Pinned Repositories
Policy-to-utilize-DT-in-traditional-markets
통계데이터 분석, 활용 대회(통계청) - 넥스트노멀 시대_전통시장 DT 활용 방안
Causal-Inference-with-Python
Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.
causal-inference-practice
가짜연구소 <인과추론과 실무> 프로젝트
Academy.ALZZA
교재 연습을 위한 자료를 다운받으실 수 있습니다.
Attention-Based-Aspect-Extraction
Code for unsupervised aspect extraction, using Keras and its Backends
awesome-public-datasets
A topic-centric list of HQ open datasets.
bert-topic-models
BERT 기반의 문맥을 반영한 한국어 토픽 모델링 (BERT Contextualized Topic Models)
BQ_AUTOML
Causal-Inference-with-Python
Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.
causal-text-papers
Curated research at the intersection of causal inference and natural language processing.
fenzhantw's Repositories
fenzhantw/pseudolab.github.io
가짜연구소 블로그
fenzhantw/lgcns-mlops-practice
fenzhantw/Causal-Inference-with-Python
Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.
fenzhantw/hpo-using-optuna-mlflow
A repository that contains an example for hpo using Optuna and MLflow
fenzhantw/streamlit-example
Example Streamlit app that you can fork to test out share.streamlit.io
fenzhantw/Moral_Emotion_Dataset
GIT
fenzhantw/worldcup
A Comprehensive Database on the FIFA World Cup
fenzhantw/Local-Citation-Recommendation
Code for ECIR 2022 paper Local Citation Recommendation with Hierarchical-Attention Text Encoder and SciBERT-based Reranking
fenzhantw/causal-text-papers
Curated research at the intersection of causal inference and natural language processing.
fenzhantw/fenzhantw.github.io
fenzhantw/DLforeveryone
fenzhantw/curated-list-of-data-study
A curated list of Deep Learning / ML / Causality
fenzhantw/bert-topic-models
BERT 기반의 문맥을 반영한 한국어 토픽 모델링 (BERT Contextualized Topic Models)
fenzhantw/Dacon_jobcare_recommend
잡케어 추천 알고리즘 경진대회 고용정보원 | 정형데이터 | 추천
fenzhantw/awesome-public-datasets
A topic-centric list of HQ open datasets.
fenzhantw/Policy-to-utilize-DT-in-traditional-markets
통계데이터 분석, 활용 대회(통계청) - 넥스트노멀 시대_전통시장 DT 활용 방안
fenzhantw/BQ_AUTOML
fenzhantw/deep-learning-from-scratch-2
『밑바닥부터 시작하는 딥러닝 ❷』(한빛미디어, 2019)
fenzhantw/minimal-mistakes
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
fenzhantw/Attention-Based-Aspect-Extraction
Code for unsupervised aspect extraction, using Keras and its Backends
fenzhantw/Academy.ALZZA
교재 연습을 위한 자료를 다운받으실 수 있습니다.
fenzhantw/ISLR-with-Python
Introduction to Statistical Learning with R을 Python으로