chrisbrownlie Goto Github PK

advancedshiny

R package containing an R Shiny application which showcases some intermediate & advanced shiny methods

anatomy_of_shiny_sip23

Slides for my talk 'Anatomy of a shiny app' at Shiny in Production, 13th October 2023

bioplausible-deep-learning

MSc Data Science dissertation project - biologically plausible neural networks and deep learning as a model of the brain

brain-score

A framework for evaluating models on integrative brain measurements

chrisbrownlie.github.io

covid19-human-response

The code used to generate graphs and analysis from my Data Slice blog series 'The Human Response to COVID-19'.

directrandomtargetprojection

PyTorch-based code for training fully-connected and convolutional networks using backpropagation (BP), feedback alignment (FA), direct feedback alignment (DFA), and direct random target projection (DRTP).

facebook-data-analysis

Analysis of my personal facebook data, code and visualisations used in my blog post series "What does Facebook know about me?"

fantasy

R package Fantasy Premier League API Wrapper

graphichat

R Shiny app for visualising Whatsapp chat data

lumos

R package and app for exploring stage lighting in candelit theatres

model-tools

Helper functions to extract model activations and translate from Machine Learning to Neuroscience

myfacebook

Simple helper functions for reading your Facebook data download into R

neuralnet

Implementing neural networks from scratch or with minimal dependencies

oop-wg

Collaboration space for the Object-oriented Programming Working Group

personal_site

R package containing the shiny app for my personal website chrisbrownlie.com

pickatable

Shiny app to help with picking a display table in R

qualtrics

Download ⬇️ Qualtrics survey data directly into R!

scriptsearch

R Package containing a simple shiny app for quickly searching through scripts or word documents

surveyr

An R package for quick and easy analysis of survey response data - particularly free text responses to open-ended questions.

theoretical_framework_for_target_propagation

Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation

whatsapp-analysis-blogpost

The code used in my article "3.5 years of a relationship in Whatsapp messages".