ghosthamlet / ananke
Ananke named for the Greek primordial goddess of necessity and causality, is a python package for causal inference using the language of graphical models., import from https://gitlab.com/causal/ananke
☆13Updated 4 years ago
Alternatives and similar repositories for ananke:
Users that are interested in ananke are comparing it to the libraries listed below
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆80Updated last month
- A unified interface for the estimation of causal networks☆22Updated 4 years ago
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆58Updated last year
- ☆93Updated last year
- Non-parametrics for Causal Inference☆43Updated 2 years ago
- Bayesian Causal Forests☆41Updated 9 months ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆49Updated 2 months ago
- Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".☆27Updated 3 years ago
- Causai is a Python package for Causality in Machine Learning. We provide state-of-the-art causal algorithms and ML into decision-making s…☆12Updated 4 years ago
- difference-in-differences in Python☆98Updated last year
- Causal Inference in Python☆40Updated last month
- Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…☆24Updated last year
- Fit Sparse Synthetic Control Models in Python☆80Updated 10 months ago
- Python package to compute conditional and non-conditional causal effects.☆35Updated 2 years ago
- Documentation and User Guide for DoubleML - Double Machine Learning in Python & R☆21Updated last week
- Repository for Introduction to Bayesian Estimation of Causal Effects☆59Updated 4 years ago
- Data for and description of the ACIC 2023 data competition☆32Updated last year
- ☆42Updated 3 years ago
- TIme series DiscoverY BENCHmark (tidybench)☆37Updated 11 months ago
- Causal Inference using Bayesian Additive Regression Trees☆79Updated 4 months ago
- Code for Shopper, a probabilistic model of shopping baskets☆52Updated 4 years ago
- [Experimental] Global causal discovery algorithms☆97Updated this week
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆56Updated 8 months ago
- Policy learning via doubly robust empirical welfare maximization over trees☆78Updated 8 months ago
- Machine learning based causal inference/uplift in Python☆59Updated last year
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆81Updated 6 years ago
- Example causal datasets with consistent formatting and ground truth☆77Updated last year
- 🎯 Targeted Learning of the Causal Effects of Stochastic Interventions☆17Updated 4 months ago
- Code to run submissions for the Atlantic Causal Inference Competition☆42Updated 6 months ago
- Makes algorithms/code in Tetrad available in Python via JPype☆69Updated this week