Matlab and Python code to compute perturbed topological signatures (PTS), an efficient topological representation that lies on the Grassmann manifold.

Official repository for ICCV 2023: Get the Best of Both Worlds: Improving Accuracy and Transferability by Grassmann Class

A source code for the paper titled "Global Sensitivity Analysis using Polynomial Chaos Expansion on the Grassmann Manifold".

Subspace Mean and Median Evaluation Toolkit (SuMMET)

GitHub repository for ”Learning a Discriminative Grassmannian Neural Network for Visual Classification“

A source code for the paper titled "Trajectory-based Global Sensitivity Analysis in Multiscale Models".

Deterministic local layer for permission, entitlement, route, and data-boundary sitting over Playwright, with Grassmann attention, and LLM-generated scenario-proposal workflows gated by a finite-state verifier.

Conceptual path finding in high-dimensional embedding space via Grassmann manifold geometry. Replaces cosine similarity with tangent space distance — paths follow domain-coherent lanes instead of converging to vocabulary hubs. GPU-accelerated Julia compute worker

Grassmannian minimum enclosing ball

This repository documents a seven-round investigation into whether alternative computational geometries can improve upon the standard dot-product attention mechanism used in transformer language models.

Patient subgrouping with distinct survival rates via integration of multiomics data on a Grassmann manifold

Pure Python Grassmann Flow language model (~130 lines, no dependencies) — "Attention Is Not What You Need" (arXiv:2512.19428) in microGPT style