almost-matching-exactly / DAME-FLAME-Python-Package
A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data
☆57Updated 3 months ago
Related projects: ⓘ
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆78Updated 9 months ago
- ☆15Updated 2 months ago
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆56Updated last year
- Create sparse and accurate risk scoring systems!☆31Updated last month
- Multi-Objective Counterfactuals☆40Updated 2 years ago
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆72Updated 4 years ago
- Python package for (conditional) independence testing and statistical functions related to causality.☆21Updated 3 weeks ago
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆41Updated 11 months ago
- ☆20Updated 9 months ago
- GAMI-Net: Generalized Additive Models with Structured Interactions☆30Updated 2 years ago
- Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.☆68Updated 7 months ago
- ☆10Updated 2 years ago
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆24Updated 2 years ago
- Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".☆25Updated 2 years ago
- Data for and description of the ACIC 2023 data competition☆32Updated last year
- Generalized Optimal Sparse Decision Trees☆61Updated 5 months ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆44Updated 7 months ago
- Experimental library integrating LLM capabilities to support causal analyses☆70Updated last week
- List of python packages for causal inference☆17Updated 2 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆68Updated 3 years ago
- Simulations for predictive model selection in causal inference☆13Updated this week
- Beta calibration☆24Updated 7 months ago
- [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.☆46Updated this week
- Code associated with paper: Plug-in Regularized Estimation of High-Dimensional Parameters in Nonlinear Semiparametric Models, Chernozhuk…☆15Updated 3 years ago
- ☆36Updated 3 weeks ago
- Public home of pycorels, the python binding to CORELS☆72Updated 4 years ago
- Code for blog posts.☆17Updated 10 months ago
- Neural Additive Models (Google Research)☆66Updated 2 years ago
- ☆9Updated 3 years ago
- Model Agnostic Counterfactual Explanations☆86Updated last year