babymind-project Goto Github PK

adopy

Adaptive Design Optimization for Experimental Tasks

alvr-esa

arithmetic-experiment-cli

arithmetic-mlp

We implement a multilayer perceptron (MLP) that learns arithmetic operations: addition, subtraction, multiplication, division, and modulo. This implementation was used in the CogSci 2019 paper titled "Problem Difficulty in Arithmetic Cognition: Humans and Connectionist Models".

babymind-project.github.io

babymind19

code development for babymind2019

dan-visdial

PyTorch Implementation for EMNLP'19 "Dual Attention Networks for Visual Reference Resolution in Visual Dialog"

dlac

emi

Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.

gaussian-ram

Official PyTorch implementation of the paper: "Gaussian RAM: Lightweight Image Classification via Stochastic Retina Inspired Glimpse and Reinforcement Learning"

hbayesdm

Hierarchical Bayesian modeling of RLDM tasks, using R & Python

lena_evaluation

Code for 'Evaluating the LENA System for Korean'

parsimonious-blackbox-attack

Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization (ICML 2019)

radar

tops

Codes and datasets for "A neuroimaging biomarker for sustained experimental and clinical pain"

veca

Public repository for VECA environment.