angelamzhou's Stars
twitter/the-algorithm
Source code for Twitter's Recommendation Algorithm
Pixelkit/PixelKit-Bootstrap-UI-Kits
Free UI Kits built on Bootstrap for any developer that wants to build a cool looking and functional website. Enjoy!
py-why/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.
st-tech/zr-obp
Open Bandit Pipeline: a python library for bandit algorithms and off-policy evaluation
khalil-research/PyEPO
A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming
schollz/poetry-generator
A Python2 based Backus-Naur poetry generator
BasisResearch/chirho
An experimental language for causal reasoning
myleott/ark-twokenize-py
Python port of the Twokenize class of ark-tweet-nlp
clvoloshin/COBS
OPE Tools based on Empirical Study of Off Policy Policy Estimation paper.
polychora-org/8up-zine
A LaTeX template for a single-sheet zine.
udellgroup/orie7191
Materials for ORIE 7191: Topics in Optimization for Machine Learning
math-econ-code/mec_equil
'math+econ+code' masterclass on equilibrium transport and matching models in economics
seandolinar/socialmediaparse
opimwue/ddop
https://opimwue.github.io/ddop/.
CausalML/continuous-policy-learning
CausalML/interventions-disparate-impact-responders
Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds
gp2u/opendata4covid19
Korean COVID-19 data extraction
the-markup/investigation-vi-spdat
alihajbabaie/COVID