GakyungKim
Hi, I am Gakyung Kim. I am interested in humans as social beings. I aspire to study how people make sense of the social world and construct abstract thoughts.
Seoul National UniversitySeoul, Korea
Pinned Repositories
3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
ABCD
ABCD-3DCNN
afterglow-theme
A minimal dark Theme for Sublime Text 2 and 3
BayesCog_v0.2
brain-surf-cnn
BrainSurfCNN for individualized prediction of task contrasts from resting-state functional connectivity
course-content
NMA Computational Neuroscience course
deep-learning-with-r-notebooks
R notebooks for the code samples of the book "Deep Learning with R"
EDM_CognitiveLoad
hcp2bids
To convert Human Connectome projects(HCP) data to BIDS std
GakyungKim's Repositories
GakyungKim/course-content
NMA Computational Neuroscience course
GakyungKim/hcp2bids
To convert Human Connectome projects(HCP) data to BIDS std
GakyungKim/3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
GakyungKim/ABCD
GakyungKim/ABCD-3DCNN
GakyungKim/afterglow-theme
A minimal dark Theme for Sublime Text 2 and 3
GakyungKim/BayesCog_v0.2
GakyungKim/brain-surf-cnn
BrainSurfCNN for individualized prediction of task contrasts from resting-state functional connectivity
GakyungKim/deep-learning-with-r-notebooks
R notebooks for the code samples of the book "Deep Learning with R"
GakyungKim/EDM_CognitiveLoad
GakyungKim/fMRI-cleanup
GakyungKim/ENIGMA-OCD
GakyungKim/H2O_example
GakyungKim/hBayesDM
Hierarchical Bayesian modeling of RLDM tasks, using R & Python
GakyungKim/PCNtoolkit-demo
Demo and tutorial for PCNtoolkit routines
GakyungKim/pythonbootcamp
[워크샵] SNU College of Engineering SPLIT Program Tutoring Materials & Python Basic Bootcamp materials.
GakyungKim/pytorch_tabular
A standard framework for modelling Deep Learning Models for tabular data
GakyungKim/sCCA
sparse Canonical Correlation Analysis
GakyungKim/study-PyTorch
GakyungKim/TenSimpleRulesModeling
Code for the figures in the "Ten Simple Rules for Computational Modeling of Behavioral Data" paper.