kernel-methods

There are 9 repositories under kernel-methods topic.

awesome-graph-classification
benedekrozemberczki / awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
graph2vec classification-algorithm graph-kernels weisfeiler-lehman kernel-methods deep-graph-kernels netlsd graph-attention-model graph-attention-networks structural-attention attention-mechanism graph-kernel node2vec graph-embedding network-embedding node-embedding graph-representation-learning deepwalk graph-convolutional-networks graph-classification
Language:Python 4798
djsutherland / opt-mmd
Learning kernels to maximize the power of MMD tests
machine-learning hypothesis-testing generative-adversarial-network maximum-mean-discrepancy shogun theano tensorflow python kernel-methods statistical-tests
Language:Python 211
BayesWatch / deep-kernel-transfer
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
gaussian-processes few-shot-learning bayesian-methods deep-learning deep-kernel-learning one-shot-learning kernel-methods classification regression gpytorch kernel shot-learning uncertainty-quantification uncertainty paper meta-learning kernels
Language:Python 205
tailhq / DynaML
Scala Library/REPL for Machine Learning Research
machine-learning scala regression repl committee-models classification gaussian-processes scala-library machine-learning-api machine-learning-algorithms kernel-methods tensorflow
Language:Scala 199
FalkonML / falkon
Large-scale, multi-GPU capable, kernel solver
kernel-methods machine-learning large-scale-learning kernel pytorch ai python
Language:Python 191
polatory / polatory
Fast radial basis function interpolation and kriging for large scale data
interpolation surface-reconstruction kriging rbf spline regression radial-basis-function cpp approximation function-approximation splines smoothing geostatistics surface-modeling kernel-methods python astronomy astrophysics geology geophysics
Language:C++ 181
jbramburger / DataDrivenDynSyst
Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
data-science dynamical-systems dynamic-mode-decomposition physics-informed-neural-networks machine-learning sindy-algorithm sindy autoencoder-neural-network autoencoder autoencoders conservation-laws extended-dynamic-mode-decomposition poincare-map stroboscopic-map time-delay forecasting kernel-methods neural-network universal-approximation-theorem physics-informed-learning
Language:Jupyter Notebook 148
IvanoLauriola / MKLpy
A package for Multiple Kernel Learning in Python
kernel-methods representation-learning multiple-kernel-learning boolean-kernel mkl string-kernel
Language:Python 131
jajupmochi / graphkit-learn
A python package for graph kernels, graph edit distances, and graph pre-image problem.
graph-kernels walks paths kernel-methods graph-representations pattern-recognition machine-learning chemoinformatics pre-image graph-edit-distance
Language:Jupyter Notebook 128
muammar / ml4chem
ML4Chem: Machine Learning for Chemistry and Materials
machine-learning chemistry physics materials-science kernel-methods deeplearning kernel
Language:Python 100
steven2358 / kafbox
A Matlab benchmarking toolbox for kernel adaptive filtering
kernel-adaptive-filtering matlab signal-processing kernel-methods
Language:MATLAB 98
ChenHongruixuan / KPCAMNet
[IEEE TCYB 2021] Unsupervised Change Detection in Multitemporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network
change-detection deep-learning python remote-sensing kpca kernel-methods kpca-convolution vhr-images unsupervised-learning convolutional-neural-networks
Language:Python 72
ssydasheng / Neural-Kernel-Network
Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326
extrapolation gaussian-processes kernel-methods machine-learning
Language:Python 71
wittawatj / kernel-gof
NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.
goodness-of-fit kernel-methods machine-learning python statistical-tests
Language:Python 67
danieljprice / splash
SPLASH is an interactive visualisation and plotting tool using kernel interpolation, mainly used for Smoothed Particle Hydrodynamics simulations
astronomy astrophysics fits interpolation-methods kernel-methods plotting smoothed-particle-hydrodynamics visualisation
Language:Fortran 65
wittawatj / interpretable-test
NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.
kernel-methods machine-learning python statistical-tests
Language:OpenEdge ABL 64
SAG-KeLP / kelp-full
machine-learning kernel-methods kernel-functions batch-learning online-learning tree-kernel clustering-algorithm
Language:Java 52
steven2358 / kmbox
Kernel Methods Toolbox for Matlab/Octave
kernel-methods signal-processing matlab
Language:MATLAB 52
ninja3697 / Kernel-Adaptive-Filtering-in-Python
Implementation of LMS, RLS, KLMS and KRLS filters in Python
adaptive-filters filters jupyter-notebook kernel-filters kernel-methods machine-learning signal-processing
Language:Jupyter Notebook 51
sigvaldm / localreg
Multivariate Local Polynomial Regression and Radial Basis Function Regression
regression loess lowess radial-basis-function non-parametric kernel-methods multivariate
Language:Python 51
paulveillard / cybersecurity-windows-exploitation
A collection of awesome software, libraries, learning tutorials, documents and books, awesome resources and cool stuff about ARM and Windows Exploitation.
arm64 arm-templates windows-exploitation executable windows windows-security cybersecurity-search-engine exploitation-framework kernel-module kernel-methods x86 x86-kernel
49
DSPKM / DSPKM
This is the page for the book Digital Signal Processing with Kernel Methods.
svm support-vector-machines machine-learning digital-signal-processing kernel-methods
Language:MATLAB 46
activatedgeek / svgd
PyTorch implementation of Stein Variational Gradient Descent
bayesian bayesian-inference kernel-methods non-parametric-inference stein-variational-gradient-decent
Language:Jupyter Notebook 45
qiskit-community / prototype-quantum-kernel-training
Toolkit for training quantum kernels in machine learning applications
quantum-computing qiskit machine-learning kernel-methods prototype
Language:Python 45
dnbaker / frp
FRP: Fast Random Projections
orthogonal-random-projections jl-transform kernel-methods fftw3-binding simd indexing dy dynamic-continuous-indexing fht
Language:C++ 43
raamana / kernelmethods
Foundational library for Kernel methods in pattern analysis and machine learning
kernel-methods machine-learning kernel-functions data-structures svm mkl multiple-kernel-learning kernels kernel pattern-recognition pattern-analysis data-science scikit-learn metric-learning
Language:Python 43
annamalai-nr / 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"
graph-kernels deep-learning gensim kernel-methods word2vec
Language:Python 42
TheDatumOrg / grail-python
"GRAIL: Efficient Time-Series Representation Learning"
representation-learning kernel-methods learning-to-compress clustering similarity-search classification
Language:Python 40
4fra / CodMWKernelInjector
Undetected Call of duty: MW, Warzone kernel injector.
bobo injector injector-games injector-tool injector-x32 injector-x64 kernel kernel-driver kernel-methods kernel-module mw undetected vanguard warzone warzone-injector
Language:C 35
jkfitzsimons / IPyNotebook_MachineLearning
This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.
bayesian-inference bayesian-machine-learning gaussian-processes ipython-notebook kernel-methods machine-learning
34
lsorber / neo-ls-svm
Neo LS-SVM is a modern Least-Squares Support Vector Machine implementation
gaussian-processes kernel-methods kernel-ridge-regression machine-learning python support-vector-machines ls-svm conformal-prediction prediction-intervals
Language:Python 34
koopcore
TUM-ITR / koopcore
Koopman Kernels for Learning Dynamical Systems from Trajectory Data
differential-equations dynamical-systems kernel-methods koopman-operator-theory time-series data-driven
Language:Python 30
annamalai-nr / subgraph2vec_tf
This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper
tensorflow skipgram deep-learning kernel-methods graph-kernels deep-neural-networks kdd
Language:Python 26
antoine-moulin / MVA
Labs and homeworks done during the Master Mathematics, Vision, Learning (MVA) at ENS Paris-Saclay.
convex-optimization graphs-classification object-recognition reinforcement-learning probabilistic-graphical-models deep-learning kernel-methods sequential-learning mva ens-paris-saclay
Language:Jupyter Notebook 26
bghojogh / Principal-Component-Analysis
The code for Principal Component Analysis (PCA), dual PCA, Kernel PCA, Supervised PCA (SPCA), dual SPCA, and Kernel SPCA
principal-component-analysis supervised-pca kernel-pca dual-pca kernel-supervised-pca kernel-methods
Language:Python 26
392781 / scikit-ntk
Neural Tangent Kernel (NTK) module for the scikit-learn library
kernel-methods machine-learning neural-tangent-kernel ntk scikit scikit-learn
Language:Python 25

