kernel-methods topic

A python package for graph kernels, graph edit distances, and graph pre-image problem.

jajupmochi

NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.

wittawatj

NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.

wittawatj

SAG-KeLP

Kernel k Nearest Neighbors in R

mlampros

PyTorch implementation of Stein Variational Gradient Descent

activatedgeek

SPLASH is an interactive visualisation and plotting tool using kernel interpolation, mainly used for Smoothed Particle Hydrodynamics simulations

danieljprice

ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.

wittawatj

ICML 2017. Kernel-based adaptive linear-time independence test.

wittawatj

UAI 2015. Kernel-based just-in-time learning for expectation propagation

wittawatj