kernel-trick

There are 2 repositories under kernel-trick topic.

uzairakbar / info-retrieval
Information Retrieval in High Dimensional Data (class deliverables)
embeddings logistic-regression convex-optimization kernel-trick svm linear-discriminant-analysis principal-component-analysis neural-networks
Language:Jupyter Notebook 38
KernelNeuralOptimalTransport
iamalexkorotin / KernelNeuralOptimalTransport
PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)
deep-learning generative-model image-to-image-translation kernel-trick kernels neural-optimal-transport optimal-transport weak-optimal-transport
Language:Jupyter Notebook 21
wesbarnett / diffusion-map
Comparison of principal components analysis with diffusion maps on toy data sets and a molecular simulation trajectory
data-science dimensionality-reduction principal-component-analysis kernel-trick
Language:Fortran 16
Multi-Shot-Approximation-of-MDPs / Self-Guided-ALPs-Discounted-Cost
Multi-Shot Approximation of Discounted Cost MDPs
approximate-dynamic-programming reinforcement-learning random-features inventory-management reinforcement-learning-algorithms value-function linear-programming kernel-trick
Language:Python 11
bhattbhavesh91 / svm-kernel-trick
To deal with non-linearly separable we use SVM's Kernel Trick which maps data to higher dimension!
kernel-trick rbf-kernel support-vector-machine svm svm-classifier svm-kernel
Language:Jupyter Notebook 7
ayush29feb / cse446
University of Washington: CSE 446 (WIN '17) Machine Learning
machine-learning linear-regression logistic-regression perceptron kernel-trick
Language:Jupyter Notebook 3
CrisSherban / DualPerceptron
A perceptron optimized with Numba that makes use of dual coordinates and kernel functions instead of classical dot product
classification kernel-trick numba perceptron python
Language:Python 3
0cherry / PackerIdentificator
packer identification tool using SVM
ml machine-learning svm svm-classifier kernel-trick similarity-measures similarity sequence-analysis pefile windows
Language:Python 2
behzadshomali / Computational-intelligence-projects
This repository contains my projects in the context of the "Computational Intelligence" course (held at FUM).
bag-of-words clustering kernel-trick perceptron word2vec
Language:Jupyter Notebook 2
justin830827 / Graph-Data-Mining
This repository contains the projects and homework from CSC 591 Graph Data Mining
anomaly-detection community-detection data-mining graph-theory kernel-trick python3
Language:Jupyter Notebook 2
MoinDalvs / Assignment_SVM_Forest_Fire_Prediction
adasyn-sampling auc-roc-curve data-science hyperparameter-tuning kernel-trick regularization smote-sampling smoteenn smotetomek svm-classifier svm-kernel
Language:Jupyter Notebook 2
mwoss / ML-workshop
My first steps to becoming AI engineer :)
coursera andrew-ng machine-learning ai fuzzy-logic matlab python java pca knn cnn classification metric-learning dimensional-analysis kernel-trick svm pca-analysis k-means k-medoids
Language:Jupyter Notebook 1
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
svm kernel-trick
Language:Python 1
davitpapikyan / Gaussian-Processes-for-Machine-Learning
Gaussian Processes for Machine Learning
bayesian-inference gaussian-process-regression gaussian-processes kernel kernel-trick machine-learning python regression
Language:Jupyter Notebook 0
LeleVibrato / multi-class-svm
A multiclass Support Vector Machine that supports kernel tricks has been implemented by solving the SVM quadratic programming problem.
kernel-trick machine-learning svm-classifier
Language:Python 0
LeleVibrato / SVM-Multi-classifier-multi-processers
Implemented a multi-class SVM that supports multi-core parallel computing
kernel-trick machine-learning parrallel-computing svm-classifier
Language:Python 0
zargiteddy / Support-Vector-Machine-Projects
Support Vector Machine-related projects
data-science kernel-trick machine-learning supervised-learning support-vector-machine svm svm-classifier
Language:Jupyter Notebook 0
arashsm79 / machine-learning-lab
Exploring meachine learning techniques and algorithms. Including clustering algorithms, perceptron and, more.
agglomerative clustering dbscan k-means kernel-approximation kernel-trick machine-learning perceptron rand-index scikit-learn kernelized-perceptron python
Language:HTML
hamedrq7 / Classification-using-MLP-and-kernel-trick
This is a homework about supervised learning and kernel trick for machine learning course @ FUM.
classification supervised-learning feature-map kernel-trick mlp-classifier
Language:Jupyter Notebook
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.
classification kernel-trick machine-learning support-vector-machines
Language:Jupyter Notebook
TahaTabatabaei / perceptron-classifier
simple classifier with perceptron (university assignment)
classification kernel-approximation kernel-trick perceptron scikit-learn
Language:Jupyter Notebook

kernel-trick

uzairakbar / info-retrieval

iamalexkorotin / KernelNeuralOptimalTransport

wesbarnett / diffusion-map

Multi-Shot-Approximation-of-MDPs / Self-Guided-ALPs-Discounted-Cost

bhattbhavesh91 / svm-kernel-trick

ayush29feb / cse446

CrisSherban / DualPerceptron

0cherry / PackerIdentificator

behzadshomali / Computational-intelligence-projects

justin830827 / Graph-Data-Mining

MoinDalvs / Assignment_SVM_Forest_Fire_Prediction

mwoss / ML-workshop

nps6-uwf / nonlinear_svm

davitpapikyan / Gaussian-Processes-for-Machine-Learning

LeleVibrato / multi-class-svm

LeleVibrato / SVM-Multi-classifier-multi-processers

zargiteddy / Support-Vector-Machine-Projects

arashsm79 / machine-learning-lab

hamedrq7 / Classification-using-MLP-and-kernel-trick

SCIA-Premium / SVM-101

TahaTabatabaei / perceptron-classifier