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:
- πͺ Bayesian Hierarchical Models at Scaleβ51Updated 3 years ago
- Comparing different performance estimation methods for time series forecasting tasksβ37Updated 4 months ago
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and muβ¦β69Updated 4 months ago
- An extension of CatBoost to probabilistic modellingβ147Updated last year
- Bayesian time series forecasting and decision analysisβ117Updated 2 years ago
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and β¦β63Updated 3 years ago
- Fit Sparse Synthetic Control Models in Pythonβ85Updated last year
- Machine Learning models using a Bayesian approach and often PyMC3β25Updated 4 years ago
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Applicationβ¦β25Updated 3 years ago
- A full example for causal inference on real-world retail data, for elasticity estimationβ52Updated 4 years ago
- β17Updated 5 years ago
- 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
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inferenceβ27Updated 5 years ago
- State Space Estimation of Time Series Models in Python: Statsmodelsβ44Updated 8 years ago
- Time Series Forecasting and Imputationβ48Updated 3 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
- Repository containing the code of the projects presented in my personal website.β42Updated this week
- Example usage of scikit-htsβ57Updated 3 years ago
- Distributed ARIMA Modelsβ26Updated 2 years ago
- Code for blog posts.β20Updated last year
- π Comparing causality methods in a fair and just way.β140Updated 5 years ago
- The lite version of the package pydlm. A lite yet powerful Bayesian dynamic modeling libraryβ12Updated 7 years ago
- R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''β46Updated 5 years ago
- Data for and description of the ACIC 2023 data competitionβ32Updated 2 years ago
- Code associated with paper: Plug-in Regularized Estimation of High-Dimensional Parameters in Nonlinear Semiparametric Models, Chernozhukβ¦β16Updated 4 years ago
- Causing: CAUsal INterpretation using Graphsβ58Updated last week
- A python package for hierarchical forecasting, inspired by hts package in R.β28Updated 6 months ago
- Tweedie family density estimation in pythonβ30Updated last year
- Logistic regression with bound and linear constraints. L1, L2 and Elastic-Net regularization.β33Updated 2 years ago
- Unstructured Code with interesting analysisβ37Updated 10 months ago