ezinne359

ezinne359's Stars

• matteocourthoud/awesome-causal-inference

  A curated list of causal inference libraries, resources, and applications.

  880149

• gostevehoward/confseq

  Confidence sequences and uniform boundaries

  Language:C++573

• epierson9/invisible-conditions

  Public release of the underreported conditions relative prevalence code.

  Language:Jupyter Notebook41

• socialfoundations/whynot

  A Python sandbox for decision making in dynamics

  Language:Python41843

• ychen178/DTRlearn2

  Statistical learning methods for optimizing dynamic treatment regimes (DTRs) for recurrent diseases

  Language:R72

• evanmunro/market-interference

  Repository for replicating the figures and tables in the paper "Treatment Effects in Market Equilibrium"

  Language:Julia22

• StefaniaI/Predictions-MM

  Language:Python1

• papachristoumarios/financial-contagion

  [WWW 2022] Supplementary Code for "Allocating Stimulus Checks in Times of Crisis"

  Language:Python83

• epierson9/pain-disparities

  Language:Python2810

• pnokhiz/precarity

  Examining long-term compounded effects of decisions on individual's precarity

  Language:Jupyter Notebook3

• grf-labs/policytree

  Policy learning via doubly robust empirical welfare maximization over trees

  Language:R7815

• estherrolf/representation-matters

  Language:Jupyter Notebook41

• jcperdomo/performative-prediction

  Language:Jupyter Notebook285

• AdityaMate/collapsing_bandits

  Code repo for "Collapsing Bandits and Their Applications to Public Health Interventions", (NeurIPS'20)

  Language:Python93

• leonidk/leonidk.github.io

  a fork of https://jonbarron.info/ for use in jekyll builds with markdown page updates

  Language:SCSS279232

• kochbj/Deep-Learning-for-Causal-Inference

  Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflow 2 and Pytorch.

  30668

• IBM/UQ360

  Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.

  Language:Python25761

• LeahRosenzweig/sending_airtime

  Language:Python1

• paulgp/applied-methods-phd

  Repo for Yale Applied Empirical Methods PHD Course

  Language:HTML2k587

• HugoBlox/hugo-blox-builder

  🚨 GROW YOUR AUDIENCE WITH HUGOBLOX! 🚀 HugoBlox is an easy, fast no-code website builder for researchers, entrepreneurs, data scientists, and developers. Build stunning sites in minutes. 适合研究人员、企业家、数据科学家和开发者的简单快速无代码网站构建器。用拖放功能、可定制模板和内置SEO工具快速创建精美网站！

  Language:HTML8.5k2.9k

• lydiatliu/delayedimpact

  Code for reproducing results in Delayed Impact of Fair Machine Learning (Liu et al 2018)

  Language:Jupyter Notebook157

• alshedivat/al-folio

  A beautiful, simple, clean, and responsive Jekyll theme for academics

  Language:HTML11.6k11.4k

• sustainlab-group/africa_poverty

  Language:Jupyter Notebook10867

• anishathalye/gemini

  Gemini is a modern LaTex beamerposter theme 🖼

  Language:TeX1k231

• anishathalye/auriga

  Auriga is a minimalist LaTeX beamer presentation theme 📽

  Language:TeX34532

• mbilalzafar/fair-classification

  Python code for training fair logistic regression classifiers.

  Language:Python19071

• ee227c/ee227c.github.io

  EE227C (Spring 2018) Course page

  Language:HTML22096

• ermongroup/lag-fairness

  Language:Python227

• juniperalcorn/AlgorithmsAtOrbitalRX

  Algorithms Repo

  9

• paidamoyo/ais

  Annealed Importance Sampling (AIS) for generative models.

  Language:Python1