Aidan Scannell
Aidan Scannell
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Posts
A Template for Writing Reproducible ML Papers
I created a repository with a basic template for making a reproducible research paper. See the
README
for up to date info on how to use the template.
Aidan Scannell
Mar 3, 2023
2 min read
One Keyboard to Rule Them All - I Built a Dactyl Manuform
After the first lockdown here in the UK, I decided that building a keyboard would make a good lockdown 2.0 project. I’ve had my eye on the dactyl manuform for a while so I took the plunge and ordered all of the parts.
May 9, 2021
3 min read
Creating a CV/Resume in Org-Mode using LaTeX Templates
Over the last few years I have been trying to find the best tools for managing my CV/resume. Previously I was maintaining a JSON file that I could export to pdf/html using JSON Resume and HackMyResume.
Dec 1, 2020
10 min read
PDF
Code
Setting Up an Emacs Playground on MacOS - Emacs Mac Port | Chemacs | Emacsclient | Spacemacs
This is a short post detailing how I installed Emacs and configured an environment for maintaining multiple configurations (on my MacBook Pro). I wanted to write the post because I have been on a roller coaster getting an Emacs install that provides all of the functionality that I want (maybe even need!
Mar 29, 2020
7 min read
How RSI Made Me a Better Developer
I’ve wanted to write a blog post about my journey with repetitive strain injury (RSI) for quite a while now. I’d been putting it off because the amount of content that I wanted to include seemed to be increasing exponentially with time.
Aidan Scannell
Jan 1, 2020
22 min read
Gaussian Process Regression
This post introduces the theory underpinning Gaussian process regression and provides a basic walk-through in python.
Aidan Scannell
Oct 1, 2019
22 min read
Project
Welcome to Emacs Anonymous, Sorry, My Blog
Hello and welcome to my blog. I am an aspiring researcher (aka phd student) with interests at the intersection of robotics and machine learning. I am particularly interested in uncertainty quantification in ML and as a result spend a significant amount of time with Bayesian non-parametric methods, specifically Gaussian processes.
Sep 16, 2019
1 min read
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