JMankewitz

JMankewitz's Stars

• psychopy/psychopy

  For running psychology and neuroscience experiments

  Language:Python1.7k908

• kachergis/cdi-percentiles

  Scoring app for CDI:WS and CDI:WG based on 2022 American English norms

  Language:R1

• smeylan/childes-db-derived

  Django app for populating derived datasets in childes-db

  Language:Python11

• mhtess/rwebppl

  RWebPPL, an R interface to Webppl http://webppl.org

  Language:R227

• hawkrobe/elves

  Language:Python1

• lil-lab/kilogram

  The KiloGram Tangrams dataset

  Language:Jupyter Notebook517

• JMankewitz/baby-info

  An eyetracking experiment measuring toddlers' sensitivity to informativity

  Language:HTML1

• tjmahr/lookr

  Scripts for looking-while-listening and visual-world eyetracking experiments

  Language:R72

• sean-public/RecipeFilter

  Browser extension that focuses recipes front and center on food blogs

  Language:JavaScript29551

• FreshRSS/FreshRSS

  A free, self-hostable news aggregator…

  Language:PHP9.8k839

• Limor-Raviv/Tutorial_Agent_Based_Models

  A Tutorial for Agent Based Models in Python

  Language:Jupyter Notebook16170

• vboyce/AA-flowers

  Language:Jupyter Notebook2

• mikabr/aoa-pipeline

  Language:TeX11

• CornellNLP/ConvoKit

  ConvoKit is a toolkit for extracting conversational features and analyzing social phenomena in conversations. It includes several large conversational datasets along with scripts exemplifying the use of the toolkit on these datasets.

  Language:Jupyter Notebook550125

• dicksondickson/PlantFriends

  Plant Friends

  Language:Arduino6911

• peekbank/peekbank-data-import

  A collection of R scripts that turn raw datasets into the peekds format ready for ingestion by the peekbank

  Language:R23

• dgrtwo/data-screencasts

  Code from live exploratory analyses of data in R

  Language:R380145

• rfordatascience/tidytuesday

  Official repo for the #tidytuesday project

  Language:HTML6.9k2.4k

• PatwinchIR/WordSense

  A web app that allows annotators to annotate words with its meanings for data collected in CHILDES-DB.

  Language:Jupyter Notebook3

• MollicaF/WordLearningBDA

  Code from Mollica & Piantadosi (2017). How data drives early word learning: a cross-linguistic waiting time analysis. Open Mind.

  Language:HTML1