Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
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Updated
Aug 17, 2022 - Python
Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
CME: Concept-based Model Extraction
Explain complex concepts using LLMs (OpenAI/Ollama) - an educational tool for concept explanation, technical documentation, and knowledge sharing. Built during the early LLM boom (2023), updated with local model support (2025).
Concept Generator utilizes ChatGPT 3.5 to generate multifaceted data about concepts, which are fundamental building blocks in thinking. The project yields three types of data: Relational, Comparative, and Descriptive. It's designed for learners, educators, researchers, and anyone curious about the intricacies of human thought.
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