vveitch

causal-text-embeddings-tf2

Tensorflow 2 implementation of Causal-BERT

causal-network-embeddings

Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"

causality-tutorials

Short tutorials on the use of machine learning methods for causal inference

causal-embeddings

Code for "Using Embeddings to Correct for Unobserved Confounding"

paper-template

Template for structuring the repo associated w/ a paper

community_detection

Code relating to community detection in graphs

quantum_information

The intention is that this will hold the various snippets of code I wrote for my quantum information work. Mostly dealing with magic state distillation and wigner functions. This code was never originally intended to see the light of day, so make use of it at your own risk.

onlineldavb

Online variational Bayes for latent Dirichlet allocation (LDA)

bert

TensorFlow code and pre-trained models for BERT

CSrankings

A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

cv

Latex using ClassicThesis, provided as an example of such

genetics_code

learning_haskell

Code I have written while teaching myself Haskell (mostly Project Euler)

learning_r_shiny

Working through the r shiny tutorial

misc_notes

miscellaneous notes that I have produced; mostly math lectures

OO_R_Shiny_dev

RShiny applications and learning activities for Ontario Online intro stats course (see http://sta220.utstat.utoronto.ca/)

PeerRead

Data and code for Kang et al., NAACL 2018's paper titled "A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications"

personal_website

code for a personal website

phd_thesis

relational-ERM

Software relating to relational empirical risk minimization

vveitch.github.io

minimalist blog

wikipedia_editing

For articles and code I produce for Wikipedia.