kernel-methods topic
polatory
Fast radial basis function interpolation for large scale data
KPCAMNet
[IEEE TCYB 2021] Unsupervised Change Detection in Multitemporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network
prototype-quantum-kernel-training
Toolkit for training quantum kernels in machine learning applications
subgraph2vec_gensim
Contains the code (and working vm setup) for our KDD MLG 2016 paper titled: "subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs"
subgraph2vec_tf
This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper
localreg
Multivariate Local Polynomial Regression and Radial Basis Function Regression
CovarianceFunctions.jl
Lazy, structured, and efficient operations with kernel matrices.
CodMWKernelInjector
Undetected Call of duty: MW, Warzone kernel injector.
operalib
Learning with operator-valued kernels
grail-python
"GRAIL: Efficient Time-Series Representation Learning"