JunhyunB
MS & PhD integrated student in KNU (from 2019)
Kyungpook National UniversityDaegu, South Korea
Pinned Repositories
Adabelief-Optimizer
Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"
avalanche
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
Bowling
Codes for Bowling Application, using Android Studio and Java (python)
cobra
On-device voice activity detection (VAD) powered by deep learning.
confusion_matrix
Contains cf_matrix.py file with a function to make a pretty visualization of a confusion matrix.
Data-Structure
Data Structure codes
Fast-Weight-Memory-public
Official code repository of the paper Learning Associative Inference Using Fast Weight Memory by Schlag et al.
fastformers
FastFormers - highly efficient transformer models for NLU
IDL
Neural-Machine-Translation-with-Attention
This is PyTorch implementation of Seq2Seq with attention mechanism (Now I'm working)
JunhyunB's Repositories
JunhyunB/Neural-Machine-Translation-with-Attention
This is PyTorch implementation of Seq2Seq with attention mechanism (Now I'm working)
JunhyunB/Adabelief-Optimizer
Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"
JunhyunB/avalanche
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
JunhyunB/Bowling
Codes for Bowling Application, using Android Studio and Java (python)
JunhyunB/cobra
On-device voice activity detection (VAD) powered by deep learning.
JunhyunB/confusion_matrix
Contains cf_matrix.py file with a function to make a pretty visualization of a confusion matrix.
JunhyunB/Data-Structure
Data Structure codes
JunhyunB/Fast-Weight-Memory-public
Official code repository of the paper Learning Associative Inference Using Fast Weight Memory by Schlag et al.
JunhyunB/fastformers
FastFormers - highly efficient transformer models for NLU
JunhyunB/IDL
JunhyunB/InvariantRiskMinimization
PyTorch code to run synthetic experiments.
JunhyunB/JunhyunB
My profile
JunhyunB/JunhyunB.github.io
blog
JunhyunB/MetaShift
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)
JunhyunB/Numerical-Analysis
MATLAB code for Numerical Analysis Tutoring
JunhyunB/ocp
https://opencatalystproject.org/
JunhyunB/PaSST
Efficient Training of Audio Transformers with Patchout
JunhyunB/rebias
Official Pytorch implementation of ReBias (Learning De-biased Representations with Biased Representations), ICML 2020
JunhyunB/TEDscraper
💬 scrape TED talk data including transcripts in over 100 languages from TED.com
JunhyunB/VIB-pytorch
Pytorch implementation of Deep Variational Information Bottleneck
JunhyunB/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch