Procedural collision geometry generation using photos and color labels

Tracking the ARTag and Imposing an Image on the tag

NLP classification of manuscript titles.

I leveraged an algorithmic approach for document classification and document clustering. Various models have been trained for document classification and they all have been evaluated using performance metrics followed by tuning of the model hyper-parameters to reach the most accurate classification. Additionally, a model has been trained for doc…

.NET 7 had brought very significant performance improvements to several LINQ queries by vectorising the processing of various data structures. Whilst the improvements achieved are considerable, I wondered if it was possible to obtain further gains by resorting to .NET Hardware Intrinsics, particularly for large datasets.

A personalized Chatbot for Ajman University related queries. It utilizes one of the lang chain use cases to converse over a document with streamlit as the front-end.

Intel Intrinsics C++ Wrapper

Материалы к курсу "Компьютерная математика", 2020 г.

Side project at IOP Technologies

A really simple way to show the vast difference of time taken by an explicit for-loop and numpy's dot method(vectorized approach).

Vector Labs Site

Lecture notes from NumPy course taken somewhere

Python project using NumPy library from CoRise's Python for Data Science course (Week 1)

Sentiment analysis of food reviews

ML Models trained using different classification and regression techniques.

Text Summarization using TF-IDF technique in Python.

A C++ desktop application for advanced implemented computer vision algorithms and techniques in one toolbox

This repo contains my semestral work for the BI-MGA subject.