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individual-treatment-effects

Here are 10 public repositories matching this topic...

scikit-uplift

maks-sh / scikit-uplift

❗ uplift modeling in scikit-learn style in python 🐍

machine-learning causality causal-inference uplift-modeling individual-treatment-effects uplift true-lift net-lift uplift-modelling

Updated Oct 21, 2023
Python

farazmah / dragonnet-pytorch

pytorch implementation of dragonnet

causality causal-inference individual-treatment-effects dragonnet

Updated Sep 29, 2022
Python

autoum

jroessler / autoum

A Python Framework for Automatically Evaluating various Uplift Modeling Algorithms to Estimate Individual Treatment Effects

python machine-learning causal-inference uplift-modeling individual-treatment-effects uplift heterogeneous-treatment-effects

Updated Aug 14, 2023
Python

predict-idlab / cct-cmc

Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner

causal-inference conformal-prediction prediction-intervals individual-treatment-effects conformal-predictors heterogeneous-treatment-effects conformal-predictive-systems weighted-conformal-predictive-systems

Updated May 23, 2024
Jupyter Notebook

junyzhou10 / MetaLearners

The package is developed for treatment recommendation & pairwise treatment individual effect estimation (ITE/CATE/HTE) when multiple treatment/intervention options exist. The package is still under development.

causal-inference meta-learning r-learning individual-treatment-effects individualized-treatment-rules x-learner s-learner t-learner

Updated Mar 9, 2023
R

shantanu-ai / PSSAM-GAN

Repository of the algorithm Propensity Score Synthetic Augmentation Matching using Generative Adversarial Networks (PSSAM-GAN)

deep-learning pytorch generative-adversarial-network gan causality causal-inference individual-treatment-effects multitask-learning

Updated Jul 28, 2022
Python

causal-lab-miism / deep_causal_inference_ite_library

Code library for training causal inference deep learning models with automatic hyperparameter optimization written in Tensorflow 2.

library neural-networks hyperparameter-optimization hyperparameter-tuning causal-inference causal-models individual-treatment-effects causality-algorithms meta-learners

Updated Feb 5, 2024
Python

michaelstjules / tree-based-individual-causal-effects

Evaluating BART and Synthetic Tree-Based Methods for the Estimation of Individual Causal Effects, final project for CM764 - Statistical Learning - Function Estimation at uWaterloo

bart causal-inference synthetic-random-forests individual-causal-effects individual-treatment-effects

Updated Oct 27, 2017

AIMedLab / DSW

Code and Datasets for the paper "Estimating Individual Treatment Effects with Time-Varying Confounders", published on ICDM 2020.

deep-learning time-varying-confounding electronic-health-record causal-inference sepsis individual-treatment-effects deep-sequential-weighting

Updated Sep 5, 2020
Python

shantanu-ai / DR-VIDAL-AMIA-22

Official repository of DR-VIDAL - accepted in AMIA' 22 (Oral)

deep-learning information-theory jobs pytorch gan vae causality causal-inference individual-treatment-effects doubly-robust ihdp

Updated Jun 16, 2023
Python

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