Name: Younghoon Kim
Type: User
Bio: Psychiatry Resident working @ SNUH. Interested in representation learning, reinforcement learning, and computational psychiatry.
Twitter: aktivhoon
Location: Seoul, South Korea
Blog: aktivhoon.github.io
Younghoon Kim's Projects
Jupyter notebooks providing explanation & codes for active inference
Config files for my GitHub profile.
A minimal, responsive, and powerful Jekyll theme for presenting professional writing.
Practice project for auto-encoders
KAIST [BiS427] Computational Neuroscience (2016 Spring)
Course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL
chlorpromazine equivalent dose calculator build in rust
Deep Reinforcement Learning Algorithms written in PyTorch
Code for NeurIPS 2020 article "Contrastive learning of global and local features for medical image segmentation with limited annotations"
Assignments for CS294-112.
Introduction to computational psychiatry
Easily create a beautiful website using Academic and Hugo
May the ë´ęłľ be with you..
Classifying osteoporosis using dense-net (PyTorch)
Choosing order by lot
Python implementation of Teaching Recurrent Neural Networks to Infer Global Temporal Structure from Local Examples (Nature Machine Intelligence, 2021)
𫧠Revealing Differential Psychotic Symptom patterns in Schizophrenia and Bipolar I Disorder by Manifold Learning and Network Analysis (Kim et al., 2024)
Semantic Segmentation for Pelvic CT image (PyTorch)
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Training infection agents