concept-learning
There are 25 repositories under concept-learning topic.
vacancy/NSCL-PyTorch-Release
PyTorch implementation for the Neuro-Symbolic Concept Learner (NS-CL).
dice-group/Ontolearn
OWL Class Expressions Learning in Python
snap-stanford/zeroc
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
ConceptBed/evaluations
[AAAI 2024] ConceptBed Evaluations for Personalized Text-to-Image Diffusion Models
maxadamski/reasonable-embeddings
A novel approach to learning concept embeddings and approximate reasoning in ALC knowledge bases with deep neural networks
frankaging/Causal-Proxy-Model
The Codebase for Causal Proxy Model
rkjones4/TemplatePrograms
Learning to Infer Generative Template Programs for Visual Concepts -- ICML 2024
liqing-ustc/HINT
Official implementation of ICLR 2023 paper "A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics"
Demfier/Concept-Learning
Implementation of FCA and Orcale-Learning for learning implication bases
tailintalent/concept_library
Library for hierarchical concept composition and reasoning
alkidbaci/OntoSample
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.
dice-group/EvoLearner
EvoLearner: Learning Description Logics with Evolutionary Algorithms
ds-jrg/EDGE
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.
shettyvarshaa/ML-LAB
Machine Learning Lab Programs in the curriculum
AnuragAnalog/concept-learning
My Concept Learning algorithms implementation.
dice-group/LearnALCLengths
Concept length prediction for the ALC description logic.
dice-group/LPBenchGen
OWL explainable structural learning problem Benchmark Generator
Shreyash017/Fundamentals-Of-Machine-Learning
Some of the most popular Machine Learning Concepts.
sumony2j/Find-S_Algorithm
Implement Find-S algorithm which is used in concept learning
dob9601/ccelm
A concurrent implementation of the candidate elimination algorithm.
jkovinsky/concept-learner
Bayesian framework for concept learning
NtateLephadi/ML_LAB_2
CSC3022H: Machine Learning Lab 2: Concept Learning