ijmbarr / notes-on-causal-inferenceLinks
Some notes on Causal Inference, with examples in python
☆153Updated 5 years ago
Alternatives and similar repositories for notes-on-causal-inference
Users that are interested in notes-on-causal-inference are comparing it to the libraries listed below
Sorting:
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆156Updated 4 years ago
- Causal Inference in Python☆569Updated 3 weeks ago
- Causal Graphical Models in Python☆245Updated 2 years ago
- Repository with code and slides for a tutorial on causal inference.☆576Updated 5 years ago
- Bayesian Additive Regression Trees For Python☆230Updated last year
- Resources related to causality☆265Updated last year
- ☆205Updated 2 years ago
- 💊 Comparing causality methods in a fair and just way.☆139Updated 5 years ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆84Updated 7 years ago
- A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.☆22Updated 8 years ago
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆69Updated 2 months ago
- EconML/CausalML KDD 2021 Tutorial☆160Updated last year
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆64Updated last year
- Python package for causal inference using Bayesian structural time-series models.☆240Updated 4 years ago
- Materials Collection for Causal Inference☆47Updated 2 years ago
- ☆87Updated 5 years ago
- ☆289Updated 2 years ago
- A data index for learning causality.☆471Updated last year
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML☆767Updated 2 weeks ago
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆60Updated 2 months ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆142Updated last year
- A Python package for propensity score matching☆53Updated 3 years ago
- ☆467Updated last year
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆88Updated 2 years ago
- ☆103Updated 4 years ago
- ☆92Updated 7 months ago
- List of python packages for causal inference☆17Updated 3 years ago
- ☆79Updated 4 years ago
- Counterfactual Regression☆310Updated 2 years ago
- Python port of CausalImpact R library☆287Updated last year