Projects in Awesome Lists tagged with kernel-methods

https://github.com/djsutherland/opt-mmd

Learning kernels to maximize the power of MMD tests

generative-adversarial-network hypothesis-testing kernel-methods machine-learning maximum-mean-discrepancy python shogun statistical-tests tensorflow theano

Last synced: 31 Jul 2025

https://github.com/BayesWatch/deep-kernel-transfer

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

bayesian-methods classification deep-kernel-learning deep-learning few-shot-learning gaussian-processes gpytorch kernel kernel-methods kernels meta-learning one-shot-learning paper regression shot-learning uncertainty uncertainty-quantification

Last synced: 01 May 2025

https://github.com/tailhq/dynaml

Scala Library/REPL for Machine Learning Research

classification committee-models gaussian-processes kernel-methods machine-learning machine-learning-algorithms machine-learning-api regression repl scala scala-library tensorflow

Last synced: 09 Apr 2025

https://github.com/tailhq/DynaML

Scala Library/REPL for Machine Learning Research

classification committee-models gaussian-processes kernel-methods machine-learning machine-learning-algorithms machine-learning-api regression repl scala scala-library tensorflow

Last synced: 26 Mar 2025

https://github.com/jajupmochi/graphkit-learn

A python package for graph kernels, graph edit distances, and graph pre-image problem.

chemoinformatics graph-edit-distance graph-kernels graph-representations kernel-methods machine-learning paths pattern-recognition pre-image walks

Last synced: 01 May 2025

https://github.com/jbramburger/DataDrivenDynSyst

Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems

autoencoder autoencoder-neural-network autoencoders conservation-laws data-science dynamic-mode-decomposition dynamical-systems extended-dynamic-mode-decomposition forecasting kernel-methods machine-learning neural-network physics-informed-learning physics-informed-neural-networks poincare-map sindy sindy-algorithm stroboscopic-map time-delay universal-approximation-theorem

Last synced: 01 May 2025

https://github.com/muammar/ml4chem

ML4Chem: Machine Learning for Chemistry and Materials

chemistry deeplearning kernel kernel-methods machine-learning materials-science physics

Last synced: 17 Jun 2025

https://github.com/steven2358/kafbox

A Matlab benchmarking toolbox for kernel adaptive filtering

kernel-adaptive-filtering kernel-methods matlab signal-processing

Last synced: 17 Mar 2025

https://github.com/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

Last synced: 06 Oct 2025

https://github.com/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

Last synced: 16 Jan 2026

https://github.com/steven2358/kmbox

Kernel Methods Toolbox for Matlab/Octave

kernel-methods matlab signal-processing

Last synced: 17 Jul 2025

https://github.com/activatedgeek/svgd

PyTorch implementation of Stein Variational Gradient Descent

bayesian bayesian-inference kernel-methods non-parametric-inference stein-variational-gradient-decent

Last synced: 20 Jul 2025

https://github.com/qiskit-community/prototype-quantum-kernel-training

Toolkit for training quantum kernels in machine learning applications

kernel-methods machine-learning prototype qiskit quantum-computing

Last synced: 21 Apr 2025

https://github.com/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.

arm-templates arm64 cybersecurity-search-engine executable exploitation-framework kernel-methods kernel-module windows windows-exploitation windows-security x86 x86-kernel

Last synced: 10 Apr 2025

https://github.com/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"

deep-learning gensim graph-kernels kernel-methods word2vec

Last synced: 27 Mar 2025

https://github.com/raamana/kernelmethods

Foundational library for Kernel methods in pattern analysis and machine learning

data-science data-structures kernel kernel-functions kernel-methods kernels machine-learning metric-learning mkl multiple-kernel-learning pattern-analysis pattern-recognition scikit-learn svm

Last synced: 22 Aug 2025

https://github.com/dnbaker/frp

FRP: Fast Random Projections

dy dynamic-continuous-indexing fftw3-binding fht indexing jl-transform kernel-methods orthogonal-random-projections simd

Last synced: 19 Sep 2025

https://github.com/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

Last synced: 28 Oct 2025

https://github.com/annamalai-nr/subgraph2vec_tf

This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper

deep-learning deep-neural-networks graph-kernels kdd kernel-methods skipgram tensorflow

