
Library for hierarchical concept composition and reasoning
EvoLearner: Learning Description Logics with Evolutionary Algorithms
My Concept Learning algorithms implementation.
Concept length prediction for the ALC description logic.
OWL explainable structural learning problem Benchmark Generator
Some of the most popular Machine Learning Concepts.
CSC3022H: Machine Learning Lab 2: Concept Learning
Implement Find-S algorithm which is used in concept learning