Woo-Young Ahn (youngahn)

youngahn

Geek Repo

Company:Seoul National University

Location:Seoul, Korea

Home Page:ccs-lab.github.io

Twitter:@wooyoungahn

Github PK Tool:Github PK Tool


Organizations
CCS-Lab

Woo-Young Ahn's starred repositories

hBayesDM

Hierarchical Bayesian modeling of RLDM tasks, using R & Python

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BrainSpace

BrainSpace is an open-access toolbox that allows for the identification and analysis of gradients from neuroimaging and connectomics datasets | available in both Python and Matlab |

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stat_rethinking_2022

Statistical Rethinking course winter 2022

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SIT

Code and data for Zhang & Gläscher (2020)

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psychmeta

Psychometric meta-analysis toolkit

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neuroconda

Conda environment for neuroimaging analysis in python, R, etc

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brms

brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

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PyMVPA

MultiVariate Pattern Analysis in Python

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DeepImageReconstruction

Data and code for Shen, Horikawa, Majima, and Kamitani (2019) Deep image reconstruction from human brain activity. PLoS Comput. Biol. http://dx.doi.org/10.1371/journal.pcbi.1006633.

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GenericObjectDecoding

Demo code for Horikawa and Kamitani (2017) Generic decoding of seen and imagined objects using hierarchical visual features. Nat Commun https://www.nature.com/articles/ncomms15037.

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adopy

Adaptive Design Optimization for Experimental Tasks

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arviz

Exploratory analysis of Bayesian models with Python

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baby-a3c

A high-performance Atari A3C agent in 180 lines of PyTorch

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Haines_CVML_2018

Data and codes used for primary analyses in Haines et al. (2019, PLOS ONE) Using computer-vision and machine learning to automate facial coding of positive and negative affect intensity

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DS8R_matlab

DS8R Matlab API manual

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DS8R_python

An unofficial Python package for Digitimer DS8R current stimulator.

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Data-Analysis

Data Science Using Python

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bids-b0-tools

Scripts, tools, and documents on creating, parsing, and working with BIDS-structured data sets.

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python-guide

Python best practices guidebook, written for humans.

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analysis-nda

Collection of scripts to analyze ABCD release data

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fmriprep

fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.

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trialr

Clinical Trial Designs in R & RStan

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rstats-ed

List of courses teaching R

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dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

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IGT

R codes used in Haines, Vassileva, & Ahn (2018; Cognitive Science) for developing a new Iowa Gambling Task model

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iccs2019.github.io

iccs2019 conference page

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PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

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sklearn_tutorial

Materials for my scikit-learn tutorial

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