yangyijane Goto Github PK

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

best-websites-a-programmer-should-visit

:link: Some useful websites for programmers.

books

Some special ebooks

causal-inference-class

coding-for-economists

This repository hosts the code behind the online book, Coding for Economists.

covid-19-data

KFF Data on Coronavirus

covid-data-model

Data backend providing computed data for the graphs displayed at https://covidactnow.org

covid-policy-tracker

Systematic dataset of Covid-19 policy, from Oxford University

covid19

Unified dataset for a better understanding of COVID-19

covid_vaccination_coverage_disparities

covid_vaccination_disparities

crawler

拉钩 | 豆瓣 | 链家爬虫项目的合集

data-visualization-with-python

Discover how Matplotlib and Seaborn can help clearly communicate and present your newly acquired insight

datascienceprogramming

debt_collection

Project implementing regression discontinuity to inform decisions on debt collection

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。

dtmvisual

This package consists of functionalities for dynamic topic modelling and its visualization

dynamic-nmf

Dynamic Topic Modeling via Non-negative Matrix Factorization

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.

evic2019

Tutorial de Dynamic Topic Models en el contexto del estallido social en Chile

experimentdata

ga_sessions

A Placeholder of all the scripts & notebooks which I'll be using for GA Sessions

gbv-analytics

Tutorials describing statistical methods for gender-based violence prevention, including cluster-randomized trial analysis and spatial methods.

gsdmm

GSDMM: Short text clustering