Tools for Formal Concept Analysis
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Updated
Jan 30, 2026 - R
Tools for Formal Concept Analysis
Persistent memory for agents
BioTextQuest in R & Shiny
ConceptNet MCP Server (Semantic Knowledge for LLMs)
The AI Examiner System you've described is clearly centered on leveraging the reasoning and structured output capabilities of Large Language Models (LLMs) for a robust academic assessment tool.
A plugin that automatically analyzes note content to discover hidden connections between ideas using natural language processing. Enhance your knowledge management by finding conceptual relationships across your notes without manual linking.
Concept Explorer is an educational web app designed to make exploring concepts as exciting as exploring the physical world. It uses AI-powered data generated by the Concept Generator project to provide engaging and interactive concept exploration.
Web Of Things Ontology Inspection
Code for the paper: Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. ECCV 2024.
[ECCV 2024 Oral] ConceptExpress: Harnessing Diffusion Models for Single-image Unsupervised Concept Extraction
System for Medical Concept Extraction and Linking
Retrospective Extraction of Visual and Logical Insights for Ontology-based interpretation of Neural Networks
Explainability of Deep Learning Models
REST-API for LearningMiner.
CoCo-Ex extracts meaningful concepts from natural language texts and maps them to conjunct concept nodes in ConceptNet, utilizing the maximum of relational information stored in the ConceptNet knowledge graph.
CoCo-Ex extracts meaningful concepts from natural language texts and maps them to conjunct concept nodes in ConceptNet, utilizing the maximum of relational information stored in the ConceptNet knowledge graph.
Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
The replication package of STRICT: Search Term Identification for Concept Location using Graph-Based Term Weighting
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