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Name: Apoorva Lal
Type: User
Bio: data scientist
Twitter: Apoorva__Lal
Name: Apoorva Lal
Type: User
Bio: data scientist
Twitter: Apoorva__Lal
tex document for papers on overleaf
processes gadm
Regression adjustment, IPW, and AIPW estimators for causal effects using various ML methods
minimal, fast object oriented implementation of the AIPW estimator for many discrete treatments. Implemented with scikitlearners and cross-fitting. Written primarily for OOP practice and customisation.
pandoc / rmarkdown paper template + folder structure for empirical papers. Spits out sensible looking working paper pdf without having to set everything up in latex (but keeps tex file for subsequent tinkering).
Augmented minimax linear estimation
Example of animated maps in matplotlib + geopandas using entire time series of congressional district maps from UCLA archive. rendered, interactive version below
prose microblog source. plaintext files.
A PhD course in Applied Econometrics and Panel Data
ML estimators using h2o ensembles
A curated collection of links for economists
Approximately balanced estimation of average treatment effects in high dimensions.
Balancing weights for observational studies
Function to extract all bib entries cited in paper (using biblatex citations) from a big bibtex file and populate small bib file
Binb is not Beamer
1. 1885 redistricting, 2. lancashire famine realigments
source for bsky arxiv paperboy bot.
scraping openjustice data on crime in california
wrapper package for multiple CATE estimator routines
Implementation of Double Machine Learning
Causal Inference in Python
A Python package for causal inference in quasi-experimental settings
RStudio Cheat Sheets
Notebooks for Applied Causal Inference Powered by ML and AI
This repository hosts the code behind the online book, Coding for Economists.
Estimators for conditional moment restriction problems
Package for Conley standard errors in cross-section and panel data models estimated with felm()
Code to estimate Conley's Standard Errors in R
Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.