vveitch / causality-tutorialsLinks
Short tutorials on the use of machine learning methods for causal inference
☆50Updated 3 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:
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆86Updated 4 years ago
- ☆194Updated 2 years ago
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆344Updated last year
- Code for the paper "Local Causal Discovery for Estimating Causal Effects".☆11Updated last year
- Example causal datasets with consistent formatting and ground truth☆104Updated 9 months ago
- Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".☆27Updated 4 years ago
- Scalable open-source software to run, develop, and benchmark causal discovery algorithms☆77Updated last week
- CSuite: A Suite of Benchmark Datasets for Causality☆81Updated 2 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆154Updated last year
- Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)☆16Updated 5 years ago
- Must-read papers and resources related to causal inference and machine (deep) learning☆749Updated 3 years ago
- Notebooks for Applied Causal Inference Powered by ML and AI☆143Updated 10 months ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆178Updated last year
- Causal discovery algorithms and tools for implementing new ones☆245Updated 6 months ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆161Updated 4 years ago
- Non-parametrics for Causal Inference☆50Updated 3 years ago
- Resources related to causality☆267Updated last year
- ☆23Updated 3 years ago
- A curated list of awesome work on causal inference, particularly in machine learning.☆112Updated 4 years ago
- A data index for learning causality.☆482Updated 2 years ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆84Updated last year
- ☆14Updated 11 months ago
- Data from the HeartSteps V1 study☆19Updated 2 years ago
- A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matr…☆138Updated 2 years ago
- Code for "Counterfactual Fairness" (NIPS2017)☆55Updated 7 years ago
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆71Updated 11 months ago
- ☆22Updated 2 years ago
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆45Updated 2 years ago
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…☆62Updated last year
- Design of Simulations using WGAN☆56Updated 3 years ago