individual-treatment-effects

There are 1 repository under individual-treatment-effects topic.

scikit-uplift
maks-sh / scikit-uplift
:exclamation: uplift modeling in scikit-learn style in python :snake:
uplift-modeling causal-inference uplift machine-learning causality individual-treatment-effects true-lift net-lift uplift-modelling
Language:Python 699
farazmah / dragonnet-pytorch
pytorch implementation of dragonnet
causal-inference causality dragonnet individual-treatment-effects
Language:Python 21
autoum
jroessler / autoum
A Python Framework for Automatically Evaluating various Uplift Modeling Algorithms to Estimate Individual Treatment Effects
causal-inference heterogeneous-treatment-effects individual-treatment-effects uplift-modeling machine-learning python uplift
Language:Python 18
predict-idlab / cmc-learner
Implementation of Conformal Monte Carlo (CMC) learner
causal-inference conformal-prediction conformal-predictive-systems conformal-predictors heterogeneous-treatment-effects individual-treatment-effects prediction-intervals
Language:Jupyter Notebook 11
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 x-learner s-learner t-learner individual-treatment-effects individualized-treatment-rules r-learning
Language:R 9
shantanu-ai / PSSAM-GAN
Repository of the algorithm Propensity Score Synthetic Augmentation Matching using Generative Adversarial Networks (PSSAM-GAN)
causal-inference causality deep-learning gan generative-adversarial-network individual-treatment-effects multitask-learning pytorch
Language:Python 8
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 synthetic-random-forests individual-causal-effects causal-inference individual-treatment-effects
5
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.
causal-inference neural-networks individual-treatment-effects library causal-models causality-algorithms meta-learners hyperparameter-optimization hyperparameter-tuning
Language:Python 4
AIMedLab / DSW
Code and Datasets for the paper "Estimating Individual Treatment Effects with Time-Varying Confounders", published on ICDM 2020.
causal-inference deep-learning deep-sequential-weighting electronic-health-record individual-treatment-effects sepsis time-varying-confounding
Language:Python 3
shantanu-ai / DR-VIDAL-AMIA-22
Official repository of DR-VIDAL - accepted in AMIA' 22 (Oral)
causal-inference causality deep-learning doubly-robust gan ihdp individual-treatment-effects information-theory jobs pytorch vae
Language:Python 2