Last synced: 27 Mar 2025

https://github.com/392781/scikit-ntk

Neural Tangent Kernel (NTK) module for the scikit-learn library

kernel-methods machine-learning neural-tangent-kernel ntk scikit scikit-learn

Last synced: 26 Sep 2025

https://github.com/operalib/operalib

Learning with operator-valued kernels

features fourier kernel kernel-methods learning-algorithm machine-learning-library operator-valued random rff scikit-learn

Last synced: 12 Apr 2025

https://github.com/lightonai/supervised-random-projections

Python implementation of supervised PCA, supervised random projections, and their kernel counterparts.

kernel-methods machine-leanring pca randomization

Last synced: 26 Aug 2025

https://github.com/sebastianament/covariancefunctions.jl

Lazy, structured, and efficient operations with kernel matrices.

gaussian-processes kernel-methods lazy-evaluation linear-algebra matrix-multiplication structured-matrix-decomposition

Last synced: 24 Jan 2026

https://github.com/larslorch/stadion

Causal Modeling with Stationary Diffusions, AISTATS 2024

causal-inference causality dynamical-systems kernel-methods sde

Last synced: 14 Dec 2025

https://github.com/lsorber/neo-ls-svm

Neo LS-SVM is a modern Least-Squares Support Vector Machine implementation

conformal-prediction gaussian-processes kernel-methods kernel-ridge-regression ls-svm machine-learning prediction-intervals python support-vector-machines

Last synced: 28 Apr 2025

https://github.com/mlampros/kernelknn

Kernel k Nearest Neighbors in R

cpp11 distance-metric kernel-methods knn r rcpparmadillo

Last synced: 13 Apr 2025

https://github.com/djsutherland/igms

Implicit generative models and related stuff based on the MMD, in PyTorch

generative-models hypothesis-testing kernel-methods machine-learning maximum-mean-discrepancy python pytorch statistical-tests

Last synced: 23 Apr 2025

https://github.com/tanglespace/hotstepper

A Numpy based step function library for analysis and profit. More than just taking you up and down.

data-analysis kernel-methods linear-algebra numpy pandas step-functions time-series

Last synced: 19 Mar 2025

https://github.com/lucasrodes/kpca-denoising-python

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

denoising-images kernel-methods kpca-analysis machine-learning pca-analysis

Last synced: 18 Mar 2025

https://github.com/joshualampert/kernelinterpolation.jl

Multivariate (generalized) scattered data interpolation with symmetric (conditionally) positive definite kernel functions in arbitrary dimension

collocation-method interpolation julia kernel-methods meshfree numerical-simulation-framework radial-basis-function simulation

Last synced: 21 Mar 2025

https://github.com/gdkrmr/drr

Dimensionality Reduction via Regression using Kernel Ridge Regression in R

dimensionality-reduction kernel-methods non-linear regression-models

Last synced: 21 Mar 2025

https://github.com/juselara1/mlsa

Tensorflow 2.0 implementation of the M-LSA method.

deep-learning histopathology-images kernel-methods multimodal-learning

Last synced: 04 Sep 2025

https://github.com/sylvaincom/anomaly-detection-pca

Anomaly detection on a production line using principal component analysis (PCA) and kernel principal component analysis (KPCA) *from scratch*.

anomaly-detection kernel-methods kpca pca principal-component-analysis

Last synced: 06 Oct 2025

https://github.com/omerwe/MKLMM

Multi Kernel Linear Mixed Models for Complex Phenotype Prediction

gaussian-process-regression gaussian-processes gwas kernel-methods machine-learning polygenic-risk-scores polygenic-scores statistical-genetics

Last synced: 24 Mar 2025

https://github.com/xhan97/isokernel

A scikit-learn-compatible module for Isolation Kernel with aNNE implemention.

