Pinned Repositories
modal-typology
ultk
A library for research in unnatural language semantics
color-learning
Accompanies the paper, "Ease of learning explains semantic universals". Generates and trains neural networks on artificial color systems, showing that _degree of convexity_ explains accuracy.
decisions-games-ai
Lecture notes for a course on Decision and Game Theory for undergraduates studying AI
edugrad
A minimal re-implementation of the PyTorch API (forward/backward autodifferentiation), intended for pedagogical uses
mathnetics
A mathematical toolkit for Javascript. Includes Sets, Groups, Vectors, Matrices, Planes, etc. Currently supports 3D rendering in SVG, but this will probably be phased out.
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
replicator_dynamic_examples
Simple code for running and visualizing replicator dynamics
responsive-verbs
Accompanies the paper, "An Explanation of the Veridical Uniformity Universal"; trains neural networks to learn so-called responsive verbs in order to explain a semantic universal.
shanest's Repositories
shanest/decisions-games-ai
Lecture notes for a course on Decision and Game Theory for undergraduates studying AI
shanest/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
shanest/replicator_dynamic_examples
Simple code for running and visualizing replicator dynamics
shanest/color-learning
Accompanies the paper, "Ease of learning explains semantic universals". Generates and trains neural networks on artificial color systems, showing that _degree of convexity_ explains accuracy.
shanest/edugrad
A minimal re-implementation of the PyTorch API (forward/backward autodifferentiation), intended for pedagogical uses
shanest/allennlp-bert-example
shanest/function-words-context
Signaling games with function words amidst contextual variability
shanest/nn-tutorial
A tutorial introduction to neural networks, with an eye towards linguistic applications.
shanest/responsive-verbs
Accompanies the paper, "An Explanation of the Veridical Uniformity Universal"; trains neural networks to learn so-called responsive verbs in order to explain a semantic universal.
shanest/GodelBeta
Implementations of Godel's Beta Function in assorted languages
shanest/OntologyCV
Files for a computational biology project to extract a cardiovascular ontology from Foundational Model of Anatomy and use it to label a left ventricle atlas and then locate regions of interest in experiments.
shanest/SimInf_Quantifiers
shanest/learning-evolution-compositionality
Companion to the paper: Shane Steinert-Threlkeld, "Compositional Signaling in a Complex World", Journal of Logic, Language, and Information, vol 25 no 3, pp. 379-397 (DOI: 10.1007/s10849-016-9236-9)
shanest/neural-vision-most
Accompanies the paper "Neural Models of the Psychosemantics of 'most'": trains neural models of visual attention to replicate varoius cognitive tasks
shanest/scale-free-protest
Code for a project on relation between scaling parameter in scale-free networks and size of protests
shanest/ccg2mono
Take CCG parses and add monotonicity information on every constituent
shanest/fill-in-the-quant
Predict the most suitable quantifier for a given linguistic context
shanest/function-word-signaling
Code and data for paper (to be) submitted to JoLLI
shanest/jedi
Awesome autocompletion and static analysis library for python.
shanest/jedi-vim
Using the jedi autocompletion library for VIM.
shanest/mondrian
shanest/nlp-in-ling
Natural Language Processing Research in North American Linguistics Departments
shanest/non-trivial-modification
shanest/obsidian-clipper-bookmarklet
A bookmarklet that saves the current page and/or highlighted text to Obsidian.md
shanest/parseviz
Visualize constituent and dependency parses as PDF or image formats, through GraphViz.
shanest/python-tutorial-clms
Short Python tutorial for CLMS orientation
shanest/shanest.github.io
shanest/SimInf_Quantifiers_forked
shanest/stringer
Package of utilities for working with Strings in Mojo
shanest/tensorflow
Computation using data flow graphs for scalable machine learning