Name: Yul Kang
Type: User
Company: KAIST
Bio: Assistant Professor, Bio and Brain Engineering, KAIST; Cognitive computational neuroscience of decision-making under uncertainty
Twitter: YulKang1
Location: Daejeon, South Korea
Blog: yulkanglab.org
Yul Kang's Projects
Recurrent state-space models for decision making
Statsmodels: statistical modeling and econometrics in Python
Python implementation of SLAM algorithm Stereo-PTAM
Code for "Piercing of consciousness as a threshold crossing operation"
Computation using data flow graphs for scalable machine learning
JavaScript 3D library.
Implementation of the Tolman Eichenbaum Machine in pytorch
An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.
The VBA toolbox
Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
Velocity in deep-learning research
JavaScript plug-in, data, and analysis code for Scientific Reports submission: Controlling for Participants’ Viewing Distance in Large-Scale, Psychophysical Online Experiments Using a Virtual Chinrest
Code of the paper "Visual Sentiment Analysis for Review Images with Item-Oriented and User-Oriented CNN", ACM MM'17