Last synced: 14 Apr 2025

https://github.com/qw3rtman/random-feature-maps

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

kernel-methods random-features support-vector-machine svm-classifier

Last synced: 14 Apr 2025

https://github.com/isolationkernel/ikpykit

IKPyKit: Isolation Kernel Python toolKit

anomaly-detection clustering data-science graph-mining isolation-kernel kernel-methods machine-learning scikit-learn stream-mining time-series

Last synced: 13 Apr 2025

https://github.com/sircamp/tensorflow-kernels

Tensorflow implementation of most popular Kernel for kernel methods like SVM

gpu-acceleration kernel-methods machine-learning machine-learning-algorithms svm tensorflow

Last synced: 17 Jun 2025

https://github.com/albertnieto/qcml

A benchmarking library for quantum and classical machine learning, with specialized support for evaluating kernel methods.

benchmarking kernel-methods machine-learning pennylane qiskit quantum-computing quantum-machine-learning

Last synced: 09 Apr 2025

https://github.com/ethanjameslew/koopmania

a little library to help me with things involving Koopman operators

data-driven-model dmd dynamic-mode-decomposition dynamical-systems kernel-methods koopman koopman-operators

Last synced: 16 Jun 2025

https://github.com/dnbaker/stochasticsvm

SVM trained by the PEGASOS Stochastic Subgradient Descent algorithm

classification kernel-methods pegasos svm

Last synced: 26 Jun 2025

https://github.com/xhan97/streakhc

A novel incremental hierarchical clustering algorithm (KDD 22)

heirarchical-clustering kernel-methods stream-clustering

Last synced: 14 Apr 2025

https://github.com/gletarte/pbrff

Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior

kernel-learning kernel-methods pac-bayes

Last synced: 06 Sep 2025

https://github.com/ryanhill1/quantum-variational-classifier

Implementations of quantum variational classifier and quantum kernel estimator proposed in Havlíček, V., Córcoles, A.D., Temme, K. et al. Supervised learning with quantum-enhanced feature spaces. Nature 567, 209–212 (2019). https://doi.org/10.1038/s41586-019-0980-2

kernel-methods quantum-machine-learning variational-circuit

Last synced: 21 Oct 2025

https://github.com/kvignesh1420/shallow_nc1

[NeurReps 2024, TMLR 2025] Can Kernel Methods Explain How the Data Affects Neural Collapse?

adaptive-kernels kernel-methods neural-collapse shallow-neural-network

Last synced: 19 Jan 2026

https://github.com/katya-incorporated/pixel-7-and-pixel-7-pro-kernel-prebuilts

It was a fairly unexciting conclusion. When I reviewed the Google Pixel 7 Pro last year, I walked away with the impression of a phone that was a bit better in some important ways but wasn’t quite the superintelligent, time-saving device that Google claimed it was. It was just a good smartphone, not a smarter smartphone. But that was over six month

aosp aosp-android aosp-build aosp-device aosp-kernel aospextended graphene graphenedb grapheneos katya katyaos katyasystem kernel kernel-driver kernel-methods kernel-module linux linux-kernel linux-kernel-module linux-shell

Last synced: 04 Apr 2025

https://github.com/katya-incorporated/aurora-store

About Aurora Store 📺 focused on security, minimalism and usability. Our app store is currently being used to distribute our own apps and the Google Play mirror for isolated download functionality of all apps that are available on the Google Play Market. In the future, it will be used for the possible distribution of builds of Katya ® 👽 Mobile OS.

aosp aosp-android aosp-build aosp-device aosp-kernel aospextended kernel kernel-driver kernel-methods kernel-module kernel-modules kernel-source linux linux-app linux-distribution linux-kernel linux-shell

Last synced: 04 Dec 2025

https://github.com/katya-incorporated/pixel-6-and-pixel-6-pro-kernel-prebuilts

Ever since I got the Pixel 6 Pro, I’ve been reluctant to use it as my daily driver, opting instead to keep my secondary SIM in it. The smaller Pixel 5 remained my go-to phone. But for the purpose of this revisit, I set aside my pocketable Pixel 5 and made the leap to the 6 Pro. For the first few days, the change in size was nothing.

aosp aosp-android aosp-build aosp-device aosp-kernel graphene graphenedb grapheneos katya katyaos katyasystem kernel kernel-driver kernel-methods kernel-module linux linux-kernel linux-shell

Last synced: 29 Oct 2025

https://github.com/katya-incorporated/pixel-6a-kernel-prebuilts

The Google Pixel 6a arrived with a big challenge in front of it — reclaim the title of the best cheap phone to buy, particularly for those who prize top-notch cameras above all else. It wasn't an easy fight for the budget Pixel. Since the Google Pixel 5a arrived at the end of last summer, both Apple and Samsung have come out with low-cost options.

