max-little / GRAPLLinks
GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
☆83Updated 10 months ago
Alternatives and similar repositories for GRAPL
Users that are interested in GRAPL 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 2 months ago
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆45Updated 2 years ago
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆154Updated last month
- A resource list for causality in statistics, data science and physics☆266Updated 3 weeks ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆79Updated 4 years ago
- [Experimental] Global causal discovery algorithms☆109Updated last week
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆63Updated 6 months ago
- Active Bayesian Causal Inference (Neurips'22)☆58Updated last year
- [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.☆58Updated last week
- Python package for (conditional) independence testing and statistical functions related to causality.☆28Updated 2 weeks ago
- 💊 Comparing causality methods in a fair and just way.☆140Updated 5 years ago
- ☆122Updated this week
- Bayesian Bandits☆68Updated 2 years ago
- ❓y0 (pronounced "why not?") is for causal inference in Python☆63Updated this week
- Causal Graphical Models in Python☆249Updated 2 years ago
- Code for blog posts.☆20Updated 2 years ago
- Fast implementation of Venn-ABERS probabilistic predictors☆75Updated last year
- Scalable open-source software to run, develop, and benchmark causal discovery algorithms☆72Updated this week
- Bayesian time series forecasting and decision analysis☆117Updated 2 years ago
- A Causal AI package for causal graphs.☆60Updated last week
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆52Updated 5 months ago
- causal-falsify: A Python library with algorithms for falsifying unconfoundedness assumption in a composite dataset from multiple sources.☆35Updated last month
- Bayesian Additive Regression Trees For Python☆232Updated last year
- Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".☆26Updated 3 years ago
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…☆62Updated last year
- Causing: CAUsal INterpretation using Graphs☆58Updated last month
- ☆81Updated 5 years ago
- ☆16Updated last year
- Competing Risks and Survival Analysis☆108Updated last month
- AutoML for causal inference.☆231Updated 10 months ago