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01_expert

cogs

data_generation

dis.symmetry

Symmetry across disjunctions

explaining-away

i-loder-matthew

Config files for my GitHub profile.

lazimpa

Code for the paper LazImpa: Lazy and Impatient neural agents learn to communicate efficiently. Mathieu Rita, Rahma Chaabouni and Emmanuel Dupoux (CoNLL 2020)

learnability-of-disjunction

Semantics I final project exploring learnability of languages in relation to a purported universal for disjunction

maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

mturk-tutorial

Tutorial on how to run cognitive science experiments on the Amazon Mechanical Turk platform.

nn-tutorial

A tutorial introduction to neural networks, with an eye towards linguistic applications.

opennmt-py

Open Source Neural Machine Translation and (Large) Language Models in PyTorch

prob-tools

pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

quantifier-rnn-learning

Accompanies the paper "Learnability and Semantic Universals" ; trains recurrent neural networks to learn to verify sentences with quantifiers in order to explain semantic universals

rcourse_lesson5

R code for R for Publication: Lesson 5.

rcourse_lesson6

R code for R for Publication: Lesson 6, Parts 1 and 2.

thinkcomplexity2

Book and code for Think Complexity, 2nd edition

tufte-jekyll

Minimal Jekyll blog styled to resemble the look and layout of Edward Tufte's books