benmiroglio / pymatchLinks
☆290Updated 2 years ago
Alternatives and similar repositories for pymatch
Users that are interested in pymatch are comparing it to the libraries listed below
Sorting:
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆351Updated 2 years ago
- Causal Inference in Python☆569Updated 3 weeks ago
- Python package for causal inference using Bayesian structural time-series models.☆240Updated 4 years ago
- Python port of CausalImpact R library☆287Updated last year
- Uplift modeling package.☆374Updated 2 years ago
- A Python package for propensity score matching☆53Updated 3 years ago
- Bayesian Additive Regression Trees For Python☆230Updated last year
- ☆103Updated 4 years ago
- Repository with code and slides for a tutorial on causal inference.☆576Updated 5 years ago
- A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.☆22Updated 8 years ago
- A Python package for causal inference using Synthetic Controls☆185Updated last year
- Some notes on Causal Inference, with examples in python☆153Updated 5 years ago
- Python implementation of the rulefit algorithm☆421Updated last year
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆641Updated 6 months ago
- EconML/CausalML KDD 2021 Tutorial☆160Updated last year
- Improving XGBoost survival analysis with embeddings and debiased estimators☆341Updated 9 months ago
- UpliftML: A Python Package for Scalable Uplift Modeling☆327Updated 2 years ago
- Multi-Touch Attribution☆116Updated 3 years ago
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆64Updated last year
- Uplift modeling and evaluation library. Actively maintained pypi version.☆75Updated last year
- A Python package for modular causal inference analysis and model evaluations☆781Updated 3 months ago
- Open source package for Survival Analysis modeling☆360Updated last year
- 💊 Comparing causality methods in a fair and just way.☆139Updated 5 years ago
- AutoML for causal inference.☆224Updated 6 months ago
- Fit Sparse Synthetic Control Models in Python☆83Updated last year
- Time should be taken seer-iously☆316Updated 2 years ago
- DoubleML - Double Machine Learning in Python☆614Updated last week
- Hierarchical Time Series Forecasting using Prophet☆143Updated 4 years ago
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,314Updated 3 years ago
- machine learning with logical rules in Python☆641Updated last year