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:
- A curated list of awesome work on causal inference, particularly in machine learning.☆112Updated 4 years ago
- ☆194Updated 2 years ago
- A (concise) curated list of awesome Causal Inference resources.☆248Updated 3 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…☆340Updated last year
- ☆38Updated 6 months ago
- A data index for learning causality.☆480Updated 2 years ago
- Example causal datasets with consistent formatting and ground truth☆100Updated 8 months ago
- Active Bayesian Causal Inference (Neurips'22)☆60Updated last year
- Solutions on "Causal Inference in Statistics: A Primer" using Jupyter Notebook, Python☆31Updated 7 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆84Updated 4 years ago
- Scalable open-source software to run, develop, and benchmark causal discovery algorithms☆74Updated last week
- Notebooks for Applied Causal Inference Powered by ML and AI☆140Updated 9 months ago
- Short tutorials on the use of machine learning methods for causal inference☆49Updated 3 years ago
- CSuite: A Suite of Benchmark Datasets for Causality☆80Updated 2 years ago
- Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"☆169Updated last year
- ☆32Updated 3 months ago
- Causal discovery algorithms and tools for implementing new ones☆241Updated 5 months ago
- 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
- Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".☆27Updated 4 years ago
- Solving the causality pairs challenge (does A cause B) with ChatGPT☆79Updated last year
- Library for graphical models of decision making, based on pgmpy and networkx☆111Updated 2 years ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆160Updated 4 years ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated 11 months ago
- Materials Collection for Causal Inference☆47Updated 2 years ago
- Must-read papers and resources related to causal inference and machine (deep) learning☆743Updated 3 years ago
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆63Updated 7 months ago
- Causal Inference in Python☆44Updated 2 months ago
- [Experimental] Global causal discovery algorithms☆110Updated this week
- Implementation of "Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework" (JASA 2023)☆32Updated 2 years ago