A (concise) curated list of awesome Causal Inference resources.
☆260Sep 13, 2022Updated 3 years ago
Alternatives and similar repositories for awesome-causal-inference
Users that are interested in awesome-causal-inference are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A curated list of awesome work on causal inference, particularly in machine learning.☆113May 1, 2021Updated 5 years ago
- We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NU…☆516Mar 3, 2023Updated 3 years ago
- Resources related to causality☆269Feb 19, 2024Updated 2 years ago
- An index of algorithms for learning causality with data☆3,269Jan 22, 2025Updated last year
- A curated list of Causality in Computer Vision☆241Oct 23, 2021Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Must-read papers and resources related to causal inference and machine (deep) learning☆751Nov 23, 2022Updated 3 years ago
- R package for Bayesian multi-state modelling of chronic disease burden data☆10Apr 28, 2026Updated last month
- A curated list of causal inference libraries, resources, and applications.☆1,162Apr 21, 2026Updated last month
- ☆40Jan 25, 2022Updated 4 years ago
- Articles/ Journals and Videos related to Economics and Data Science☆131Jun 9, 2022Updated 4 years ago
- Uplift modeling and causal inference with machine learning algorithms☆5,858May 16, 2026Updated 3 weeks ago
- Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆3,372Apr 8, 2026Updated 2 months ago
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆18May 12, 2026Updated 3 weeks ago
- R Companion to the textbook "Econometrics" by Fumio Hayashi☆38Feb 8, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- A data index for learning causality.☆491Oct 25, 2023Updated 2 years ago
- sharing code for the GBD 2021 anemia paper which will be published in the Lancet Haematology INFR-15310☆12May 17, 2023Updated 3 years ago
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆354Oct 17, 2024Updated last year
- Useful Stata routines☆16Jul 22, 2025Updated 10 months ago
- Causal-inference oriented doctoral econometrics course at UO☆15Jun 9, 2022Updated 4 years ago
- Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial☆39Jan 7, 2021Updated 5 years ago
- ☆14Feb 22, 2023Updated 3 years ago
- This is the course repository for the Spring 2020 iteration of MACS 30123 "Large-Scale Computing for the Social Sciences" at the Universi…☆22May 21, 2020Updated 6 years ago
- Course material for the Winter 2020 Edition of PP4RS at Uni Zurich☆18Feb 24, 2020Updated 6 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- a pytorch extension for learning point clouds☆36May 14, 2020Updated 6 years ago
- Survival Extrapolation With a Flexible Parametric Model and External Data☆12Mar 10, 2026Updated 2 months ago
- The official PyTorch implementation of "Causal Learning Empowered OD Prediction for Urban Planning" (CIKM 2022).☆11Mar 10, 2023Updated 3 years ago
- Online exercise classes for the course "Social Data Science: Econometrics and Machine Learning"☆12Jun 18, 2020Updated 5 years ago
- Econometrics in Julia☆79Mar 27, 2025Updated last year
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,350Jan 8, 2022Updated 4 years ago
- Illustration of counterfactual inference following Ferenc Huszar example☆13Aug 15, 2025Updated 9 months ago
- python interface to bnlearn and other probabilistic graphical model libraries☆10Mar 26, 2020Updated 6 years ago
- Slides for the Seattle University Causal Inference Class☆148Mar 4, 2021Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- 🎯 Targeted Learning in R: A Causal Data Science Handbook☆61Oct 24, 2024Updated last year
- Course materials for Ec240a "Econometrics" at UC Berkeley.☆59Dec 15, 2023Updated 2 years ago
- pure pytorch implements for "GraphX-convolution for point cloud deformation in 2D-to-3D conversion" , official implements is not pure-pyt…☆10Jan 5, 2020Updated 6 years ago
- autumn: Fast, Modern, and Tidy-Friendly Iterative Raking in R.☆45Jan 31, 2024Updated 2 years ago
- 🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention☆13Aug 6, 2022Updated 3 years ago
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆800Dec 1, 2025Updated 6 months ago
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,654Updated this week