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advanced-deep-learning-projects

Group projects for CS 8321.

audio-lab

CS 5323: Mobile Apps Sensing & Learning In-Class Assignment 2

audiofiltering-fft-dopplershifts

audiolabswift-cs5323-demo

Examples using core audio with AVSession. This using low level functions to access the audio card callback, and expels using the FFT. Use with flipped module and lab two.

bang-iphone-ios-app

iOS App deployment for banging hand on floor and identifying direction of hand with respect to phone using Machine Learning.

bang-iphone-tornado-server

Python MongoDB and Tornado server-side ML implementation for banging hand on floor and identifying direction of hand with respect to phone using Machine Learning.

brain-tumor-detection-model

Applied a ResNet model to classify the existence of types of tumors in brains based on MRI scans of them.

chess.com-exploratory-data-analysis

Exploratory Data Analysis (EDA) of chess.com game data primarily focusing on players with higher ELO's. Used R and Quarto to generate interactive HTML interface.

cs5323-ica2-audio-lab

cs5323-userinterfaceica

An example using UIKit for a class at SMU on iOS sensor development. This is used for flipped module one.

cs5324-machinelearningnotebooks

deepface-typo-pull-request

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

exploring-errors-in-regression

Explored Machine Learning regression models of varying flexibility and how flexibility relates to MSE, Bias, and Variance in our predictions for MATH 4377: Math of Machine Learning. Visualizations of the Bias-Variance trade-off are included, and the project heavily relied on Spline Regression degrees of freedom for flexibility measuring.

fashionpedia-api

Python API for Fashionpedia Dataset

heartbeat-reading-and-face-detection

Using Core Image and OpenCV in iOS to detect faces and read heartbeats of a user with the iPhone's built-in flashlight.

kokkos-tutorials

Tutorials for the Kokkos C++ Performance Portability Programming EcoSystem. Documentation here: https://kokkos.github.io/kokkos-core-wiki/

loan-default-deep-dive-eda

Dove deep into the context of a dataset from Kaggle containing extensive information (around 36 features) on around 150,000 loan applicants.

march-madness-game-prediction-using-prospective-modeling-and-machine-learning

Predicted game outcomes NCAA Men's Basketball Division 1 games in the 2022-23 season using 10-day moving averages & locations to track recent team performance as a predictor for their performance in their next upcoming game.

math4334-mathmodelingnotebooks

mitigating-bias-in-stable-diffusion-models-using-lora

mri-tumor-detection-with-resnet50-and-dinov2

Performed PCA and Randomized PCA, Fine-tuned ResNet50 to achieve a 94% accuracy in identifying tumor type in MRI images, and showcased human-interpretable feature reduction and mapping with Meta's DinoV2 model.

multilayer-perceptron-from-scratch

Coded a multilayer perceptron from scratch allowing for dynamic layer instantiation.

pqr-conversions

Script for PQR file generation for protein-ligland bonding PDB-Bind+ data. Requires directory structure for data.

qr-decomposition-via-householder-reflectors-and-gram-schmidt

Coded QR and QL Decomposition functions using Householder reflectors and Gram-Schmidt for MATH 6316: Numerical Linear Algebra @ SMU.

rural-texas-firm-failure-research-with-machine-learning

Data, code, & other materials for (WORKING) co-authored research paper: "Identifying Determinants of Rural Economic Resiliency via COVID-19 Firm Closures: A Multi-Model Machine Learning Approach for Investigating Successful Economic Development in Rural Texas"

saxophone-hero

Step onto the stage with Saxophone Hero, where your tenor saxophone is the key to unlocking a rhythmic adventure through a world of sheet music. In this game, your character scores points by hitting the right notes. Powered by machine learning, the game captures the pitch from your saxophone and translates it to player movement in real time.

search-engine-in-cpp-with-custom-hashmap-implementation

Coded a Search Engine in C++ by reading in JSON files and storing relevant data in custom HashTable data structures. Ranked #1 for overall search speed out of ~100 competitors.

solving-2d-poissons-equation-using-finite-difference-method-and-iterative-solvers

Implementing 2D Poisson's Equation using the Finite Difference Method and Iterative Solvers for matrices. Explored LU decomposition & the Thomas algorithm, Jacobi, Gauss-Seidel, and the Standard Over-Relaxation (SOR) method. MATH 4315: Advanced Scientific Computing with Professor Weihua Geng.

stock-price-prediction-using-historical-data-and-recurrent-neural-networks

Predicted Target (NYSE: TGT) stocks by implementing a variety of models with Recurrent Neural Networks (RNNs) using TensorFlow. Utilized a variety of predictors that I believed provided valuable insights.

thrift.ai