uber / causalml
Uplift modeling and causal inference with machine learning algorithms
☆5,357Updated last month
Alternatives and similar repositories for causalml:
Users that are interested in causalml are comparing it to the libraries listed below
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,060Updated this week
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…☆7,424Updated this week
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,302Updated 10 months ago
- An index of algorithms for learning causality with data☆3,126Updated 3 months ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,170Updated last year
- A Python package for modular causal inference analysis and model evaluations☆766Updated 2 weeks ago
- Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆2,922Updated 4 months ago
- Causal Discovery in Python. It also includes (conditional) independence tests and score functions.☆1,332Updated 2 weeks ago
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML☆758Updated 8 months ago
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,303Updated 3 years ago
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,398Updated 5 months ago
- Must-read papers and resources related to causal inference and machine (deep) learning☆699Updated 2 years ago
- Repository with code and slides for a tutorial on causal inference.☆575Updated 5 years ago
- Natural Gradient Boosting for Probabilistic Prediction☆1,696Updated 3 weeks ago
- Causal Inference in Python☆567Updated 4 years ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆636Updated 3 months ago
- A Python package for causal inference in quasi-experimental settings☆973Updated this week
- DoubleML - Double Machine Learning in Python☆574Updated this week
- Fit interpretable models. Explain blackbox machine learning.☆6,465Updated last week
- uplift modeling in scikit-learn style in python☆762Updated last year
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆1,960Updated last month
- Feature engineering package with sklearn like functionality☆2,036Updated this week
- An R package for causal inference in time series☆1,739Updated last year
- A data index for learning causality.☆465Updated last year
- Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at☆1,448Updated 4 months ago
- Generalized Random Forests☆1,013Updated last week
- A python library for decision tree visualization and model interpretation.☆3,049Updated last month
- An open source python library for automated feature engineering☆7,428Updated this week
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,769Updated this week
- ☆478Updated 4 months ago