kernel-functions

Simple calculation to render cheap water effects.

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 kernels in Julia.

Random Fourier Features

Foundational library for Kernel methods in pattern analysis and machine learning

Operating System OS/161 Kernel Development

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

💡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.

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

ksocket: easy TCP/UDP networking in kernel space

Multiple Kernel Least Squares Suport Vector Machine provide classification model.

📈 Desktop app for testing and ploting fuzzy operators

Implementation of some (multiple) instance kernels

The implementation of systems calls, lock, Virtual Memory and other file system implementation on OS161

Support Vector Machine (SVM) a machine learning algorithm implemented from scratch.

A small collection of functions associated with radial basis function interpolation and collocation

A Julia package for kernel functions on graphs

DSP filter, kernel design. Frequency response analysis. Kernel designs.

Support Vector Machines (SVMs) from scratch, without dedicated packages, for the classification of linear and non-linear data.

Reinforcement learning using kernel-based function approximation

The code for Image Structure Subspace Learning using the SSIM Kernel

Computational Statistic class coding assignment

An operational system template

simple command_line operating system for development and learning purposes

Operatins System & System Programming Lab Work

Custom implementation of Support Vector Machines using Python and NumPy