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nt-williams / Lmtp:package: Non-parametric Causal Effects Based on Modified Treatment Policies :crystal_ball:
rguo12 / Network Deconfounder Wsdm20Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
rpryzant / Causal TextPackage for computing causal effects of text (as treatment)
liuhuanyong / EventPredictBasedOnEGfuture event predict demo based on causal event graph that covers the full industries that can predict the benefits or bad effects in accordance with the event given by the user, 基于因果事理图谱的事件预测。
stablemarkets / Intro Bayesian CausalRepository for Introduction to Bayesian Estimation of Causal Effects
edgeslab / CTLA causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
phlippe / CITRISCode repository of the paper "CITRIS: Causal Identifiability from Temporal Intervened Sequences" and "iCITRIS: Causal Representation Learning for Instantaneous Temporal Effects"
AlaaLab / Conformal Metalearners[ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
alexpkeil1 / QgcompQGcomp (quantile g-computation): estimating the effects of exposure mixtures. Works for continuous, binary, and right-censored survival outcomes. Flexible, unconstrained, fast and guided by modern causal inference principles
santikka / Causaleffectcausaleffect: R package for identifying causal effects.
pedemonte96 / CausaleffectPython package to compute conditional and non-conditional causal effects.
Hazrat-Ali9 / Interpretable Spatio Temporal GNNs For Causal Effects Of NO On Schoolchildren S Respiratory Health✈ Interpretable 🚁 Spatio 🚀 Temporal 🛬 GNNs 🕌 Causal 🚢 Effects of 🛸 NO 🏡 on 🚋 Schoolchildren’s 🚂 Health is a 🛩 cutting edge 🚞 research 🚄 that leverages 🛳 Graph ⛴ Neural Networks 🚟 Causal 🚠 Inference to 🚋 analyze ⚽ Nitrogen ⚾ Oxide (NO₂) 🥎 exposure 🏀 affects the 🏐 respiratory 🏈 health of 🎮 schoolchildren 🧶 over 🎁 space 🏩time
michaelpollmann / SpatialTreat Examplea simple example for estimating the causal effects of spatial treatments, following Pollmann (2021)
wxwx1993 / GPSmatchingR Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects using observational data in settings with continuous exposures, and a new framework for GPS caliper matching that jointly matches on both the estimated GPS and exposure levels to fully adjust for confounding bias.
jantonelli111 / DoublyRobustHDR package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
tlverse / CausalglmInterpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
MCKnaus / CATEsMachine Learning Estimation of Heterogeneous Causal Effects
xuanyin / Causal Mediation Analysis For Ab TestsThe Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis
songjiang0909 / Causal Inference On Networked DataCode for paper "Estimating Causal Effects on Networked Observational Data via Representation Learning"
fbargaglistoffi / BCF IVPackage for heterogeneous causal effects in the presence of imperfect compliance (e.g., instrumental variables, fuzzy regression discontinuity designs)
