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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".
Pure Python Grassmann Flow language model (~130 lines, no dependencies) — "Attention Is Not What You Need" (arXiv:2512.19428) in microGPT style
Grassmannian minimum enclosing ball
Patient subgrouping with distinct survival rates via integration of multiomics data on a Grassmann manifold
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