algorithms

Personal practice for solving various algorithms.

autoencoder

bert-product-rating-predictor

The BERT Product Rating Predictor is a natural language processing model based on the Bidirectional Encoder Representations from Transformers (BERT) model developed to predict star ratings for textual product reviews. 2020.

branch-predictor

Branch Predictor is a C# program that runs a gshare branch prediction simulation, according to a specified number of Global Buffer Table (GBT) and Global History Record (GHR) bits. 2019.

cache-simulator

Cache Simulator is a Java program that simulates a simple cache system with various inputs, including cache size, replacement policy, associativity and write-back policy. 2019.

canny-edge-detector

Canny Edge Detector is an implementation of the edge detection method defined by John Canny in 1986. 2020.

csbanon

Repository for a custom GitHub profile.

hotel-management-system

oléHotels is a simple hotel management system web application developed as part of the Processes of Object-Oriented Software Development course at the University of Central Florida. 2019.

image-thresholding

Image Thresholding is an implementation of the Otsu and binary image thresholding algorithms. 2020.

machine_learning_course

Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)

mnist-classifiers

A collection of Jupyter notebooks containing various MNIST digit and fashion item classification implementations using fully-connected and convolutional neural networks (CNNs) built with TensorFlow and Keras. 2020.

nlp-classifiers

notebooks

A series of Jupyter Notebooks I've worked on throughout my studies in Artificial Intelligence, Machine Learning, Computer Vision, and Data Science.

paper-notes

My notes from many of the papers I've come across throughout my studies in computer science. 2020.

pd-model

The Preferential Deletion Model (PDModel) is an implementation of the original discrete-time random graph generation process described by Narsingh Deo and Aurel Cami. 2020.

pdc-model

The Preferential Deletion Model with Changing in Existing Connections (PDCModel) is an extension of the discrete-time random graph generation process described by Narsingh Deo and Aurel Cami in 2005. This new model accounts for changes in existing edges for every unit of time, representing the behavior of social circles more accurately. 2020.

syssoftwarescripts

test scripts for each part of the Systems Software project (UCF COP 3402)