uber / causalmlLinks
Uplift modeling and causal inference with machine learning algorithms
☆5,566Updated last month
Alternatives and similar repositories for causalml
Users that are interested in causalml are comparing it to the libraries listed below
Sorting:
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,267Updated 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…☆7,681Updated last week
- An index of algorithms for learning causality with data☆3,183Updated 7 months ago
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,365Updated last year
- Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆3,047Updated last month
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,193Updated last year
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,318Updated 3 years ago
- Causal Discovery in Python. It also includes (conditional) independence tests and score functions.☆1,444Updated 2 months ago
- Natural Gradient Boosting for Probabilistic Prediction☆1,768Updated 2 weeks ago
- A Python package for modular causal inference analysis and model evaluations☆786Updated 5 months ago
- Generalized Random Forests☆1,042Updated last month
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,439Updated last month
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆1,993Updated 3 months ago
- Must-read papers and resources related to causal inference and machine (deep) learning☆737Updated 2 years ago
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML☆776Updated 2 months ago
- DoubleML - Double Machine Learning in Python☆643Updated this week
- uplift modeling in scikit-learn style in python☆776Updated last year
- Repository with code and slides for a tutorial on causal inference.☆579Updated 5 years ago
- A curated list of causal inference libraries, resources, and applications.☆1,048Updated 4 months ago
- Causal Inference in Python☆573Updated 2 months ago
- Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at☆1,519Updated last month
- Fit interpretable models. Explain blackbox machine learning.☆6,659Updated this week
- A Python package for causal inference in quasi-experimental settings☆1,032Updated this week
- Trustworthy AI related projects☆1,067Updated 3 weeks ago
- ☆279Updated 3 years ago
- Causal Inference and Discovery in Python by Packt Publishing☆912Updated this week
- ☆498Updated 8 months ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆644Updated 7 months ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,491Updated last week
- Algorithms for explaining machine learning models☆2,551Updated this week