almost-matching-exactly / MALTSLinks
☆16Updated last year
Alternatives and similar repositories for MALTS
Users that are interested in MALTS are comparing it to the libraries listed below
Sorting:
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆62Updated 6 months ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆84Updated last year
- ☆25Updated 4 years ago
- Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".☆28Updated 4 years ago
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…☆18Updated 4 years ago
- Experiments with experimental rule-based models to go along with imodels.☆18Updated last month
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆25Updated 3 years ago
- Code associated with paper: Plug-in Regularized Estimation of High-Dimensional Parameters in Nonlinear Semiparametric Models, Chernozhuk…☆16Updated 5 years ago
- Python package for (conditional) independence testing and statistical functions related to causality.☆31Updated last month
- A python package for semi-structured deep distributional regression☆23Updated 3 years ago
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.☆64Updated 3 weeks ago
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆63Updated 9 months ago
- Epidemiology analysis package☆151Updated 2 years ago
- Code to run submissions for the Atlantic Causal Inference Competition☆45Updated last year
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…☆62Updated last year
- TIme series DiscoverY BENCHmark (tidybench)☆38Updated last year
- Code for blog posts.☆20Updated 2 years ago
- ☆24Updated 2 years ago
- Causal Inference in Python☆45Updated 4 months ago
- Tools for causal discovery in R☆21Updated 3 weeks ago
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆45Updated 2 years ago
- Rule Extraction Methods for Interactive eXplainability☆48Updated 3 years ago
- Machine Learning models using a Bayesian approach and often PyMC3☆25Updated 5 years ago
- causal-falsify: A Python library with algorithms for falsifying unconfoundedness assumption in a composite dataset from multiple sources.☆36Updated 3 weeks ago
- 💊 Comparing causality methods in a fair and just way.☆141Updated 5 years ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆84Updated 7 years ago
- This is a read-only mirror of the CRAN R package repository. pcalg — Methods for Graphical Models and Causal Inference. Homepage: https…☆35Updated last year
- Scalable open-source software to run, develop, and benchmark causal discovery algorithms☆77Updated last week
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆86Updated 4 years ago