reece-iriye Goto Github PK
Name: Reece Iriye
Type: User
Bio: Math, Machine Learning, DevOps | Network Automation Engineer @ Verizon
Location: Dallas, TX
Name: Reece Iriye
Type: User
Bio: Math, Machine Learning, DevOps | Network Automation Engineer @ Verizon
Location: Dallas, TX
Group projects for CS 8321.
CS 5323: Mobile Apps Sensing & Learning In-Class Assignment 2
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.
iOS App deployment for banging hand on floor and identifying direction of hand with respect to phone using Machine Learning.
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.
Applied a ResNet model to classify the existence of types of tumors in brains based on MRI scans of them.
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.
An example using UIKit for a class at SMU on iOS sensor development. This is used for flipped module one.
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
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.
Python API for Fashionpedia Dataset
Using Core Image and OpenCV in iOS to detect faces and read heartbeats of a user with the iPhone's built-in flashlight.
Tutorials for the Kokkos C++ Performance Portability Programming EcoSystem. Documentation here: https://kokkos.github.io/kokkos-core-wiki/
Dove deep into the context of a dataset from Kaggle containing extensive information (around 36 features) on around 150,000 loan applicants.
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.
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.
Coded a multilayer perceptron from scratch allowing for dynamic layer instantiation.
Neovim configuration. Version control, custom keymappings for spacing, LSP servers, debugging, and compatibility with tmux supported.
Using front-end and back-end tools of my choosing to build a unique personal website.
Script for PQR file generation for protein-ligland bonding PDB-Bind+ data. Requires directory structure for data.
Coded QR and QL Decomposition functions using Householder reflectors and Gram-Schmidt for MATH 6316: Numerical Linear Algebra @ SMU.
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"
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.
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.
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.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.