reecejrobertson Goto Github PK
Name: Reece Robertson
Type: User
Bio: I am a PhD student studying Computer Science with an emphasis in Quantum Computing and Machine Learning. I love solving problems with code.
Name: Reece Robertson
Type: User
Bio: I am a PhD student studying Computer Science with an emphasis in Quantum Computing and Machine Learning. I love solving problems with code.
A deep reinformenent learning agent for Copenhagen Hnefatafl.
In this paper, we use a finite difference method to analyze a wildfire system. We perform Dimensional Analysis to simplify the system and numerically approximate solutions to the equa- tions. We examine the width required for a firebreak to effectively stop the spread of a fire under different conditions, including the presence and absence of wind.
We analyze Utah housing data in an attempt to determine if au- thorizing more housing will decrease the housing price. We use sev- eral models to attempt to predict this, including ARIMA, VARIMA, “ARIMA Forest” (a model of our own creation), and Kalman Filter.
A quantum computing emulator for my undergraduate senior thesis. This performs high level quantum subroutinues using optimized classical algorithms, as opposed to quantum simulators that perform all operations via matrix multiplications.
A personal quantum computing simulator to aid my algorithm development projects.
In middle school, I played a game with my friends. We would go to a random article on Wikipedia, and then attempt to get to Jesus by clicking on hyperlinks embedded in the article. The legend was that one could get from any article to Jesus in seven clicks or less. This project was created to find out if this is true.
Our objective is to use machine learning to create a model that will recommend new words to missionaries learning Spanish based on the words that they have already studied. We test two potential models and recommend the best one for use in the app.
Relevant scripts and data for the paper "Supervised learning of random quantum circuits via scalable neural networks"
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.