shanest Goto Github PK
Name: Shane Steinert-Threlkeld
Type: User
Company: Department of Linguistics
Location: University of Washington
Blog: http://shane.st
Name: Shane Steinert-Threlkeld
Type: User
Company: Department of Linguistics
Location: University of Washington
Blog: http://shane.st
Take CCG parses and add monotonicity information on every constituent
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.
Lecture notes for a course on Decision and Game Theory for undergraduates studying AI
A minimal re-implementation of the PyTorch API (forward/backward autodifferentiation), intended for pedagogical uses
Predict the most suitable quantifier for a given linguistic context
Code and data for paper (to be) submitted to JoLLI
Signaling games with function words amidst contextual variability
Implementations of Godel's Beta Function in assorted languages
Awesome autocompletion and static analysis library for python.
Using the jedi autocompletion library for VIM.
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)
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.
Accompanies the paper "Neural Models of the Psychosemantics of 'most'": trains neural models of visual attention to replicate varoius cognitive tasks
Natural Language Processing Research in North American Linguistics Departments
A tutorial introduction to neural networks, with an eye towards linguistic applications.
A bookmarklet that saves the current page and/or highlighted text to Obsidian.md
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.
Visualize constituent and dependency parses as PDF or image formats, through GraphViz.
JavaScript 3d rendering engine.
Short Python tutorial for CLMS orientation
Accompanies the paper "Learnability and Semantic Universals" ; trains recurrent neural networks to learn to verify sentences with quantifiers in order to explain semantic universals
Simple code for running and visualizing replicator dynamics
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.
Code for a project on relation between scaling parameter in scale-free networks and size of protests
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.