bookingcom / upliftmlLinks
UpliftML: A Python Package for Scalable Uplift Modeling
☆326Updated 2 years ago
Alternatives and similar repositories for upliftml
Users that are interested in upliftml are comparing it to the libraries listed below
Sorting:
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆348Updated 2 years ago
- Uplift modeling package.☆373Updated 2 years ago
- Uplift modeling and evaluation library. Actively maintained pypi version.☆75Updated last year
- Hierarchical Time Series Forecasting with a familiar API☆224Updated 2 years ago
- Python port of CausalImpact R library☆286Updated last year
- ☆347Updated 9 months ago
- uplift modeling in scikit-learn style in python☆767Updated last year
- AutoML for causal inference.☆221Updated 5 months ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆638Updated 4 months ago
- ☆34Updated 6 years ago
- Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data☆176Updated 9 months ago
- ☆289Updated last year
- Bayesian A/B testing☆78Updated last week
- Python package for causal inference using Bayesian structural time-series models.☆240Updated 4 years ago
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆69Updated last month
- Fast SHAP value computation for interpreting tree-based models☆540Updated last year
- Buy Till You Die and Customer Lifetime Value statistical models in Python.☆117Updated last year
- DoubleML - Double Machine Learning in Python☆594Updated last week
- 💊 Comparing causality methods in a fair and just way.☆139Updated 5 years ago
- A tour through recommendation algorithms in python [IN PROGRESS]☆177Updated 5 months ago
- Multi-Touch Attribution☆116Updated 3 years ago
- Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…☆476Updated 2 months ago
- Time should be taken seer-iously☆316Updated 2 years ago
- A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.☆278Updated last year
- Open source package for Survival Analysis modeling☆359Updated last year
- ☆114Updated last year
- Python implementation of the rulefit algorithm☆420Updated last year
- ☆273Updated 6 months ago
- Simple but Flexible Recommendation Engine in PyTorch☆134Updated 3 years ago
- A Python package for Bayesian A/B Testing☆61Updated last year