kernel-methods topic

Fast Random Kernelized Features: Support Vector Machine Classification for High-Dimensional IDC Dataset

qw3rtman

Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326

ssydasheng

A collection of important graph embedding, classification and representation learning papers with implementations.

benedekrozemberczki

Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

BayesWatch

Scala Library/REPL for Machine Learning Research

tailhq

Learning kernels to maximize the power of MMD tests

djsutherland

Large-scale, multi-GPU capable, kernel solver

FalkonML

A package for Multiple Kernel Learning in Python

IvanoLauriola

ML4Chem: Machine Learning for Chemistry and Materials

muammar

A Matlab benchmarking toolbox for kernel adaptive filtering

steven2358