andrewtavis / causeinferLinks
Machine learning based causal inference/uplift in Python
β61Updated last year
Alternatives and similar repositories for causeinfer
Users that are interested in causeinfer are comparing it to the libraries listed below
Sorting:
- Comparing different performance estimation methods for time series forecasting tasksβ38Updated 6 months ago
- πͺ Bayesian Hierarchical Models at Scaleβ51Updated 4 years ago
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and β¦β63Updated 3 years ago
- Time Series Forecasting and Imputationβ48Updated 3 years ago
- An extension of CatBoost to probabilistic modellingβ148Updated 2 years ago
- Machine Learning models using a Bayesian approach and often PyMC3β25Updated 4 years ago
- A full example for causal inference on real-world retail data, for elasticity estimationβ52Updated 4 years ago
- Bayesian time series forecasting and decision analysisβ118Updated 2 years ago
- The lite version of the package pydlm. A lite yet powerful Bayesian dynamic modeling libraryβ12Updated 7 years ago
- π Comparing causality methods in a fair and just way.β140Updated 5 years ago
- State Space Estimation of Time Series Models in Python: Statsmodelsβ44Updated 8 years ago
- This repository contains the experiments related with a new baseline model that can be used in forecasting weekly time series. This modelβ¦β47Updated 3 years ago
- Example usage of scikit-htsβ57Updated 3 years ago
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Applicationβ¦β25Updated 3 years ago
- (Python, R) Cost-sensitive multiclass classification (Weighted-All-Pairs, Filter-Tree & others)β49Updated 5 months ago
- Compute set of important operations for HCTSA codeβ27Updated 5 years ago
- R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''β46Updated 5 years ago
- β17Updated 6 years ago
- Time Series Forecasting Frameworkβ41Updated 2 years ago
- Unstructured Code with interesting analysisβ37Updated last year
- A python package for hierarchical forecasting, inspired by hts package in R.β28Updated 8 months ago
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and muβ¦β71Updated 6 months ago
- Python package for Wald's sequential probability ratio testβ47Updated last year
- A framework to infer causality on a pair of time series of real numbers based on Variable-lag Granger causality and transfer entropy.β56Updated last year
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical dataβ62Updated 3 months ago
- Fit Sparse Synthetic Control Models in Pythonβ87Updated last year
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inferenceβ27Updated 5 years ago
- EconML/CausalML KDD 2021 Tutorialβ163Updated 2 years ago
- Code for blog posts.β20Updated 2 years ago
- β19Updated 7 years ago