Basic Linear Algebra Subprograms and Routines c99/c11.

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

Computational Statistic class coding assignment

Explore utilities of kernel functions in GPFA

Custom implementation of Support Vector Machines using Python and NumPy

Operatins System & System Programming Lab Work

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

LIME for TimeSeries enhances AI transparency by providing LIME-based interpretability tools for time series models. It offers insights into model predictions, fostering trust and understanding in complex AI systems.

SVM from scratch. For optimization I use SMO

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

Support Vector Machine (SVM) a machine learning algorithm implemented from scratch.

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

A Julia package for kernel functions on graphs