stulacy Goto Github PK

andrewmarrequality

Code and data accompanying blogpost looking at gender equality on The Andrew Marr Show

atchem2

Atmospheric chemistry box-model for the MCM

bmm-mcmc

Gibbs sampling for multi-variate Bernoulli Mixutre Models

brits

camelup-solver

Calculates leg outcome probabilities by simulation for the boardgame CamelUp

dlbclgenomicsubtyping

Code and data used in the paper "Targeted sequencing in DLBCL, molecular subtypes, and outcomes: a Haematological Malignancy Research Network report"

dpbernoullimixture

Bayesian modelling of Infinite Bernoulli Mixtures using Dirichlet Processes in pymc3

envirologgerr

An R Interface to the Envirologger API

epitab

Produce contingency tables for use in epidemiology in R

faculty-dev-docker-images

Docker images used in CI pipelines

fallouthack

Solver for the hacking minigames in Fallout 3 and Fallout New Vegas written in Python.

filters

Rcpp implementation of common time-series analysis filters

hugo-academic

📝 The website builder for Hugo. Build and deploy a beautiful website in minutes!

keras-yolo3

Training and Detecting Objects with YOLO3

maucpy

Multi-Objective Area Under Curve in Python

msm-shiny

A Shiny web app for building, comparing, and visualising multi-state time-to-event models.

multistateutils

Utility funtions for parametric multi-state modelling in R

n-beats

N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project that was started at Element AI.

n-beats2

Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

naniar

Tidy data structures, summaries, and visualisations for missing data

openair

Tools for air quality data analysis

openalpr

Automatic License Plate Recognition library

paper_2019_iml_measures

Quantifying Interpretability of Arbitrary Machine Learning Models Through Functional Decomposition

personal-website

Source of stuartlacy.co.uk

prepplot

A loose collections of functions to prepare plots in R

pymc3

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

qpdfgui

Front-end for qpdf for Windows

rdes-shiny

Web-app frontend for the RDES discrete event simulation package

researchcodingclub.github.io

Research Coding Club for the University of York

rgcxgc

An R package for preprocessing and Multivariate Analysis of Two-dimensional Gas Chromatography Data