inovex / justcauseLinks
💊 Comparing causality methods in a fair and just way.
☆139Updated 5 years ago
Alternatives and similar repositories for justcause
Users that are interested in justcause are comparing it to the libraries listed below
Sorting:
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆58Updated last month
- AutoML for causal inference.☆223Updated 6 months ago
- Fit Sparse Synthetic Control Models in Python☆83Updated last year
- Some notes on Causal Inference, with examples in python☆153Updated 5 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆142Updated last year
- A full example for causal inference on real-world retail data, for elasticity estimation☆50Updated 3 years ago
- List of python packages for causal inference☆17Updated 3 years ago
- [Experimental] Global causal discovery algorithms☆103Updated this week
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆83Updated 7 years ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆51Updated last month
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆81Updated 6 months ago
- Causal Graphical Models in Python☆245Updated 2 years ago
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆349Updated 2 years ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆156Updated 4 years ago
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆69Updated last month
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆63Updated last year
- 🪜 Bayesian Hierarchical Models at Scale☆52Updated 3 years ago
- A framework for generating complex and realistic datasets for use in evaluating causal inference methods.☆31Updated 3 years ago
- Confidence sequences and uniform boundaries☆63Updated 7 months ago
- Bayesian Additive Regression Trees For Python☆230Updated last year
- Python port of CausalImpact R library☆286Updated last year
- Python package for causal inference using Bayesian structural time-series models.☆240Updated 4 years ago
- EconML/CausalML KDD 2021 Tutorial☆160Updated last year
- Code for Shopper, a probabilistic model of shopping baskets☆52Updated 4 years ago
- Resources related to causality☆265Updated last year
- Multi-Objective Counterfactuals☆41Updated 2 years ago
- A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-ca…☆24Updated 2 years ago
- Data Efficient Decision Making☆247Updated 3 years ago
- A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.☆278Updated last year
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Updated 2 years ago