entropic-regularization

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kuslavicek / ballot

High-performance Python package for balanced k-means clustering using optimal transport and entropic regularization

python machine-learning scikit-learn k-means optimal-transport sinkhorn-algorithm balanced-clustering entropic-regularization

Updated Apr 19, 2026
Python

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 Jul 18, 2026
Python

arclabs561 / wass

Star

Optimal transport distances

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

Updated Jul 14, 2026
Rust

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entropic-regularization

Here are 3 public repositories matching this topic...

kuslavicek / ballot

sandyherho / anyakrakusuma

arclabs561 / wass

Add this topic to your repo