entropic-regularization

Here are 2 public repositories matching this topic...

sandyherho / anyakrakusuma

anyakrakusuma is a high-performance Python solver for the 2D Schrödinger Bridge Problem via Entropic Optimal Transport (EOT), utilizing the log-domain Sinkhorn-Knopp algorithm and Numba acceleration for robust stochastic process interpolation.

computational-physics stochastic-processes optimal-transport diffusion-models sinkhorn-algorithm generative-modeling schrodinger-bridge entropic-regularization

Updated Jan 18, 2026
Python

arclabs561 / wass

Star

Optimal transport primitives: Wasserstein distance, Sinkhorn algorithm, and Sinkhorn divergences (balanced + unbalanced).

rust optimal-transport wasserstein-distance sinkhorn-algorithm unbalanced-optimal-transport sinkhorn-divergence distribution-comparison entropic-regularization

Updated Jan 27, 2026
Rust

Improve this page

Add a description, image, and links to the entropic-regularization topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the entropic-regularization topic, visit your repo's landing page and select "manage topics."

Learn more

Provide feedback

Saved searches

Use saved searches to filter your results more quickly