Benchmark and training code for MindCube: spatial mental modeling in vision-language models from limited views.
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Updated
Aug 23, 2026 - Python
Benchmark and training code for MindCube: spatial mental modeling in vision-language models from limited views.
A Python package for extracting the Computational Image of the City from geospatial datasets
Python implementation of the Linear Reinforcement Learning model introduced by Piray and Daw (2021)
An interactive, bilingual cognitive map of the path from generative AI to physical AI—through sensing, control, safety, and unresolved boundaries.
Cognitive map for predicting univariate time-series using ADAM optimization. Coded from scratch without any help of machine learning libraries.
Open-source code repository where reinforcement learning agents solve grid-maze environment and represent learning process as a graph learning.
Project page for MindCube: can VLMs build spatial mental models of unseen space from limited views? (arXiv 2506.21458)
Cognitive maps as excel files
A toolset for evaluating the results and impacts of an educational event, employing cognitive maps as a model for representing cognitive structures or knowledge.
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