MJHutchinson

3F7-Non-binary-compresson-algorithms

Code and report for a 3rd year extended project to extend the encoding of the Huffman and Arithmetic encoding algorithms to arbitrary base

4M17-2-Optimisation-Alg

4M17 coursework 2 algorithm implementation

covid19-google-mobility-extractor

Code to pull data out of the google mobility report pdfs into csv format, plus all data preprocerssed in this way.

ExtrinsicGaugeIndependentVectorGPs

A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes

MinecraftAR

AR mod for minecraft overlays

neural-processes

Implementation of neural processes and a number of extensions in pytorch for StatML 2019 Statistical Machine Learning course

SteerableCNP

DP-PVI

tti-explorer

Simulation software for exploring test, trace and isolate strategies

MJHutchinson/ExtrinsicGaugeIndependentVectorGPs

A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes

MJHutchinson/neural-processes

Implementation of neural processes and a number of extensions in pytorch for StatML 2019 Statistical Machine Learning course

MJHutchinson/covid19-google-mobility-extractor

Code to pull data out of the google mobility report pdfs into csv format, plus all data preprocerssed in this way.

MJHutchinson/SteerableCNP

MJHutchinson/3F7-Non-binary-compresson-algorithms

Code and report for a 3rd year extended project to extend the encoding of the Huffman and Arithmetic encoding algorithms to arbitrary base

MJHutchinson/4M17-2-Optimisation-Alg

4M17 coursework 2 algorithm implementation

MJHutchinson/BayesMLP

Code to train and evaluate flexible MLP structure Bayesian Neural Networks using Variational Inference on UCI datasets.

MJHutchinson/CT-Scan-3rd-year-project

A project centred around reconstructing images from ct scan data, turning this into a 3d model and manipulating the model

MJHutchinson/LieConv

MJHutchinson/PytorchBayes

Pytorch implementation of Bayesian Neural Networks, trained with Variational Inference

MJHutchinson/PytorchPrivacy

Implementation of various utilities for performing Differential Privacy operations in PyTorch.

MJHutchinson/2020-cov-tracing

Combined scenarios for COVID transmission

MJHutchinson/bayesbybackprop

Implementation of the bayes by backprop paper

MJHutchinson/distributed-bayesian-learning

Repo for my first StatML miniproject, looking at distributed Bayesian Learning

MJHutchinson/DP-PVI

MJHutchinson/forge

Basic experiment framework for tensorflow.

MJHutchinson/GoogleScholarWebscraping

Utility to scrape google scholar for citation data

MJHutchinson/gpar

Implementation of the Gaussian Process Autoregressive Regression Model

MJHutchinson/GPAR_Architecture_Search

Perform Bayesian optimisation on the final performance of some system that can have its performance tracked throughout its lifetime

MJHutchinson/logml-stringtheory

MJHutchinson/Masters-Thesis

MJHutchinson/michigan-covid-data

MJHutchinson/MJHutchinson.github.io

Personal Website

MJHutchinson/nasbot

Neural Architecture Search with Bayesian Optimisation and Optimal Transport

MJHutchinson/personal-website

📝 Easily create a beautiful website using Academic, Hugo, and Netlify

MJHutchinson/personal-website-old

Code that'll help you kickstart a personal website that showcases your work as a software developer.

MJHutchinson/schuller-geometric

Source code for lecture notes

MJHutchinson/submitit

Python 3.6+ toolbox for submitting jobs to Slurm

MJHutchinson/TransferThesis

LaTeX template for an Oxford University thesis

MJHutchinson/typst-theorems

An implementation of numbered theorem environments in typst