Starred repositories
Workshop for LMTP at various conferences.
The gfoRmula package implements the parametric g-formula in R. The parametric g-formula (Robins, 1986) uses longitudinal data with time-varying treatments and confounders to estimate the risk or me…
[NeurIPS2025] AdaDetectGPT: Adaptive Detection of LLM-Generated Text with Statistical Guarantees
📦 Non-parametric Causal Effects Based on Modified Treatment Policies 🔮
An index of algorithms for learning causality with data
Simulation code for "Multivariate Zero-Inflated Causal Model for Regional Mobility Restriction Effects on Consumer Spending"
1
Updated Oct 7, 2025
Generate Diverse Counterfactual Explanations for any machine learning model.
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…
Code accompanying the paper "Empirical analysis of model selection for heterogeneous causal effect estimation"
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
A Python library that helps data scientists to infer causation rather than observing correlation.
Implementation of PLS-DA and OPLS-DA for high dimensional data, like MS in metabolomics.
A Python 3 implementation of orthogonal projection to latent structures
R Debugger Extension for Visual Studio Code
A Python implementation of the "Controlling the False Discovery Rate via Knockoffs" paper from 2015, designed to provide tools for generating knockoff features and applying controlled variable sele…
A Markdown parser + object model in scala
Knockoff Nets: Stealing Functionality of Black-Box Models
Approximate knockoffs and model-free variable selection.
A versatile interface to the knockoff methodology.
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