MLResearchAtOSRAM / cause2e
The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
☆58Updated last year
Alternatives and similar repositories for cause2e:
Users that are interested in cause2e are comparing it to the libraries listed below
- 💊 Comparing causality methods in a fair and just way.☆138Updated 4 years ago
- [Experimental] Global causal discovery algorithms☆98Updated 2 weeks ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆80Updated 3 months ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆82Updated 6 years ago
- Example causal datasets with consistent formatting and ground truth☆80Updated last year
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆56Updated 9 months ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆49Updated 3 months ago
- Makes algorithms/code in Tetrad available in Python via JPype☆71Updated this week
- [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.☆52Updated this week
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…☆59Updated 7 months ago
- A unified interface for the estimation of causal networks☆22Updated 5 years ago
- List of python packages for causal inference☆17Updated 3 years ago
- Ananke named for the Greek primordial goddess of necessity and causality, is a python package for causal inference using the language o…☆14Updated 4 years ago
- Scalable open-source software to run, develop, and benchmark causal discovery algorithms☆68Updated last week
- https://arxiv.org/abs/2009.01561☆22Updated 2 years ago
- AutoML for causal inference.☆220Updated 3 months ago
- An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)☆59Updated 4 years ago
- Multi-Objective Counterfactuals☆41Updated 2 years ago
- Some notes on Causal Inference, with examples in python☆152Updated 5 years ago
- ❓y0 (pronounced "why not?") is for causal inference in Python☆50Updated this week
- A full example for causal inference on real-world retail data, for elasticity estimation☆50Updated 3 years ago
- Python package for (conditional) independence testing and statistical functions related to causality.☆27Updated 2 months ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆72Updated 3 years ago
- Code associated with paper: Plug-in Regularized Estimation of High-Dimensional Parameters in Nonlinear Semiparametric Models, Chernozhuk…☆15Updated 4 years ago
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆66Updated 7 months ago
- In which I play with the ideas surrounding causality☆51Updated 2 years ago
- Causal Graphical Models in Python☆244Updated 2 years ago
- ☆204Updated last year
- Python package for the creation, manipulation, and learning of Causal DAGs☆152Updated last year
- This course is an overview of applied causal inference.☆42Updated 5 months ago