Software library
SDot
A library for semi-discrete optimal transport
- Computes semi-discrete Optimal Transport between discrete measures and continuous densities.
- Includes power diagrams and distributions such as images, Gaussian mixtures, meshes and polytopes.
- Supports NumPy, JAX, PyTorch and CuPy, with CPU and GPU backends.
Examples
Browse all examplesExplore features and applications of semi-discrete optimal transport through the SDot examples gallery.