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Kernel Methods
39 Open Source Kernel Methods Software Projects
Free and open source kernel methods code projects including engines, APIs, generators, and tools.
Awesome Graph Classification
4337 ⭐
A collection of important graph embedding, classification and representation learning papers with implementations.
Dynaml
199 ⭐
Scala Library/REPL for Machine Learning Research
Opt Mmd
190 ⭐
Learning kernels to maximize the power of MMD tests
Mklpy
96 ⭐
A package for Multiple Kernel Learning in Python
Neural Kernel Network
66 ⭐
Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326
Kernel Gof
63 ⭐
NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.
Kafbox
66 ⭐
A Matlab benchmarking toolbox for kernel adaptive filtering
Deep Kernel Transfer
142 ⭐
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
Kelp Full
52 ⭐
Interpretable Test
53 ⭐
NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.
Graphkit Learn
72 ⭐
A python package for graph kernels, graph edit distances, and graph pre-image problem.
Ml4chem
76 ⭐
ML4Chem: Machine Learning for Chemistry and Materials
Subgraph2vec_gensim
40 ⭐
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"
Kmbox
39 ⭐
Kernel Methods Toolbox for Matlab/Octave
Frp
38 ⭐
FRP: Fast Random Projections
Dspkm
32 ⭐
This is the page for the book Digital Signal Processing with Kernel Methods.
Kernelmethods
37 ⭐
Foundational library for Kernel methods in pattern analysis and machine learning
Ipynotebook_machinelearning
28 ⭐
This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.
Subgraph2vec_tf
26 ⭐
This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper
Kernel Mod
17 ⭐
NeurIPS 2018. Linear-time model comparison tests.
Cadgan
21 ⭐
ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.
Igms
15 ⭐
Implicit generative models and related stuff based on the MMD, in PyTorch
Kernel Ep
14 ⭐
UAI 2015. Kernel-based just-in-time learning for expectation propagation
Supervised Random Projections
19 ⭐
Python implementation of supervised PCA, supervised random projections, and their kernel counterparts.
SVGd
21 ⭐
PyTorch implementation of Stein Variational Gradient Descent
Operalib
14 ⭐
Learning with operator-valued kernels
Fsic Test
14 ⭐
ICML 2017. Kernel-based adaptive linear-time independence test.
Kelp Input Generator
12 ⭐
Utility project to generate KeLP compliant representations
Falkon
114 ⭐
Large-scale, multi-GPU capable, kernel solver
Kernelknn
14 ⭐
Kernel k Nearest Neighbors in R
Machine Learning Summer Schools
13 ⭐
Curated materials for different machine learning related summer schools
Kpca Denoising Python
13 ⭐
Reproduction of the experiments presented in Kernel PCA and De-noising in Feature Spaces, as a project in DD2434 Machine Learning Advance Course during Winter 2016
Quffka
13 ⭐
Quadrature-based features for kernel approximation
Kernel Adaptive Filtering In Python
29 ⭐
Implementation of LMS, RLS, KLMS and KRLS filters in Python
Danieljprice Splash
31 ⭐
SPLASH is an interactive visualisation and plotting tool using kernel interpolation, mainly used for Smoothed Particle Hydrodynamics simulations
Kpcamnet
33 ⭐
[TCYB 2021] Official Python implementation for Unsupervised Change Detection in Multitemporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network
Localreg
13 ⭐
Multivariate Local Polynomial Regression
Hotstepper
11 ⭐
A Numpy based step function library for analysis and profit. More than just taking you up and down.
Mklmm
10 ⭐
Multi Kernel Linear Mixed Models for Complex Phenotype Prediction