jneuer / pearl-primerLinks
Notes for Judea Pearl et al., *Causal Inference in Statistics, a Primer*
☆68Updated 6 years ago
Alternatives and similar repositories for pearl-primer
Users that are interested in pearl-primer are comparing it to the libraries listed below
Sorting:
- ☆191Updated 2 years ago
- A curated list of awesome work on causal inference, particularly in machine learning.☆109Updated 4 years ago
- Resources related to causality☆266Updated last year
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆341Updated last year
- ☆38Updated 5 months ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆80Updated 4 years ago
- Example causal datasets with consistent formatting and ground truth☆95Updated 7 months ago
- A (concise) curated list of awesome Causal Inference resources.☆244Updated 3 years ago
- Notebooks for Applied Causal Inference Powered by ML and AI☆137Updated 7 months ago
- Short tutorials on the use of machine learning methods for causal inference☆48Updated 2 years ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated 10 months ago
- A data index for learning causality.☆480Updated 2 years ago
- Active Bayesian Causal Inference (Neurips'22)☆58Updated last year
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆159Updated 4 years ago
- ☆31Updated 2 months ago
- Must-read papers and resources related to causal inference and machine (deep) learning☆741Updated 2 years ago
- CSuite: A Suite of Benchmark Datasets for Causality☆78Updated 2 years ago
- Causal Inference in Python☆44Updated last month
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆150Updated last year
- Solutions on "Causal Inference in Statistics: A Primer" using Jupyter Notebook, Python☆31Updated 7 years ago
- Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".☆26Updated 3 years ago
- Materials Collection for Causal Inference☆47Updated 2 years ago
- A collection of visual guides to help applied scientists learn causal inference.☆285Updated 3 years ago
- Causal discovery algorithms and tools for implementing new ones☆237Updated 4 months ago
- [Experimental] Global causal discovery algorithms☆109Updated this week
- [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.☆62Updated this week
- An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)☆64Updated 4 years ago
- Scalable open-source software to run, develop, and benchmark causal discovery algorithms☆72Updated last week
- My answers to the study questions in the book "Causal inference in statistics: a primer" by Judea Pearl, Madelyn Glymour and Nicholas P. …☆15Updated 5 years ago
- EconML/CausalML KDD 2021 Tutorial☆163Updated 2 years ago