| Name | Version | Summary | date |
| rkhs |
0.0.1 |
A unified framework for marginal and conditional two-sample testing with kernels in JAX. |
2025-08-27 11:07:06 |
| GPy |
1.13.2 |
The Gaussian Process Toolbox |
2024-07-23 06:30:27 |
| pykeops |
2.2.3 |
Python bindings of KeOps: KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows |
2024-04-14 08:22:17 |
| keopscore |
2.2.3 |
keopscore is the KeOps meta programming engine. This python module should be used through a binder (e.g. pykeops or rkeops) |
2024-04-14 08:22:10 |
| gpflow |
2.9.1 |
Gaussian process methods in TensorFlow |
2024-02-07 15:19:46 |
| gauche |
0.1.6 |
Gaussian Process Library for Molecules, Chemical Reactions and Proteins. |
2023-12-11 00:36:18 |
| sigkerax |
0.2.1 |
Signature kernel computations via PDE solvers in JAX |
2023-10-06 08:00:41 |
| geomloss |
0.2.5 |
Geometric loss functions between point clouds, images and volumes. |
2022-03-29 16:12:21 |