Name: Michael Hutchinson
Type: User
Company: University of Oxford
Bio: Hi I'm Michael!
I'm interested in machine learning, particularly the Bayesian flavour (uncertainty is a necessity, not a nice-to-have feature).
Location: United Kingdom
Blog: MJHutchinson.github.io
Michael Hutchinson's Projects
Combined scenarios for COVID transmission
Code and report for a 3rd year extended project to extend the encoding of the Huffman and Arithmetic encoding algorithms to arbitrary base
4M17 coursework 2 algorithm implementation
Arduino Projects
Implementation of the bayes by backprop paper
Code to train and evaluate flexible MLP structure Bayesian Neural Networks using Variational Inference on UCI datasets.
Based off the initial code fro Robert Miles an extension and expansion into more complicated rhythmic patterns, key and chord options, and more...
Cansat ground station software for OSSO 2015
Code to pull data out of the google mobility report pdfs into csv format, plus all data preprocerssed in this way.
A project centred around reconstructing images from ct scan data, turning this into a 3d model and manipulating the model
Software for simple data streaming of data received via serial port of network interface, displayed on graphs of charts.
Repo for my first StatML miniproject, looking at distributed Bayesian Learning
A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes
Basic experiment framework for tensorflow.
Utility to scrape google scholar for citation data
Implementation of the Gaussian Process Autoregressive Regression Model
Perform Bayesian optimisation on the final performance of some system that can have its performance tracked throughout its lifetime
IDP Robotic control software
A variety of algorithms to solve mazes from an input image
AR mod for minecraft overlays
Personal Website
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
Implementation of neural processes and a number of extensions in pytorch for StatML 2019 Statistical Machine Learning course
Node editor designed for neural net creation