UpliftML: A Python Package for Scalable Uplift Modeling
☆329Mar 23, 2023Updated 2 years ago
Alternatives and similar repositories for upliftml
Users that are interested in upliftml are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆353May 13, 2023Updated 2 years ago
- uplift modeling in scikit-learn style in python☆801Oct 21, 2023Updated 2 years ago
- Uplift modeling and causal inference with machine learning algorithms☆5,765Mar 13, 2026Updated last week
- Uplift modeling package.☆377Oct 28, 2022Updated 3 years ago
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆72Apr 26, 2025Updated 10 months ago
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,542Updated this week
- Reinforcement Learning for Uplift Modeling☆13Mar 13, 2021Updated 5 years ago
- DoubleML - Double Machine Learning in Python☆718Mar 13, 2026Updated last week
- PySpark-based causal inference package.☆13Aug 20, 2021Updated 4 years ago
- A Python Framework for Automatically Evaluating various Uplift Modeling Algorithms to Estimate Individual Treatment Effects☆22Aug 14, 2023Updated 2 years ago
- My collection of causal inference algorithms built on top of accessible, simple, out-of-the-box ML methods, aimed at being explainable an…☆32Dec 26, 2022Updated 3 years ago
- ☆24Aug 30, 2021Updated 4 years ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆670Jan 13, 2025Updated last year
- A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-ca…☆24Mar 1, 2023Updated 3 years ago
- Multi Destination Trips dataset for research purposes - fully anonymized, sampled, limited☆17Jul 9, 2022Updated 3 years ago
- ☆10Jul 12, 2023Updated 2 years ago
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆2,041Mar 3, 2026Updated 2 weeks ago
- A Python package for causal inference in quasi-experimental settings☆1,126Updated this week
- A Python package for modular causal inference analysis and model evaluations☆811Apr 6, 2025Updated 11 months ago
- Data for and description of the ACIC 2023 data competition☆32Jun 9, 2023Updated 2 years ago
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…☆7,999Mar 14, 2026Updated last week
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆440Apr 23, 2024Updated last year
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,444Jun 26, 2024Updated last year
- ☆372Aug 8, 2024Updated last year
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,525Updated this week
- Unstructured Code with interesting analysis☆36Oct 17, 2024Updated last year
- The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to s…☆740Updated this week
- Package for building Market Segmentation Trees, Choice Model Trees, and Isotonic Regression Trees☆16Apr 21, 2023Updated 2 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Mar 24, 2023Updated 2 years ago
- A flexible python package for cost-aware uplift modelling.☆41Jan 12, 2026Updated 2 months ago
- 🪜 Bayesian Hierarchical Models at Scale☆51Sep 3, 2021Updated 4 years ago
- Causal Inference Using Quasi-Experimental Methods☆20Jan 15, 2021Updated 5 years ago
- Python implementations of contextual bandits algorithms☆824Feb 22, 2026Updated last month
- Time should be taken seer-iously☆320Mar 17, 2023Updated 3 years ago
- 🛠 How to Apply Causal ML to Real Scene Modeling？How to learn Causal ML？【✔从Causal ML到实际场景的Uplift建模】☆149Mar 25, 2023Updated 2 years ago
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆737Updated this week
- Code and notebooks for my Medium blog posts☆131Mar 17, 2024Updated 2 years ago
- Uplift Modeling for Multiple Treatments☆16Sep 3, 2021Updated 4 years ago
- MLflow logging for PyMC☆14Aug 31, 2025Updated 6 months ago