discdiver / causal-inference-python-packages
List of python packages for causal inference
☆17Updated 2 years ago
Related projects: ⓘ
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆78Updated 9 months ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆68Updated 3 years ago
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆56Updated last year
- Python package for the creation, manipulation, and learning of Causal DAGs☆144Updated last year
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆57Updated 3 months ago
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…☆59Updated last month
- Some notes on Causal Inference, with examples in python☆149Updated 4 years ago
- ☆75Updated 4 years ago
- ☆87Updated 4 years ago
- Materials Collection for Causal Inference☆37Updated last year
- 💊 Comparing causality methods in a fair and just way.☆138Updated 4 years ago
- Causal Inference & Deep Learning, MIT IAP 2018☆85Updated 6 years ago
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆72Updated 4 years ago
- Flowchart to help choose which causal inference book to read. See https://bradyneal.github.io/which-causal-inference-book for more info s…☆57Updated 4 years ago
- Active Bayesian Causal Inference (Neurips'22)☆46Updated last month
- Resources related to causality☆252Updated 7 months ago
- Causal Inference in Python☆35Updated 3 weeks ago
- Causal Graphical Models in Python☆240Updated last year
- Short tutorials on the use of machine learning methods for causal inference☆46Updated last year
- Materials of the Nordic Probabilistic AI School 2019.☆129Updated 4 years ago
- A curated list of awesome work on causal inference, particularly in machine learning.☆95Updated 3 years ago
- Code for blog posts.☆17Updated 10 months ago
- [Experimental] Global causal discovery algorithms☆82Updated last week
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆41Updated 11 months ago
- TIme series DiscoverY BENCHmark (tidybench)☆37Updated 6 months ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆80Updated 6 years ago
- A Python package for building Bayesian models with TensorFlow or PyTorch☆170Updated 2 years ago
- Model Agnostic Counterfactual Explanations☆86Updated last year
- Experimental library integrating LLM capabilities to support causal analyses☆70Updated last week
- python tools to check recourse in linear classification☆74Updated 3 years ago