Projects in Awesome Lists tagged with targeted-learning
A curated list of projects in awesome lists tagged with targeted-learning .
https://github.com/en0th/ElectricRat
电气鼠靶场系统是一种带有漏洞的Web应用程序,旨在为Web安全渗透测试学习者提供学习和实践的机会。The Electrical Mouse Target Range System is a web application with vulnerabilities designed to provide learning and practice opportunities for web security penetration testing learners.
Last synced: 07 Sep 2025
https://github.com/tlverse/tlverse-handbook
🎯 :closed_book: Targeted Learning in R: A Causal Data Science Handbook
biostatistics causal-data-science causal-inference causal-machine-learning data-science machine-learning statistics targeted-learning tlverse
Last synced: 19 Feb 2026
https://github.com/ck37/varimpact
Variable importance through targeted causal inference, with Alan Hubbard
causal-inference cv-tmle observational-study targeted-learning tmle variable-importance
Last synced: 18 May 2026
https://github.com/tlverse/causalglm
Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
causal-inference causal-learning data-science generalized-linear-models heterogeneous-treatment-effects high-dimensional-inference interpretable-machine-learning machine-learning marginal-structural-models nonparametric-statistics projection r r-package relative-risk-regression robust-statistics semiparametric-estimation statistics targeted-learning treatment-effects working-model
Last synced: 19 Feb 2026
https://github.com/ck37/ck37r
R functions for project setup, data cleaning, machine learning, SuperLearner, parallelization, and targeted learning.
h2oai parallelization slurm superlearner targeted-learning tmle
Last synced: 18 May 2026
https://github.com/targene/tmle.jl
A Julia implementation of the Targeted Minimum Loss-based Estimation
causal-inference double-robust julia machine-learning non-parametric-statistics statistics targeted-learning tmle
Last synced: 27 Jul 2025
https://github.com/tlverse/tmle3shift
🎯 :game_die: Targeted Learning of the Causal Effects of Stochastic Interventions
causal-inference machine-learning marginal-structural-models stochastic-interventions targeted-learning treatment-effects variable-importance
Last synced: 19 Feb 2026
https://github.com/nhejazi/txshift
:package: :game_die: R/txshift: Efficient Estimation of the Causal Effects of Stochastic Interventions, with Corrections for Outcome-Dependent Sampling
causal-effects causal-inference censored-data machine-learning robust-statistics statistics stochastic-interventions stochastic-treatment-regimes targeted-learning treatment-effects variable-importance
Last synced: 16 Aug 2025
https://github.com/nhejazi/medoutcon
:package: R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
causal-inference causal-machine-learning inverse-probability-weights machine-learning mediation-analysis r r-package stochastic-interventions targeted-learning treatment-effects
Last synced: 16 Aug 2025
https://github.com/blind-contours/supernova
:dizzy: :dart: Automatic identification of variable and interaction importance using basis functions and non-parametric estimation of interactions/effect modification using joint stochastic interventions.
interactions machine-learning mixed-exposure statistics targeted-learning variable-importance
Last synced: 26 Oct 2025
https://github.com/nhejazi/medshift
:package: :game_die: R/medshift: Causal Mediation Analysis for Stochastic Interventions
causal-inference inverse-probability-weights machine-learning mediation-analysis stochastic-interventions targeted-learning treatment-effects
Last synced: 18 Sep 2025
https://github.com/blind-contours/cvtreemle
:deciduous_tree: :dart: Cross Validated Decision Trees with Targeted Maximum Likelihood Estimation
causal-effects causal-inference decision-trees exposure-mixtures machine-learning robust-statistics statistics targeted-learning variable-importance
Last synced: 26 Oct 2025
https://github.com/nhejazi/biotmle
:package: :microscope: R/biotmle: Targeted Learning with Moderated Statistics for Biomarker Discovery
bioconductor bioconductor-package bioconductor-packages bioinformatics biomarker-discovery biostatistics causal-inference computational-biology machine-learning r statistics targeted-learning
Last synced: 16 Aug 2025
https://github.com/insightsengineering/unihtee
Tools for uncovering treatment effect modifiers in high-dimensional data.
heterogeneous-treatment-effects high-dimensional-data nonparametrics targeted-learning variable-importance
Last synced: 05 Jul 2025
https://github.com/larsvanderlaan/calibrateddml
calibratedDML: Doubly robust inference via calibration
aipw calibration causal-inference debiased-machine-learning double-robust doubly-robust-inference targeted-learning
Last synced: 25 Oct 2025
https://github.com/nhejazi/talk_txshift
:speech_balloon: Talk on causal inference and variable importance with stochastic interventions under two-phase sampling
causal-inference censored-data inverse-probability-weights machine-learning marginal-structural-models stochastic-interventions targeted-learning variable-importance
Last synced: 20 Mar 2026
https://github.com/larsvanderlaan/spcaseonlyve
Semiparametric inference for relative heterogeneous vaccine efficacy between strains in observational case-only studies
conditional confounding debiased-machine-learning heterogeneous logistic-regression missing-data odds-ratio partially-linear semiparametric targeted-learning tmle vaccine-efficacy
Last synced: 22 Feb 2026
https://github.com/larsvanderlaan/nprr
npRR: Model-robust inference for the conditional relative risk function using targeted machine learning
machine-learning nonparametric superlearner targeted-learning tmle
Last synced: 25 Oct 2025
https://github.com/carinquantifiable119/data-science-handbook
📝 Explore Jupyter notebooks and reusable code to master data science workflows and enhance your skills effectively.
analytics aws biostatistics causal-inference computer-science ipython machine-learning meta neural-networks notebook numpy probability probability-cheatsheet python scicloj seaborn statistics-cheatsheet targeted-learning
Last synced: 27 Apr 2026
https://github.com/nhejazi/talk_medshift
:speech_balloon: Talk on mediation effects based on stochastic interventions
causal-inference machine-learning mediation-analysis stochastic-interventions targeted-learning
Last synced: 18 Jan 2026