kernel-methods

benedekrozemberczki / awesome-graph-classification

djsutherland / opt-mmd

BayesWatch / deep-kernel-transfer

tailhq / DynaML

FalkonML / falkon

polatory / polatory

jbramburger / DataDrivenDynSyst

IvanoLauriola / MKLpy

jajupmochi / graphkit-learn

muammar / ml4chem

steven2358 / kafbox

ChenHongruixuan / KPCAMNet

ssydasheng / Neural-Kernel-Network

wittawatj / kernel-gof

danieljprice / splash

wittawatj / interpretable-test

SAG-KeLP / kelp-full

steven2358 / kmbox

ninja3697 / Kernel-Adaptive-Filtering-in-Python

sigvaldm / localreg

paulveillard / cybersecurity-windows-exploitation

DSPKM / DSPKM

activatedgeek / svgd

qiskit-community / prototype-quantum-kernel-training

dnbaker / frp

raamana / kernelmethods

annamalai-nr / subgraph2vec_gensim

TheDatumOrg / grail-python

4fra / CodMWKernelInjector

jkfitzsimons / IPyNotebook_MachineLearning

lsorber / neo-ls-svm

TUM-ITR / koopcore

annamalai-nr / subgraph2vec_tf

antoine-moulin / MVA

bghojogh / Principal-Component-Analysis

392781 / scikit-ntk