Simple calculation to render cheap water effects.
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Updated
Apr 25, 2017 - Swift
Simple calculation to render cheap water effects.
Julia package for kernel functions for machine learning
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.
🔍 Code to read / write the Process Memory from the Kernel 🔧
Operating System OS/161 Kernel Development
Foundational library for Kernel methods in pattern analysis and machine learning
ksocket: easy TCP/UDP networking in kernel space
**Supervised-Learning** (with some Kaggle winning solutions and their reason of Model Selection for the given dataset).
💡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.
Multiple Kernel Least Squares Suport Vector Machine provide classification model.
The implementation of systems calls, lock, Virtual Memory and other file system implementation on OS161
📈 Desktop app for testing and ploting fuzzy operators
A Julia package for kernel functions on graphs
SVM-Perceptron On Flight DataSet
Implementation of some (multiple) instance kernels
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