sungjae-cho
Researcher interested in the learning algorithms of artificial and biological neural nets
KISTSeoul, South Korea
Pinned Repositories
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".
git-memo
HnM_crawler
Make a web crawler mining the web page of H&M US
ICASSP2020_STDemo
Show and Tell demonstration homepage
linux
About making use of Linux well
Short-term-plasticity-RNN
Short-term plasticity RNN models in Tensorflow
tacotron2
Tacotron 2 - PyTorch implementation with faster-than-realtime inference
sungjae-cho's Repositories
sungjae-cho/ICASSP2020_STDemo
Show and Tell demonstration homepage
sungjae-cho/Short-term-plasticity-RNN
Short-term plasticity RNN models in Tensorflow
sungjae-cho/tacotron2
Tacotron 2 - PyTorch implementation with faster-than-realtime inference
sungjae-cho/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".
sungjae-cho/awesome-mlss
List of summer schools in machine learning + related fields across the globe
sungjae-cho/git-memo
sungjae-cho/InterSpeech2021_STDemo
InterSpeech 2021 Show and Tell demonstration page
sungjae-cho/KAB-preprocessing
sungjae-cho/linux
About making use of Linux well
sungjae-cho/spikeRNN
sungjae-cho/book-wang
sungjae-cho/compneuro-coursera
Records while taking the Computational Neuroscience course on Coursera
sungjae-cho/compneuro-ranking
sungjae-cho/Fundamentals-of-Neuroscience
Fundamentals-of-Neuroscience
sungjae-cho/hifi-gan
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
sungjae-cho/incremental-sequence-learning
Implementation of the Incremental Sequence Learning algorithms described in the Incremental Sequence Learning article
sungjae-cho/julia-practice
Study note for Julia
sungjae-cho/KordingLab.github.io
Jekyll page for Kording lab webpage
sungjae-cho/linux-mint
My Linux Mint configurations
sungjae-cho/Medical-Neuroscience-Duke
sungjae-cho/my-python-utils
My Python utilities
sungjae-cho/neuro-lab
My neuroscience lab
sungjae-cho/nmc2022-handwriting
sungjae-cho/page-dmnist-handwriting
sungjae-cho/PCN-with-Global-Recurrent-Processing
Code for "Deep predictive coding network for object recognition"
sungjae-cho/pyESN
Echo State Networks in Python
sungjae-cho/sungjae-cho.github.io
sungjae-cho/tf_test_apple_m1
sungjae-cho/waveglow
A Flow-based Generative Network for Speech Synthesis
sungjae-cho/WilsonCowan
Wilson–Cowan model