fenneccat
IR & NLP Lab. at KAIST (http://ir.kaist.ac.kr/about/) Google WTM scholar '19 (https://wtmscholar-kr.github.io/)
Seoul, Korea
Pinned Repositories
2019-Fall_Machine-Learning-Natural-Language-Processing
Works in MLNLP course in KAIST 2019 FALL
Cracking-Coding-Interview-Python
python codes for cracking the coding interview 6th edition
Dictionary-Converter
Exobrain-Question-Answering-Analysis-module
fenneccat
first-contributions
🚀✨ Help beginners to contribute to open source projects
Hashcode2021
hashcode2021 - traffic controller
lecture
Lecture material for text mining class
NAVER_AIRUSH_Grammar_Error_Correction
NAVER AI RUSH 2020 - round 2 - Grammar Error Correction
NAVER_AIRUSH_Hate_Speech
NAVER AI RUSH 2020 - round 1 - Hatespeech classification
fenneccat's Repositories
fenneccat/Dictionary-Converter
fenneccat/2019-Fall_Machine-Learning-Natural-Language-Processing
Works in MLNLP course in KAIST 2019 FALL
fenneccat/Cracking-Coding-Interview-Python
python codes for cracking the coding interview 6th edition
fenneccat/Exobrain-Question-Answering-Analysis-module
fenneccat/fenneccat
fenneccat/first-contributions
🚀✨ Help beginners to contribute to open source projects
fenneccat/Hashcode2021
hashcode2021 - traffic controller
fenneccat/lecture
Lecture material for text mining class
fenneccat/NAVER_AIRUSH_Grammar_Error_Correction
NAVER AI RUSH 2020 - round 2 - Grammar Error Correction
fenneccat/NAVER_AIRUSH_Hate_Speech
NAVER AI RUSH 2020 - round 1 - Hatespeech classification
fenneccat/NLP-research-papers
Explain about NLP papers
fenneccat/pytorch-tutorial
pytorch tutorials in different levels
fenneccat/RecBole
A unified, comprehensive and efficient recommendation library
fenneccat/SuggesetBot-Debate
fenneccat/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
fenneccat/Udacity_Natural_Language_Processing
Codes learn from Udacity_Natural_Language_Processing
fenneccat/Udacity_SPARK
learning about APACHE SPARK
fenneccat/Understanding-the-limitations-of-MRQA-Models
Mater thesis, understanding the limitation of MRQA Models.