kernel-trick
There are 21 repositories under kernel-trick topic.
uzairakbar/info-retrieval
Information Retrieval in High Dimensional Data (class deliverables)
iamalexkorotin/KernelNeuralOptimalTransport
PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)
wesbarnett/diffusion-map
Comparison of principal components analysis with diffusion maps on toy data sets and a molecular simulation trajectory
Multi-Shot-Approximation-of-MDPs/Self-Guided-ALPs-Discounted-Cost
Multi-Shot Approximation of Discounted Cost MDPs
bhattbhavesh91/svm-kernel-trick
To deal with non-linearly separable we use SVM's Kernel Trick which maps data to higher dimension!
ayush29feb/cse446
University of Washington: CSE 446 (WIN '17) Machine Learning
CrisSherban/DualPerceptron
A perceptron optimized with Numba that makes use of dual coordinates and kernel functions instead of classical dot product
0cherry/PackerIdentificator
packer identification tool using SVM
behzadshomali/Computational-intelligence-projects
This repository contains my projects in the context of the "Computational Intelligence" course (held at FUM).
justin830827/Graph-Data-Mining
This repository contains the projects and homework from CSC 591 Graph Data Mining
mwoss/ML-workshop
My first steps to becoming AI engineer :)
nps6-uwf/nonlinear_svm
In this project I developed a program that generates nonlinearly separable data. This data is mapped into a higher dimension using a kernel trick where the data becomes linearly separable
davitpapikyan/Gaussian-Processes-for-Machine-Learning
Gaussian Processes for Machine Learning
LeleVibrato/multi-class-svm
A multiclass Support Vector Machine that supports kernel tricks has been implemented by solving the SVM quadratic programming problem.
LeleVibrato/SVM-Multi-classifier-multi-processers
Implemented a multi-class SVM that supports multi-core parallel computing
zargiteddy/Support-Vector-Machine-Projects
Support Vector Machine-related projects
arashsm79/machine-learning-lab
Exploring meachine learning techniques and algorithms. Including clustering algorithms, perceptron and, more.
hamedrq7/Classification-using-MLP-and-kernel-trick
This is a homework about supervised learning and kernel trick for machine learning course @ FUM.
SCIA-Premium/SVM-101
Understanding of Support Vector Machines (SVMs) and their implementations. Covers linear and non-linear SVM, also explains how to use the "kernel trick" to handle non-linearly separable data.
TahaTabatabaei/perceptron-classifier
simple classifier with perceptron (university assignment)