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2016-2_eos_homeworks

Homeworks on the course 'Embedded Operating System' during Fall, 2016

arithmetic-experiment

To make a program that can do the psychology experiment of arithmetic cognition on human subjects

arithmetic-experiment-cli

arithmetic-experiment-gui

arithmetic-jordan-net

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".

arithmetic-mlp

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".

arithmetic-neural-nets

Implementation for artificial neural networks that computes arithmetic operations

awesome-mlss

List of summer schools in machine learning + related fields across the globe

beautifulsoup

To practice the python package Beautiful Soup

c-programming-language-book

The source codes in the book, C Programming Language, 2nd Edition, written by Brian W. Kernighan and Dennis M. Ritchie

cognitive-modeling-book

The brief summary and source codes in the book, Cognitive Modeling, written by Jerome R. Busemeyer and Adele Diederich.

cogsci2019-appendix

Appendix for the detailed statistical results of the CogSci2019 paper.

compneuro-coursera

Records while taking the Computational Neuroscience course on Coursera

compneuro-ranking

coordconv

Pytorch implementation of "An intriguing failing of convolutional neural networks and the CoordConv solution" - https://arxiv.org/abs/1807.03247

course-cog-modeling-2018-2

The repository for the SNU course on the fundamentals and applications of cognitive modeling in fall, 2018.

course-cog-modeling-2019-1

The repository for the SNU course on Dynamics and Cognitive Models in spring, 2019.

deep_learning_specialization

Archive the programming assignments in Deep Learning Specialization at Coursera by Andrew Ng and deeplearning.ai

digital-signal-processing

A repository to summarize the Coursera course, Digital Signal Processing

disinhibitory_pathways

scripts for simulation, analysis, and figures for the manuscript 'Untangling stability and gain modulation in cortical circuits with multiple interneuron classes'

draw-activation-functions

To draw activation functions, i.e., to get images of activation functions

emov-db

The Emotional Voices Database: Towards Controlling the Emotional Expressiveness in Voice Generation Systems

fork_sync_test

fundamentals-of-neuroscience

Fundamentals-of-Neuroscience

gentle

gentle forced aligner

git-memo

git-training-1

:octocat: Don't think about git, just do git

glacnet

GLAC Net: GLocal Attention Cascading Network for the Visual Storytelling Challenge

grad-cam-pytorch

PyTorch implementation of Grad-CAM

hifi-gan

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis