Multi-Shot Approximation of Discounted Cost MDPs
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Updated
Jun 4, 2024 - Python
Multi-Shot Approximation of Discounted Cost MDPs
Support Vector Machine-related projects
Implemented a multi-class SVM that supports multi-core parallel computing
A multiclass Support Vector Machine that supports kernel tricks has been implemented by solving the SVM quadratic programming problem.
PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)
simple classifier with perceptron (university assignment)
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.
This repository contains my projects in the context of the "Computational Intelligence" course (held at FUM).
Exploring meachine learning techniques and algorithms. Including clustering algorithms, perceptron and, more.
This is a homework about supervised learning and kernel trick for machine learning course @ FUM.
Gaussian Processes for Machine Learning
To deal with non-linearly separable we use SVM's Kernel Trick which maps data to higher dimension!
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
A perceptron optimized with Numba that makes use of dual coordinates and kernel functions instead of classical dot product
This repository contains the projects and homework from CSC 591 Graph Data Mining
packer identification tool using SVM
My first steps to becoming AI engineer :)
Information Retrieval in High Dimensional Data (class deliverables)
University of Washington: CSE 446 (WIN '17) Machine Learning
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