py-why / pywhy-statsLinks
Python package for (conditional) independence testing and statistical functions related to causality.
☆29Updated 2 months ago
Alternatives and similar repositories for pywhy-stats
Users that are interested in pywhy-stats are comparing it to the libraries listed below
Sorting:
- [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.☆62Updated this week
- [Experimental] Global causal discovery algorithms☆110Updated this week
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆62Updated 4 months ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated 11 months ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆84Updated 4 years ago
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆63Updated 7 months ago
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆45Updated 2 years ago
- Example causal datasets with consistent formatting and ground truth☆100Updated 7 months ago
- Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)☆16Updated 5 years ago
- Active Bayesian Causal Inference (Neurips'22)☆59Updated last year
- Scalable open-source software to run, develop, and benchmark causal discovery algorithms☆74Updated last week
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- Python package for the creation, manipulation, and learning of Causal DAGs☆155Updated 2 years ago
- Epidemiology analysis package☆150Updated 2 years ago
- ☆32Updated 3 months ago
- A unified interface for the estimation of causal networks☆22Updated 5 years ago
- Scikit-learn compatible decision trees beyond those offered in scikit-learn☆85Updated this week
- Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference☆61Updated this week
- Makes algorithms/code in Tetrad available in Python via JPype☆90Updated last week
- ❓y0 (pronounced "why not?") is for causal inference in Python☆65Updated this week
- Python package to compute conditional and non-conditional causal effects.☆36Updated 3 years ago
- ☆45Updated last year
- Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.☆72Updated last year
- Code to run submissions for the Atlantic Causal Inference Competition☆43Updated last year
- Competing Risks and Survival Analysis☆111Updated 2 months ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆54Updated 6 months ago
- causal-falsify: A Python library with algorithms for falsifying unconfoundedness assumption in a composite dataset from multiple sources.☆36Updated 3 months ago
- A Causal AI package for causal graphs.☆60Updated 2 weeks ago
- Nonlinear Causal Discovery with Confounders☆21Updated 2 years ago
- AutoML for causal inference.☆231Updated 11 months ago