sungjae-cho Goto Github PK
Name: Sungjae Cho
Type: User
Bio: Researcher interested in the learning algorithms of artificial and biological neural nets
Twitter: SungjaeAI
Blog: sungjae-cho.github.io
Name: Sungjae Cho
Type: User
Bio: Researcher interested in the learning algorithms of artificial and biological neural nets
Twitter: SungjaeAI
Blog: sungjae-cho.github.io
Homeworks on the course 'Embedded Operating System' during Fall, 2016
To make a program that can do the psychology experiment of arithmetic cognition on human subjects
We implement a Jordan network that learns arithmetic operations (addition and subtraction) and mimic human reaction time. This implementation was used in the ICCM 2019 paper titled "Simulating Problem Difficulty in Arithmetic Cognition Through Dynamic Connectionist Models".
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".
Implementation for artificial neural networks that computes arithmetic operations
List of summer schools in machine learning + related fields across the globe
To practice the python package Beautiful Soup
The source codes in the book, C Programming Language, 2nd Edition, written by Brian W. Kernighan and Dennis M. Ritchie
The brief summary and source codes in the book, Cognitive Modeling, written by Jerome R. Busemeyer and Adele Diederich.
Appendix for the detailed statistical results of the CogSci2019 paper.
Records while taking the Computational Neuroscience course on Coursera
Pytorch implementation of "An intriguing failing of convolutional neural networks and the CoordConv solution" - https://arxiv.org/abs/1807.03247
The repository for the SNU course on the fundamentals and applications of cognitive modeling in fall, 2018.
The repository for the SNU course on Dynamics and Cognitive Models in spring, 2019.
Archive the programming assignments in Deep Learning Specialization at Coursera by Andrew Ng and deeplearning.ai
A repository to summarize the Coursera course, Digital Signal Processing
scripts for simulation, analysis, and figures for the manuscript 'Untangling stability and gain modulation in cortical circuits with multiple interneuron classes'
To draw activation functions, i.e., to get images of activation functions
The Emotional Voices Database: Towards Controlling the Emotional Expressiveness in Voice Generation Systems
Fundamentals-of-Neuroscience
gentle forced aligner
:octocat: Don't think about git, just do git
GLAC Net: GLocal Attention Cascading Network for the Visual Storytelling Challenge
PyTorch implementation of Grad-CAM
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.