smith-garrett

dependency_embeddings

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

PyRNN

Playing around with neural networks in python.

AMLaP2020Submission

BinaryHypervectors.jl

Tools for hyperdimensional computing with binary vectors

FirstPassageTools.jl

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

simplified-seam-amlap-2023

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

SmithFranckTabor2018

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

sosp_simple

A Python package for running single-word SOSP simulations

Uniformization.jl

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

fptools

Tools for first-passage time analyses

General

The official registry of general Julia packages

HybridDynamicalSyntax

MLFun

mparse_intro

MyStatsPackage

SimTech summer school exercises

ParetoSmooth.jl

An implementation of PSIS algorithms in Julia.

smith-garrett.github.io

Smith2018DissertationModels

SOSP simulations from Smith (2018) dissertation.

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

SOSPDev

Self-organized sentence processing

spec_context

Dependency-based embeddings with lexically specific contexts

Turing.jl

Bayesian inference with probabilistic programming.