There are 1 repository under kernel-functions topic.
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
**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.
📈 Desktop app for testing and ploting fuzzy operators
SVM-Perceptron On Flight DataSet
Implementation of some (multiple) instance kernels
A Julia package for kernel functions on graphs
Support Vector Machine (SVM) a machine learning algorithm implemented from scratch.
MITx - MicroMasters Program on Statistics and Data Science - Data Analysis: Statistical Modeling and Computation in Applications - Fifth Project
Reinforcement learning using kernel-based function approximation
An operational system template
SVM from scratch. For optimization I use SMO
Explore utilities of kernel functions in GPFA
Spring 2021 Machine Learning (CS 181) Homework 1
The code for Image Structure Subspace Learning using the SSIM Kernel
Custom implementation of Support Vector Machines using Python and NumPy
Support Vector Machines (SVMs) from scratch, without dedicated packages, for the classification of linear and non-linear data.
Insights and Analysis - Using Various Deep Learning Architectures on Image Classification Datasets