Name: Marcus September
Type: User
Company: Imperial College London
Bio: BA (hons) in Computer science. Currently doing a MSc in Statistics (Data Science). Interested in data science, machine learning, and algorithms
Location: Norway
Blog: http://marcusgh.github.io
Marcus September's Projects
Explores adversarial attacks on ImageNet. Part of a Deep Neural Networks assignment at the University of Cambridge.
Self-study on Larry Wasserman's "All of Statistics"
caesar encryption
Calculator
Test whether a given coin system is canonical or not bases on its denominators.
dotfiles
Part of a Data Science assessment at Imperial College London
Contains the implementation of the EDAIN and EDAIN-KL methods proposed in our paper. The research was also part of the MSc thesis I wrote in collaboration with American Express as part of my MSc in Statistics (Data Science) at Imperial College London
Investigating the GDPR compliancy of EU websites using data from the HTTP Archive
Join the GitHub Graduation Yearbook and "walk the stage" on June 11.
A test repository
A test for html5 code
Repository for sharing stuff
A parallel algorithm for all-pairs shortest paths that minimises data movement. Final year project at the University of Cambridge.
Here are my solutions to the five different tasks.
Mine løsninger til runde 2 oppgavene fra NIO 2018/2019.
En nettside som lar deg øve på nynorsk verb.
A (relatively) fast algorithm that finds the lowest perfect number higher than a given number
A Python module for collecting helper functions used in the prediction of UK property prices, following the Fynesse framework.
A game made at a game jam by Nikola Georgiev, Max Johnson, and Marcus September.
Attempt at making a game in Unity.
A script that embeds media files, stored locally with the html file, into the html file itself such that it's more portable.