Larsvanderlaan / causalCalibration Star 8 Code Issues Pull requests Code for causal isotonic calibration for heterogeneous treatment effects (appeared in ICML, 2023) machine-learning calibration ate causal-inference cate heterogeneous-treatment-effects cross-fitting isotonic-calibration debiased Updated Apr 15, 2026 Python
brandon-behring / double_ml_time_series Star 0 Code Issues Pull requests Double ML for time series data time-series econometrics causal-inference double-machine-learning cross-fitting Updated Jun 21, 2026 Python
bfava / ensembleHTE Star 0 Code Issues Pull requests Ensemble methods for learning features of heterogeneous treatment effects with valid downstream inference via repeated cross-fitting machine-learning r statistics econometrics ensemble-learning r-package causal-inference treatment-effects heterogeneous-treatment-effects cross-fitting Updated Jul 22, 2026 R
mwoodfi / variational-architecture Star 0 Code Issues Pull requests Replication materials for: 'Part A - Expected Free Energy as a Structural Architecture of Individual Choice' nonlinear-dynamics free-energy variational-inference hysteresis decision-theory behavioral-economics active-inference regime-shifts rational-inattention structural-modelling simulation-based-inference cross-fitting parameter-recovery bounded-rationality model-identifiability dynamic-choice epistemic-value identity-rigidity attractor-dynamics Updated Jul 4, 2026 R