rguo12 / awesome-causality-algorithmsLinks
An index of algorithms for learning causality with data
☆3,159Updated 5 months ago
Alternatives and similar repositories for awesome-causality-algorithms
Users that are interested in awesome-causality-algorithms are comparing it to the libraries listed below
Sorting:
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,184Updated last year
- Must-read papers and resources related to causal inference and machine (deep) learning☆729Updated 2 years ago
- Causal Discovery in Python. It also includes (conditional) independence tests and score functions.☆1,404Updated 2 weeks ago
- A data index for learning causality.☆471Updated last year
- Uplift modeling and causal inference with machine learning algorithms☆5,485Updated last week
- Trustworthy AI related projects☆1,053Updated last month
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,193Updated last week
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…☆7,583Updated this week
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,314Updated 3 years ago
- Repository with code and slides for a tutorial on causal inference.☆576Updated 5 years ago
- We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NU…☆519Updated 2 years ago
- DAGs with NO TEARS: Continuous Optimization for Structure Learning☆635Updated last year
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML☆767Updated 3 weeks ago
- Generalized Random Forests☆1,037Updated 3 weeks ago
- A Python package for modular causal inference analysis and model evaluations☆781Updated 3 months ago
- A curated list of causal inference libraries, resources, and applications.☆1,023Updated 3 months ago
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,345Updated last year
- Causal Inference in Python☆569Updated 3 weeks ago
- ☆272Updated 3 years ago
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆330Updated 8 months ago
- Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆3,004Updated 7 months ago
- Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at☆1,490Updated last week
- Counterfactual Regression☆310Updated 2 years ago
- Causal Effect Inference with Deep Latent-Variable Models☆343Updated 5 years ago
- Python Library for Causal and Probabilistic Modeling using Bayesian Networks☆3,000Updated this week
- ☆495Updated 7 months ago
- Python package for causal discovery based on LiNGAM.☆432Updated 2 weeks ago
- Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.☆424Updated this week
- Resources related to causality☆264Updated last year
- ☆205Updated 2 years ago