Pinned Repositories
academic_website
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
AirbnbHosts
Dataset accompanying Self-Disclosure and Perceived Trustworthiness of Airbnb Host Profiles
applied-methods-phd
Repo for Yale Applied Empirical Methods PHD Course
aspiringdatascientist
A hardcore data scientist in training
awesome-blockchain-cn
收集所有区块链(BlockChain)技术开发相关资料，包括Fabric和Ethereum开发资料
bayes-time-series
covid-data-model
Data backend providing computed data for the graphs displayed at https://covidactnow.org
GA_Sessions
A Placeholder of all the scripts & notebooks which I'll be using for GA Sessions
US_County_Level_Election_Results_08-20
United States General Election Presidential Results by County from 2008 to 2016
yangyijane's Repositories
yangyijane/covid-data-model
Data backend providing computed data for the graphs displayed at https://covidactnow.org
yangyijane/US_County_Level_Election_Results_08-20
United States General Election Presidential Results by County from 2008 to 2016
yangyijane/academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
yangyijane/applied-methods-phd
Repo for Yale Applied Empirical Methods PHD Course
yangyijane/awesome-blockchain-cn
收集所有区块链(BlockChain)技术开发相关资料，包括Fabric和Ethereum开发资料
yangyijane/Best-websites-a-programmer-should-visit
:link: Some useful websites for programmers.
yangyijane/Books
Some special ebooks
yangyijane/causal-inference-class
yangyijane/coding-for-economists
This repository hosts the code behind the online book, Coding for Economists.
yangyijane/COVID-19-Data
KFF Data on Coronavirus
yangyijane/covid-policy-tracker
Systematic dataset of Covid-19 policy, from Oxford University
yangyijane/covid_vaccination_coverage_disparities
yangyijane/covid_vaccination_disparities
yangyijane/Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
yangyijane/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
yangyijane/gbv-analytics
Tutorials describing statistical methods for gender-based violence prevention, including cluster-randomized trial analysis and spatial methods.
yangyijane/kfftemplate
yangyijane/Machine-Learning-Notes
周志华《机器学习》手推笔记
yangyijane/modern-resume-theme
A modern static resume template and theme. Powered by Jekyll and GitHub pages.
yangyijane/Natural-Experiments
Code for Natural Experiments and Regression Discontinuities
yangyijane/pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
yangyijane/pysynthdid
Synthetic difference in differences for Python
yangyijane/replication
Replication files for working papers
yangyijane/Sharing_ISL_python
An Introduction to Statistical Learning with Applications in PYTHON
yangyijane/sigma_coding_youtube
This is a collection of all the code that can be found on my YouTube channel Sigma Coding.
yangyijane/stat-learning
Notes and exercise attempts for "An Introduction to Statistical Learning"
yangyijane/statsbook
用Python动手学统计学
yangyijane/TikTok-Api
The Unofficial TikTok API Wrapper In Python
yangyijane/Women-in-Technology
A collection of resources for women in tech, consisting of - courses, learning guides, amazing sites and repos, blogs, programs and events. scholarships, etc.
yangyijane/yangyijane.github.io
Yi Yang's Personal Website