kernel-functions

A suite of classification clustering algorithm implementations for Java. A number of partitional, hierarchical and density-based algorithms including DBSCAN, k-Means, k-Medoids, MeanShift, Affinity Propagation, HDBSCAN and more.

machine-learning clustering clustering-algorithm kernel-functions

Updated Oct 29, 2020
Java

IDouble / Kernel-Memory-Reading-Writing

Star 81

🔍 Code to read / write the Process Memory from the Kernel 🔧

c windows template kernel simple memory thread read process windows-kernel easy-to-use write kernel-driver kernel-functions kernelmode

Updated Feb 29, 2024
C

trthatcher / MLKernels.jl

Star 78

Machine learning kernels in Julia.

machine-learning julia kernel-functions mercer-kernels

Updated Dec 3, 2019
Julia

karanbhatia92 / os161-kernel

Star 53

Operating System OS/161 Kernel Development

c operating-system kernel-functions

Updated Jan 19, 2018
C

SAG-KeLP / kelp-full

Star 52

machine-learning kernel-methods clustering-algorithm online-learning kernel-functions batch-learning tree-kernel

Updated Oct 30, 2021
Java

hichamjanati / srf

Star 50

Random Fourier Features

machine-learning kernel-functions

Updated May 5, 2017
Jupyter Notebook

raamana / kernelmethods

Star 42

Foundational library for Kernel methods in pattern analysis and machine learning

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

Updated Feb 7, 2023
Python

hbagdi / ksocket

Star 28

ksocket: easy TCP/UDP networking in kernel space

networking tcp kernel-module udp kernel-space kernel-functions ksocket

Updated Apr 1, 2021
C

SAG-KeLP / kelp-additional-kernels

Star 20

machine-learning kernel-functions graph-kernels tree-kernel sequence-kernels

Updated Mar 8, 2019
Java

SAG-KeLP / kelp-core

Star 19

machine-learning learning-algorithm clustering-algorithm kernel-functions classification-algorithm

Updated Nov 16, 2022
Java

Zhenye-Na / coursera-ml

Star 17

💡This repository contains all of the lecture exercises of Machine Learning course by Andrew Ng, Stanford University @ Coursera. All are implemented by myself and in MATLAB/Octave.

machine-learning deep-neural-networks deep-learning linear-regression coursera logistic-regression decision-trees support-vector-machines principal-component-analysis andrew-ng kernel-functions anomaly-detection andrew-ng-course andrew-ng-machine-learning

Updated Mar 11, 2019
MATLAB

mainkoon81 / Study-09-MachineLearning-B

Star 17

**Supervised-Learning** (with some Kaggle winning solutions and their reason of Model Selection for the given dataset).

svm linear-regression support-vector-machine decision-tree kernel-functions overfitting perceptron-algorithm

Updated Nov 7, 2019
Jupyter Notebook

LIME-for-Time-Series

mdhabibi / LIME-for-Time-Series

Star 11

LIME for TimeSeries enhances AI transparency by providing LIME-based interpretability tools for time series models. It offers insights into model predictions, fostering trust and understanding in complex AI systems.