aosp aosp-android aosp-build aosp-device aosp-kernel aospextended katya katyaos katyasystem kernel kernel-driver kernel-methods kernel-module kernel-source linux linux-app linux-kernel linux-shell

Last synced: 04 Apr 2025

https://github.com/katya-incorporated/application-repository

Each app within Katya ®️'s system is meticulously crafted to seamlessly integrate into her lifestyle, optimizing her productivity, nurturing her creativity, and safeguarding her digital footprint. They embody innovation, efficiency, and personalized functionality, making Katya's digital experience a true testament to cutting-edge technology.

aosp aosp-android aosp-build aosp-device aosp-kernel aospextended katya katyaos katyasystem kernel kernel-driver kernel-methods kernel-module kernel-source linux linux-app linux-distribution linux-kernel linux-shell

Last synced: 24 Dec 2025

https://github.com/e-gleba/win-kernel-hooks

The repository contains a sophisticated Windows API hooking library written in modern C++23

hacking hooks kernel-methods windows

Last synced: 21 Jul 2025

https://github.com/katya-incorporated/.github

Breaking Boundaries: Katya ® 👽 OS Now Open to Developers, Paving the Way for Limitless Creativity and Advancements 📲✨

aosp aosp-android aosp-build aosp-device aosp-kernel aospextended kernel kernel-driver kernel-methods kernel-module kernel-modules kernel-source linux linux-app linux-distribution linux-kernel linux-shell

Last synced: 25 Dec 2025

https://github.com/nickgeneva/kernel_smoothers

Tutorials on kernel smoothing techniques

kernel-methods kernel-smoothing machine-learning machine-learning-algorithms

Last synced: 04 Apr 2025

https://github.com/katya-incorporated/camera

Certainly! Katya's System Camera App, named 'CosmoLens 📸,' transcends the conventional boundaries of photography, intertwining advanced technology with artistic expression to capture and redefine moments in her unique universe. CosmoLens is not just a camera app; it's Katya's portal to crafting ethereal visual tales. It empowers her to encapsulate

aosp aosp-android aosp-build aosp-device aosp-kernel aospextended kernel kernel-driver kernel-methods kernel-module kernel-source linux-distribution linux-kernel linux-shell

Last synced: 11 Dec 2025

https://github.com/katya-incorporated/auditor

Hardware-based attestation / intrusion detection app for Android devices. It provides both local verification with another Android device via QR codes and optional scheduled server-based verification with support for alert emails. It uses hardware-backed keys and attestation support as the foundation and chains trust to the app for software checks.

aosp aosp-android aosp-build aosp-device aosp-kernel kernel kernel-driver kernel-methods kernel-module kernel-source

Last synced: 04 Apr 2025

https://github.com/modal-inria/kernalytics

Kernel methods for data analysis in a modular package.

kernel-methods kmeans-clustering regression segmentation

Last synced: 29 Jun 2025

https://github.com/ethanjameslew/cats-and-dogs-demo

STAT 671 Cats and Dogs Classifier Demo

classification demo kernel-methods machine-learning

Last synced: 16 Jun 2025

https://github.com/katya-incorporated/apps

Katya ®️'s system apps are a constellation of technological wonders seamlessly integrated into one user-friendly ecosystem. Designed with precision and intuition, they serve as the digital backbone of Katya's world, each app tailored to streamline tasks, amplify productivity, and infuse creativity into everyday life.

aosp aosp-android aosp-build aosp-device aosp-kernel aospextended graphene grapheneos katya katyaos katyasystem kernel kernel-driver kernel-methods kernel-module linux linux-app linux-kernel linux-shell

Last synced: 19 Jul 2025

https://github.com/habibslim/advancedlearningmodels

Data challenge to predict the binding nature of DNA sequence regions to specific transcription factors, using kernel methods

computational-biology kernel-methods kernels machine-learning string-kernel

Last synced: 04 Mar 2025

https://github.com/katya-incorporated/pixel-fold-kernel-prebuilts

To Google’s credit, the Pixel Fold is a much more approachable device than the Z Fold 4. Rather than overwhelm you with possibilities, the Pixel places guardrails around what you can and can’t do, like limiting multitasking on the inner screen to two apps. It’s a friendlier device to someone who’s fresh to foldables.

