Systematically learn and evaluate manifolds from high-dimensional data
-
Updated
Jul 6, 2023 - Python
Systematically learn and evaluate manifolds from high-dimensional data
Official implementation of the ACL 2024: Scientific Inspiration Machines Optimized for Novelty
AGATHA: Automatic Graph-mining And Transformer based Hypothesis generation Approach
This is the official repository for HypoGeniC (Hypothesis Generation in Context), which is an automated, data-driven tool that leverages large language models to generate hypothesis for open-domain research. For more details, please see the original paper using the link below.
A Python library for creating and exploring structured review articles.
Add a description, image, and links to the hypothesis-generation topic page so that developers can more easily learn about it.
To associate your repository with the hypothesis-generation topic, visit your repo's landing page and select "manage topics."