An assortment of Machine Learning experiments, using active learning for classification tasks.
an Active Record plugin that makes it easier to work with the money gem
A pure Ruby implementation of the Aho-Corasick string matching algorithm
An ansible playbook for launching a mesos cluster with docker and marathon support.
Ansible role to install a hadoop cluster
A Relational Algebra
LRUG Ruby Fight Club for October
An attempt to learn more about Bayesian Stats, by writing a Scala library.
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Code for my attempts at the homework for the Caltech Learning from data course: http://work.caltech.edu/telecourse.html. Beware - hacky and awful, and almost cetainly incorrect in places!
Experiments in using a chrome extension to capture navigation history for context-sensitive IR
For creating detailed reports of CKAN analytics, sliced by group
A simple web-based text classifier, based on the Naive Bayes Classifier algorithm
cli library atop of trollop
A set of exercises for learning Clojure
A spider/scraper of ratebeer.com, in python
A DSL for describing concurrent tasks in EventMachine
Functional Programming Course
My Mum and Dad's website - entirely designed and developed by my Mum!
BDD that talks to domain experts first and code second
Provides a way to specify default values for ActiveRecord models
Formtastic form builder for Devise
New Data.gov.uk site usage analytics dashboard
My MSc Dissertation - A DSL for agent-based simulation in Haskell, along with a case study of its use - modelling the effects of rate-limiting orders in a simple limit order book.
My dotfiles (part deux)