DSP filter, kernel design. Frequency response analysis. Kernel designs.

Support Vector Machines (SVMs) from scratch, without dedicated packages, for the classification of linear and non-linear data.

Spring 2021 Machine Learning (CS 181) Homework 1

The code for Image Structure Subspace Learning using the SSIM Kernel

Cyone is an assembly language specifically designed for interacting with the Cyone Kernel, a system developed for 8-bit microcontrollers.

Computational Statistic class coding assignment

Operatins System & System Programming Lab Work

OpenCL Image Processing: Explore efficient image processing algorithms using OpenCL, a framework for parallel computing. Convert colored images to grayscale for tasks like skin cancer detection, leveraging the ISIC 2020 Challenge Dataset. Includes optimized parallelized algorithms and documentation for seamless implementation.

Custom implementation of Support Vector Machines using Python and NumPy

Insights and Analysis - Using Various Deep Learning Architectures on Image Classification Datasets

SVM from scratch. For optimization I use SMO

An operational system template

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

A small collection of functions associated with radial basis function interpolation and collocation

A Julia package for kernel functions on graphs

SVM-Perceptron On Flight DataSet