tcassou / causal_impact
Python package for causal inference using Bayesian structural time-series models.
☆239Updated 4 years ago
Alternatives and similar repositories for causal_impact:
Users that are interested in causal_impact are comparing it to the libraries listed below
- Python port of CausalImpact R library☆283Updated 11 months ago
- GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3☆327Updated 4 years ago
- Hierarchical Time Series Forecasting with a familiar API☆224Updated last year
- Hierarchical Time Series Forecasting using Prophet☆144Updated 4 years ago
- Bayesian Additive Regression Trees For Python☆223Updated last year
- Causal Inference in Python☆565Updated 4 years ago
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆347Updated last year
- PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.☆461Updated 2 months ago
- A python library for Bayesian time series modeling☆483Updated 6 months ago
- Causal Graphical Models in Python☆244Updated 2 years ago
- ☆283Updated last year
- An extension of CatBoost to probabilistic modelling☆143Updated last year
- Time should be taken seer-iously☆314Updated 2 years ago
- Some notes on Causal Inference, with examples in python☆152Updated 5 years ago
- Python implementation of the rulefit algorithm☆419Updated last year
- ☆158Updated 2 years ago
- Confidence intervals for scikit-learn forest algorithms☆285Updated 8 months ago
- Repo for the ML_Insights python package☆150Updated last year
- A garden for scikit-learn compatible trees☆286Updated 9 months ago
- pymc-learn: Practical probabilistic machine learning in Python☆227Updated 4 years ago
- Python package for Imputation Methods☆248Updated last year
- 💊 Comparing causality methods in a fair and just way.☆138Updated 5 years ago
- Demo Weibull Time-to-event Recurrent Neural Network in Keras☆221Updated 5 years ago
- scikit-learn compatible implementation of stability selection.☆212Updated last year
- UpliftML: A Python Package for Scalable Uplift Modeling☆325Updated 2 years ago
- BATS and TBATS forecasting methods☆183Updated last year
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆633Updated 2 months ago
- Uplift modeling package.☆373Updated 2 years ago
- Mixed Effects Random Forest☆225Updated 9 months ago
- scikit-learn-inspired time series☆200Updated last year