Kim, Ki Hyun

stock_market_reinforcement_learning. This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.

simple-nmt. This repo contains a simple source code for advanced neural machine translation based on sequence-to-sequence.

arxiv-translator. HTML

nlp_with_pytorch_examples. 도서 내의 코드들을 모아 놓은 repo입니다.

stock2vec. Embedding stocks to vectors based on the price history

simple-ntc. This repo provides a simple short-text classification code using RNN and CNN.

deep_learning_book_exercise. Jupyter Notebook

deeplearning_with_pytorch. Jupyter Notebook

study_organizer. Collection of Lectures, Articles, Slides and Papers for Deeplearning (+Machine Learning)

nlp-express-practice. Jupyter Notebook

subword-nmt. Subword Neural Machine Translation based on rsennrich, but include feature to deal with a sentence already tokenized.

simple-bert. Language Modeling and Text Classification using BERT

nlp-practice. Jupyter Notebook

nlp_with_deep_learning_blog. A modern, high customizable, responsive Jekyll theme for documention with built-in search.

OpenNLMTK. Open Neural Language Modeling Toolkit

korea_stock_market_crawler. Crawling KOSPI and KOSDAQ stock price from Naver Stock

nlp_preprocessing. Scripts for NLP preprocessing

pgr21_crawler. Crawler for PGR21 (http://pgr21.com)

parallel_corpus_crawler. Parallel Corpus Crawlers for Machine Translation

clien_crawler. Python

sllm_finetune. Jupyter Notebook

kh-kim.github.io. Ki's blog

ted_transcript_crawler. TED transcript crawler for every language

deeplearning_training_template. Help for easy training & use via Deeplearning template

llm-kr-eval. Python

kh-kim.