Robert Young's repositories
Finding-Donors-for-CharityML
Investigated factors affecting likelihood of donations being made using real census data. Developed naive classifier to compare testing results. Trained & tested several supervised machine learning models on preprocessed census data to predict donation likelihood. Selected best model based on accuracy, modified F-score metric, & algo efficiency.
Machine-Learning-Capstone
Machine Learning Capstone training a convolution neural network to solve the Kaggle Competition - Invasive Species Monitoring.
dublin-bus-journey-planner
Real time journey planner for Dublin Bus (Ireland). Uses ML techniques to predict journey times, implemented with Django framework.
sidewalk-panorama-tools
Collection of tools for fetching and processing Street View imagery, adapted from code by @kotarohara
Train-a-Smartcab-to-Drive
Applied reinforcement learning to build a simulated vehicle navigation agent. This project involved modelling a complex control problem in terms of limited available inputs, and designing a scheme to automatically learn an optimal driving strategy based on rewards and penalties.
Awesome-Profile-README-templates
A collection of awesome readme templates to display on your profile
BASH-Database-Management-System
Implementation of a rudimentary Database Management System (DBMS) server and clients who interact with this DBMS. Written and executed using Bash (Unix shell).
Battleship
Recreation of the game "Battleship" through Java.
dog-project-master
Built an algorithm to identify canine breed given an image of a dog. If given image of a human, the algorithm identifies a resembling dog breed.
dublin-bikes-occupancy-app
Dublin Bikes station finder with real time available bike numbers. Uses ML models to predict bike availability hourly up to one week in advance. Implemented with Flask framework.
charity-website
Assignment 1 of Web App Development course - create a charity website.
Creating-Customer-Segments
Reviewed unstructured data to understand the patterns and natural categories that the data fits into. Used multiple algorithms and both empirically and theoretically compared and contrasted their results. Made predictions about the natural categories of multiple types in a dataset, checked predictions against the result of unsupervised analysis.
Folder-Structure-Conventions
Folder / directory structure options and naming conventions for software projects
Grokking-Deep-Learning
this repository accompanies the book "Grokking Deep Learning"
HoloLens2ForCV
Sample code and documentation for using the Microsoft HoloLens 2 for Computer Vision research.
luis-batch-test-scraper-public
Web scraper in Python using Selenium to extract batch test results from Microsoft Luis dashboard and saves them in CSV format.
Maze-Runner
Program that navigates through a given maze.
MixedReality-SceneUnderstanding-Samples
Source code for a Unity sample application that demonstrates Scene Understanding for HoloLens 2.
OddsOrEvens
Project written in Java based on Microsoft DEV276x Project 2. Here's a clip of the game being played that the project is based on: https://youtu.be/4ZOLs03vILs?t=1m
robertyoung2.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Trip-Planner
Program written in Java that asks the user for some information about an international trip they are taking. Based on that information it carries out conversions, using the correct data types, telling them some information to help them plan their trip.
Windows-universal-samples
API samples for the Universal Windows Platform.
windows-uwp
Conceptual and overview content for developing Microsoft Universal Windows Platform (UWP) apps
WinMLExperiments
This is a Unity Project for HoloLens used in the conference sessions by Rene Schulte presented at Build 2018 and more. http://rene-schulte.info
YOLOv4-Cloud-Tutorial
This repository walks you through how to Build and Run YOLOv4 Object Detections with Darknet in the Cloud with Google Colab.