vveitch / causality-tutorialsLinks
Short tutorials on the use of machine learning methods for causal inference
☆48Updated 2 years ago
Alternatives and similar repositories for causality-tutorials
Users that are interested in causality-tutorials are comparing it to the libraries listed below
Sorting:
- ☆189Updated 2 years ago
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆335Updated 10 months ago
- Example causal datasets with consistent formatting and ground truth☆87Updated 4 months ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆77Updated 4 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆143Updated last year
- Notebooks for Applied Causal Inference Powered by ML and AI