domyounglee's repositories
korbert-mecab-multigpu
MULTI GPU환경에서 ETRI 한국어 BERT모델 활용한 Korquad 학습 방법
tf2-reformer
Reproducing the reformer with tf2
Transformer-Summarization
An optimized Transformer based abstractive summarization model with Tensorflow
TF-TrigramBlocking-transformer
Transformer based Trigram Blocking implementation in Tensorflow
KLUE-transformers
Fine tuning pretrained model with KLUE benchmark dataset using Transformers library
korbert-mecab-multigpu-classification
ETRI bert 기반 감정분류 finetuning
Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Deep-Learning-Tutorials
ML_tutorials
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
awesome-nlp-note
A curated list of resources dedicated to NLP (paper, blogs, note and etc)
Chatbot_data
Chatbot_data_for_Korean
d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
google-research
Google AI Research
huggingface-transformers
Jupyter notebooks for the Natural Language Processing with Transformers book
KoBART-summarization
Summarization module based on KoBART
komt
Korean Multi-task Instruction Tuning
KoreaNewsCrawler
대량의 뉴스 데이터를 수집하기 위해 만들어진 뉴스 크롤러입니다.
nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
NLP101
NLP 101: a resource repository for Deep Learning and Natural Language Processing
PrefixTuning
Prefix-Tuning: Optimizing Continuous Prompts for Generation
python_de_learners_data
Repo contains the code, data and supporting documents including presentations, playbooks and additional documents to support learning
pytorch-template
PyTorch deep learning projects made easy.
stocksight
Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
summarization_pj1
align with tensor2tensor summarization model