csbanon
AI/ML Engineer & Data Scientist. I write about AI, data, software, tech, and photography. β’π»π¦β’ πͺπΈπ΅π·πΊπΈ
University of Central FloridaOrlando, FL
Pinned Repositories
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.
canny-edge-detector
Canny Edge Detector is an implementation of the edge detection method defined by John Canny in 1986. 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.
notebooks
A series of Jupyter Notebooks I've worked on throughout the years, focusing on AI/ML, data science, computer vision, and NLP.
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.
ucf-ai-advising-chatbot
The Knugget Advising Chatbot (or KnugBot) for the Department of Computer Science and Information Technology at the University of Central Florida empowers advisors to allocate their time more efficiently by reducing their load of frequently asked questions while providing accurate answers and reducing response times for student inquiries. 2020-2021.
csbanon's Repositories
csbanon/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.
csbanon/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.
csbanon/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.
csbanon/machine_learning_course
Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)
csbanon/algorithms
Personal practice for solving various algorithms.
csbanon/autoencoder
csbanon/notebooks
A series of Jupyter Notebooks I've worked on throughout the years, focusing on AI/ML, data science, computer vision, and NLP.
csbanon/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.
csbanon/canny-edge-detector
Canny Edge Detector is an implementation of the edge detection method defined by John Canny in 1986. 2020.
csbanon/csbanon
Repository for a custom GitHub profile.
csbanon/hotel-management-system
olΓ©Hotels 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.
csbanon/image-thresholding
Image Thresholding is an implementation of the Otsu and binary image thresholding algorithms. 2020.
csbanon/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.
csbanon/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.
csbanon/paper-notes
My notes from many of the papers I've come across throughout my studies in computer science
csbanon/ml.school
Machine Learning School
csbanon/nlp-classifiers
csbanon/SysSoftwareScripts
test scripts for each part of the Systems Software project (UCF COP 3402)