targeted-learning

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MLOPTPSU / Targeted-Meta-Learning

In this repository, we implement Targeted Meta-Learning (or Targeted Data-driven Regularization) architecture for training machine learning models with biased data.

training deep-learning tensorflow ml bilevel-optimization targeted-learning bias imbalanced-data imbalanced-learning meta-learning tensorflow2 imbalance-classification

Updated Mar 25, 2023
Python

Larsvanderlaan / ppi-aipw

Star

Python and R package for semisupervised mean estimation and causal inference with AIPW, calibration, and practical uncertainty quantification.

python r dml tmle calibration statistical-inference missing-data targeted-learning causal-inference isotonic-regression semisupervised-learning aipw debiased-machine-learning prediction-powered-inference calibrated-dml

Updated Oct 20, 2026
Python

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