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.☆108Updated 4 years ago
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆341Updated last year
- ☆190Updated 2 years ago
- A (concise) curated list of awesome Causal Inference resources.☆243Updated 3 years ago
- Resources related to causality☆266Updated last year
- Solutions on "Causal Inference in Statistics: A Primer" using Jupyter Notebook, Python☆31Updated 7 years ago
- Notebooks for Applied Causal Inference Powered by ML and AI☆133Updated 7 months ago
- ☆37Updated 4 months ago
- Example causal datasets with consistent formatting and ground truth☆93Updated 6 months ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆79Updated 4 years ago
- Must-read papers and resources related to causal inference and machine (deep) learning☆739Updated 2 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
- Short tutorials on the use of machine learning methods for causal inference☆48Updated 2 years ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆158Updated 4 years ago
- Materials Collection for Causal Inference☆47Updated 2 years ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated 10 months ago
- Scalable open-source software to run, develop, and benchmark causal discovery algorithms☆72Updated this week
- A data index for learning causality.☆478Updated 2 years ago
- Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"☆163Updated last year
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆63Updated 6 months ago
- CSuite: A Suite of Benchmark Datasets for Causality☆76Updated 2 years ago
- python implementation of Peng Ding's "First Course in Causal Inference"☆173Updated last year
- Active Bayesian Causal Inference (Neurips'22)☆58Updated last year
- Causal Inference in Python☆44Updated 3 weeks ago
- Design of Simulations using WGAN☆53Updated 2 years ago
- Causal discovery algorithms and tools for implementing new ones☆230Updated 3 months ago
- [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.☆58Updated last week
- EconML/CausalML KDD 2021 Tutorial☆163Updated 2 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆148Updated last year
- Implementation of "Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework" (JASA 2023)☆31Updated 2 years ago