smith-garrett Goto Github PK

amlap2020submission

binaryhypervectors.jl

Tools for hyperdimensional computing with binary vectors

dependency_embeddings

Generate dependency-based head and dependent feature vectors using (P)PMI

firstpassagetools.jl

Tools for working with first-passage time distributions for continuous-time, discrete-state Markov processes

fptools

Tools for first-passage time analyses

general

The official registry of general Julia packages

hybriddynamicalsyntax

mlfun

mparse_intro

mystatspackage

SimTech summer school exercises

pyrnn

Playing around with neural networks in python.

simplified-seam-amlap-2023

Julia implementation of the Simplified SEAM model of eye-movement control and syntactic dependency completion

smith-garrett.github.io

smith2018dissertationmodels

SOSP simulations from Smith (2018) dissertation.

smithfrancktabor2018

Human data and model from Smith, Franck, & Tabor (accepted)

smithtaborcuny2019

Poster and simulations for Smith & Tabor (2019; CUNY poster)

smithtaboriccm2018

Paper presented at ICCM 2018

sosp

A Python package for running SOSP simulations

sosp_incremental

A Python package for running multi-word SOSP simulations

sosp_simple

A Python package for running single-word SOSP simulations

sospdev

Self-organized sentence processing

spec_context

Dependency-based embeddings with lexically specific contexts

turing.jl

Bayesian inference with probabilistic programming.

uniformization.jl

A Julia package for solving continuous-time Markov chains using the uniformization/randomization method