Büşra Oğuzoğlu's Projects
3D Environment with panaromic image in Unity
Creating an alarm to be used in Android projects (Some classes may be deprecated. Created in 2015)
Sentiment and stance analysis of online articles and news about Israel-Hamas war.
My personal repository
Camera Geometry Estimation: Estimating camera geometry from a picture of a box. After the calculations, the camera matrix that has been found is tested by placing geometric objects(?), not really objects but some drawings. We can place objects as well though.
Simple 3 layer CNN for object classification task on CIFAR10 dataset. 87% on test.
Introduction to Object Oriented Programming
Answers to Practice Questions (May not be complete or completely correct)
Implementation of K-means algorithm for color quantization and connected components analysis algorithms from scratch
Lab work for CS102 Course in Bilkent University
Implementation of CYK algorithm to act as a recognizer and parser with Turkish CFG.
Implementation of Gaussian Mixture Model with EM Algorithm from scratch.
Homework written in Java for CS102 Course in Bilkent University
Implementation of image stitching using homography to create panoramic images.
This repo contains study materials for Java programming language
Implementation of Logistic Regression from Scratch Using Numpy
First lab of Bilkent University CS431 Embedded Systems Course. Written by Şamil İraz, Gülnihal Muslu and Büşra Oğuzoğlu.
VAE Implementation with LSTM Encoder and CNN Decoder
Python code for disease spread simluation. NetworkX and Ndlib libraries were used.
Simple next word prediction model from scratch, implemented using only numpy.
Some Test Projects for Future Reference. 1. Text classification with CNN's on Kaggle REAL and FAKE news dataset.
Passworld is a project that locks and unlocks the systems such as cell phones, smart home systems or card entry systems by entering password which is controlled by the distance between the user and the system. It was written in SystemVerilog by Aylin Çakal and Büşra Oğuzoğlu for the project of CS223 Digital Design Course of Bilkent University
Graph Neural Networks for Protein Interaction Prediction
Creating/testing different embeddings of sample Protein sequences from www.uniprot.org
Original Programming language created with lex & yacc for CS315 Programming Languages course project.
Link prediction on a created graph using stellar graph library with different methods: GraphSAGE, HinSAGE, Metapath2Vec. TODO: Codes need to be organized.
“Take Your Pills” is an Android application that allows the user to make an alarm schedule for their medicine which shows the properties and details of all medicine the user entered. The user is able to enter the details of the medicine they wish to add such as the name, amount taken in each use, amount in a single pack, and a picture. Name, amount taken in each use and picture are displayed when the alarm is called. This project is made as a term project for CS102 course in Bilkent University