aosp aosp-android aosp-build aosp-device aosp-kernel aospextended graphene graphenedb grapheneos katya katyaos katyasystem kernel kernel-driver kernel-methods kernel-module linux linux-kernel linux-kernel-module linux-shell

Last synced: 04 Apr 2025

https://github.com/yoyolicoris/ml_hw3

My implementation of homework 3 for the Machine Learning class in NCTU (course number 5088).

automatic-relevance-determination gaussian-mixture-models gaussian-processes k-means-clustering kernel-methods linear-discriminant-analysis svm-classifier

Last synced: 02 Apr 2025

https://github.com/katya-incorporated/kernel-common

The Katya ® 👽 OS Kernel Common serves as the foundation for all devices running Katya OS, providing a unified and stable core. It is designed to ensure high performance, security, and compatibility across a wide range of hardware. By optimizing for privacy and decentralization, the common kernel supports seamless operation and customization for it

graphene graphenedb grapheneos katya katyaos katyasystem kernel kernel-development kernel-driver kernel-methods kernel-module kernel-modules kernel-source

Last synced: 08 Jul 2025

https://github.com/yoyolicoris/ML_HW3

My implementation of homework 3 for the Machine Learning class in NCTU (course number 5088).

automatic-relevance-determination gaussian-mixture-models gaussian-processes k-means-clustering kernel-methods linear-discriminant-analysis svm-classifier

Last synced: 18 Oct 2025

https://github.com/majianthu/eval

Code for the Paper "Evaluating Independence and Conditional Independence Measures"

benchmarking conditional-independence-test copula-entropy distance-correlation independence-tests kernel-methods

Last synced: 23 Oct 2025

https://github.com/katya-incorporated/linux-hardened-kernel

The core idea behind kernel hardening is this: we will never be able to get all of the security bugs out of our code, especially when we're dealing with a large and fast-moving program like the kernel. Beyond that, even when we fix security bugs, those fixes don't get out to the affected users; think of all the Android devices with no security.

aosp aosp-android aosp-build aosp-device aosp-kernel aospextended kernel kernel-driver kernel-methods kernel-module kernel-modules kernel-source kernels linux linux-app linux-distribution linux-kernel linux-kernel-module linux-shell

Last synced: 12 Mar 2025

https://github.com/sorydima/extra-branding

These larger-than-life System Extra Branding elements form an enthralling tapestry, weaving innovation, creativity, and interconnectedness into an immersive, spellbinding, and utterly captivating experience that transcends boundaries, inviting all cosmic voyagers to explore Katya's breathtaking digital universe of wonders.

aosp aosp-android aosp-build aosp-device aosp-kernel aospextended kernel kernel-driver kernel-methods kernel-module kernel-source linux linux-app linux-distribution linux-kernel linux-kernel-module linux-shell

Last synced: 27 Feb 2025

https://github.com/katya-incorporated/pixel-4a-5g-pixel-5-and-pixel-5a

In terms of design, the Pixel 5 looks similar to the $499 Pixel 4a 5G. And at 5.7 by 2.8 by 0.3 inches (HWD) and weighs 5.3 ounces, it’s almost the same size and weight as the $349 Pixel 4a. It’s currently available in black or sage, though Google showed a gray model at its launch event that we hope will be available in the future.

aosp aosp-android graphene graphenedb grapheneos katya katyaos katyasystem kernel-driver kernel-methods kernel-module linux linux-kernel linux-shell

Last synced: 04 Apr 2025

https://github.com/malaksadek/kernelsimulator

A Kernel Simulator implemented in C 🧠 💻 (2016)

c kernel kernel-methods

Last synced: 11 Mar 2025

https://github.com/jgurakuqi/slt-based-spam-filters

This project aims to develop three spam filters using different Machine Learning techniques. The techniques to be used are Support Vector Machines with Linear, Polynomial and Radial Basis Function kernels (together with their angular versions), Naive Bayes and K-Nearest Neighbours.

k-nearest-neighbours kernel-methods machine-learning naive-bayes support-vector-machines

Last synced: 28 Mar 2025