Simple calculation to render cheap water effects.

Random Fourier Features

An operational system template

Multiple Kernel Least Squares Suport Vector Machine provide classification model.

Operating System OS/161 Kernel Development

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

Computational Statistic class coding assignment

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

💡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.

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

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

Machine learning kernels in Julia.

Custom implementation of Support Vector Machines using Python and NumPy

📈 Desktop app for testing and ploting fuzzy operators

Reinforcement learning using kernel-based function approximation

The code for Image Structure Subspace Learning using the SSIM Kernel

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.

ksocket: easy TCP/UDP networking in kernel space

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