A collection of important graph embedding, classification and representa...
Learning kernels to maximize the power of MMD tests
Scala Library/REPL for Machine Learning Research
Official pytorch implementation of the paper "Bayesian Meta-Learning for...
Fast radial basis function interpolation for large scale data
A package for Multiple Kernel Learning in Python
A python package for graph kernels, graph edit distances, and graph pre-...
ML4Chem: Machine Learning for Chemistry and Materials
A Matlab benchmarking toolbox for kernel adaptive filtering
Code for "Differentiable Compositional Kernel Learning for Gaussian Proc...
NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of...
NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.
[IEEE TCYB 2021] Official Python implementation for Unsupervised Change ...
SPLASH is an interactive visualisation and plotting tool using kernel in...