apoorvalal Goto Github PK
Name: Apoorva Lal
Type: User
Company: @Netflix
Bio: data scientist
Twitter: Apoorva__Lal
Location: /dev/null
Name: Apoorva Lal
Type: User
Company: @Netflix
Bio: data scientist
Twitter: Apoorva__Lal
Location: /dev/null
tex document for papers on overleaf
A fast and flexible Python package for solving group lasso and elastic net problems.
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.
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.
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
Causal Inference in Python
CBPS via exponential tilting for ATE/ATT
Notebooks for Applied Causal Inference Powered by ML and AI
Estimators for conditional moment restriction problems
Code to estimate Conley's Standard Errors in R
EDA / Figures. Not turning into a medium post anytime soon.
High-dimensional regression adjustments in randomized experiments
Implementation of the original synthetic control (Abadie, Diamond, and Hainmueller 2010) and elastic-net synthetic control (Doudchenko and Imbens 2016) in CVXR.
python implementation of Peng Ding's "First Course in Causal Inference"
utils to fit DoubleML models
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.