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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.

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.

crypto

Project in Java using methods to encrypt and decrypt text.

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.

dublin-bus-journey-planner

Real time journey planner for Dublin Bus (Ireland). Uses ML techniques to predict journey times, implemented with Django framework.

facial-keypoint-detection

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.

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.

machine-learning-capstone

Machine Learning Capstone training a convolution neural network to solve the Kaggle Competition - Invasive Species Monitoring.

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.

object-detection-project-sidewalk

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

robertyoung2.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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.

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.