❗ uplift modeling in scikit-learn style in python 🐍
pytorch implementation of dragonnet
A Python Framework for Automatically Evaluating various Uplift Modeling Algorithms to Estimate Individual Treatment Effects
Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner
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.
Code library for training causal inference deep learning models with automatic hyperparameter optimization written in Tensorflow 2.
Repository of the algorithm Propensity Score Synthetic Augmentation Matching using Generative Adversarial Networks (PSSAM-GAN)
Code and Datasets for the paper "Estimating Individual Treatment Effects with Time-Varying Confounders", published on ICDM 2020.
Official repository of DR-VIDAL - accepted in AMIA' 22 (Oral)
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