kachergis Goto Github PK

response-xsl

Kachergis, G. and Yu, C. (2017). Observing and modeling developing knowledge and uncertainty during cross-situational word learning. IEEE Transactions on Cognitive and Developmental Systems.

rlarm

explaining RL agents' reaching behavior with movement penalty curriculum

sentence-transformers

Multilingual Sentence & Image Embeddings with BERT

set_expt

start of an experiment based on Set Jr

simple-curiosity

implement Pelz et al. 2015 moel

stack-rnn

This is the code used for the paper "Inferring algorithmic patterns with a stack augmented recurrent network", by Armand Joulin and Tomas Mikolov.

swadeshcdi

tcds_nap_classifier_paper

textract

extract text from any document. no muss. no fuss.

trajectory-srt

task code, data, and analysis code for Kachergis et al. 2014 trajectory-SRT replication of Nissen and Bulemer (1987)

trajectory-stat-learning

code and data for: G. Kachergis, F. Berends, R. de Kleijn, B. Hommel (2014). Reward effects on sequential action learning in a trajectory serial reaction time task. IEEE Conference on Development and Learning / EpiRob 2014.

trajsrtjs

validator

Data upload validator (shiny app)

website

source for website

word_learning_models

A collection of cross-situational word learning models and data from my Cognitive Science/Psychology research.

wordseek

xsl-datasets

xslmodels

R package for running and optimizing cross-situational word learning models..