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
MEME: Generating RNN Model Explanations via Model Extraction
CME: Concept-based Model Extraction
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.
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.
Add a description, image, and links to the concept-explanation topic page so that developers can more easily learn about it.
To associate your repository with the concept-explanation topic, visit your repo's landing page and select "manage topics."