xinzhuohkust's Stars
mlr-org/mlr3keras
Deep learning for mlr3
JanetLau0310/CCIR-2020-Competition
Sentiment Analysis of Chinese Netizen during the COVID-19 Pandemic
lewangdev/shanghai-lockdown-covid-19
Coronavirus (COVID-19) statistics data in Shanghai lockdown. 封控期间上海疫情数据,包括病例数、死亡数、确诊数、无症状数和疫情地址等。
shilapi/CoronaVirusMapForShanghai
Xenofex/covid-shanghai-viz
上海2022年新冠疫情案例数据地图可视化 Shanghai Covid 2022 Cases Visualization on Map
seankross/minimap
:earth_americas: Create Tile Grid Maps
oliviergimenez/bayesian-stats-with-R
Material for a workshop on Bayesian stats with R
NickCH-K/CausalitySlides
Slides for the Seattle University Causal Inference Class
pedrohcgs/DRDID
Doubly Robust Difference-in-Differences Estimators
burtmonroe/TextAsDataCourse
Materials for "Text as Data" classes at Penn State and Essex.
httn21uhh/Causal_Inference_NLP_Economists
Causal Inference in Text as Data for Economics, MSc Course, University of Hamburg, SoSe 2022
WeNeedHome/SummaryOfLoanSuspension
全国各省市停贷通知汇总
china-data/xwlb
新闻联播开放数据
etiennebacher/tidytuesday
My plots for #tidytuesday
kathoffman/causal-inference-visual-guides
A collection of visual guides to help applied scientists learn causal inference.
ajnafa/psci-3300-political-science-research
Course Content for PSCI 3300 Political Science Research Methods
storopoli/Bayesian-Statistics
This repository holds slides and code for a full Bayesian statistics graduate course.
wnma3mz/wechat_articles_spider
微信公众号文章的爬虫
setzler/eventStudy
R package and guide for performing event studies with heterogeneous dynamic effects.
trinker/sentimentr
Dictionary based sentiment analysis that considers valence shifters
gzlupko/nlp_projects
This repo contains Python and R code for Natural Language Processing (NLP) methods applied to open-entry text data collected in psychological and organizational research.
iocfinc/Learning_Spacy
Journey on learning spaCy library.
KennethEnevoldsen/asent
Asent is a python library for performing efficient and transparent sentiment analysis using spaCy.
chrisBow/causal-inference-intro
A quick introduction to the causal inference in R using the CausalImpact package
andrewheiss/heiss-causal-inference
Chapter on causal inference for *R for Political Data Science: A Practical Guide*
shuo-zhang-ucsb/did_multiplegt
Estimation in sharp Difference-in-Difference designs with multiple groups and periods
naoki-egami/DIDdesign
R package DIDdesign: Analyzing Difference-in-Differences Design
ibantel/difference-in-differences
Difference-in-Differences analysis of survey data to estimate causal effects
asheshrambachan/HonestDiD
Robust inference in difference-in-differences and event study designs
olgasilyutina/stm_internet_regulation
Analysis of Russian mass media articles about internet regulation with structural topic modeling