fenzhantw

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/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