Pinned Repositories
OffensEval2020
Codes for NLPDove at SemEval 2020 Task 6: OffensEval, COLING 2020
11-767
Course materials for 11-767
11-777-template
Template GitHub Repo for 11-777
al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
dotfiles
Personal OS X dotfiles: bash, git, vim
IAML_2018
Industrial Application of Machine Learning music projects (2018 Fall SNU)
KoreaNewsCrawler
대량의 뉴스 데이터를 수집하기 위해 만들어진 뉴스 크롤러입니다.
langrank
A program to choose transfer languages for cross-lingual learning
multi-oli
Pytorch code for "Multilingual Offensive Language Identification"
pointer-generator
Pytorch implementation of the ACL paper 'Get To The Point: Summarization with Pointer-Generator Networks (See et al., 2017)', adapted to a Korean dataset
jiminsun's Repositories
jiminsun/pointer-generator
Pytorch implementation of the ACL paper 'Get To The Point: Summarization with Pointer-Generator Networks (See et al., 2017)', adapted to a Korean dataset
jiminsun/multi-oli
Pytorch code for "Multilingual Offensive Language Identification"
jiminsun/IAML_2018
Industrial Application of Machine Learning music projects (2018 Fall SNU)
jiminsun/11-767
Course materials for 11-767
jiminsun/11-777-template
Template GitHub Repo for 11-777
jiminsun/al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
jiminsun/dotfiles
Personal OS X dotfiles: bash, git, vim
jiminsun/KoreaNewsCrawler
대량의 뉴스 데이터를 수집하기 위해 만들어진 뉴스 크롤러입니다.
jiminsun/langrank
A program to choose transfer languages for cross-lingual learning
jiminsun/LASER
Language-Agnostic SEntence Representations
jiminsun/multidim-evaluation
jiminsun/OffensEval2020
NLPDove at SemEval 2020 Task 6: OffensEval
jiminsun/one-dark-iterm
iTerm2 theme based on One Dark for Atom
jiminsun/pytorch-template
PyTorch deep learning projects made easy.
jiminsun/Text-Summarizer-Pytorch
Pytorch implementation of "A Deep Reinforced Model for Abstractive Summarization" paper and pointer generator network
jiminsun/word_embedding
jiminsun/workshop_2017winter_deepLearning
Resources for the Deep Learning study (2017 Winter) with DeepLearningZeroToAll.