Implementations of 3 linear and non-linear dimensionality reduction algorithms
-
Updated
Jan 12, 2021 - Python
Implementations of 3 linear and non-linear dimensionality reduction algorithms
an R package implementing the filtering algorithms for the state-space models on the Stiefel manifold
exploiting the geometry of the Stiefel manifold to generate random polygons and more
Autograd compatible Givens Transforms which is especially useful for optimization on a Stiefel Manifold.
Matlab code for "Tree-structured quantization on Grassmann and Stiefel manifold", S. Schwarz et al., DCC 2021
Add a description, image, and links to the stiefel-manifold topic page so that developers can more easily learn about it.
To associate your repository with the stiefel-manifold topic, visit your repo's landing page and select "manage topics."