Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed causal structure.
☆88Mar 29, 2021Updated 5 years ago
Alternatives and similar repositories for realcause
Users that are interested in realcause are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code accompanying the paper "Empirical analysis of model selection for heterogeneous causal effect estimation"☆17Jan 28, 2025Updated last year
- ACM CHIL 2021: "Enabling Counterfactual Survival Analysis with Balanced Representations"☆13Apr 4, 2021Updated 5 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆25Dec 6, 2022Updated 3 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆158Jun 22, 2024Updated 2 years ago
- This repository collects recent top papers about causal inference for recommendation. We will keep updating the paper list weekly.☆16May 3, 2022Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- R package for nonparametric estimation of counterfactual survival functions and survival contrasts from right-censored data with an obser…☆13Jul 7, 2023Updated 3 years ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆59May 17, 2025Updated last year
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆86Dec 20, 2024Updated last year
- Repository for the review paper "Deep Learning for Survival Analysis: A Review"☆30Feb 25, 2025Updated last year
- Pytorch implementation of "Adapting Text Embeddings for Causal Inference"☆92Jan 25, 2022Updated 4 years ago
- Implementation of paper Long-Term Effect Estimation with Surrogate Representation☆13Oct 20, 2020Updated 5 years ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆84May 23, 2018Updated 8 years ago
- Predicting treatment effects from RCTs (Circulation: CQO 2019).☆10Jun 21, 2022Updated 4 years ago
- Adaptive debiased machine learning of treatment effects with the highly adaptive lasso☆15Feb 28, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-ca…☆24Mar 1, 2023Updated 3 years ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆42Apr 26, 2022Updated 4 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆95Mar 24, 2023Updated 3 years ago
- Simulations for predictive model selection in causal inference☆13Jan 16, 2025Updated last year
- ☆12Aug 18, 2022Updated 4 years ago
- This is the course project for CSCE585: ML Systems. Students will build their machine learning systems based on the provided infrastructu…☆12Dec 15, 2020Updated 5 years ago
- Bounding causal effects in general (continuous, non-additive) instrumental variable models.☆14Jul 6, 2023Updated 3 years ago
- Super learning of conditional survival functions with right-censored time-to-event outcomes in discrete or continuous time.☆15Dec 9, 2024Updated last year
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,238Oct 13, 2025Updated 11 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Deconfounding Reinforcement Learning in Observational Settings☆52Apr 13, 2019Updated 7 years ago
- [TMLR23] FedDAG: Federated DAG Structure Learning☆20Jan 7, 2023Updated 3 years ago
- Reimplementation of NOTEARS in Tensorflow☆32Mar 24, 2023Updated 3 years ago
- CausaLM: Causal Model Explanation Through Counterfactual Language Models☆56Jun 14, 2020Updated 6 years ago
- A collection of visual guides to help applied scientists learn causal inference.☆308Sep 12, 2022Updated 4 years ago
- CausalPFN: Amortized Causal Effect Estimation via In-Context Learning☆122Aug 26, 2026Updated 3 weeks ago
- ☆12Aug 16, 2022Updated 4 years ago
- Simulation code for reference with MABUC article: Bareinboim, Forney, & Pearl (2015)☆18Nov 11, 2015Updated 10 years ago
- ☆32Oct 13, 2021Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Causal Discovery in Python. Learning causality from data.☆1,685Sep 4, 2026Updated 2 weeks ago
- A Python package for modular causal inference analysis and model evaluations☆836May 26, 2026Updated 3 months ago
- Structural Causal Bandit☆28Sep 6, 2026Updated last week
- A Python Framework for Automatically Evaluating various Uplift Modeling Algorithms to Estimate Individual Treatment Effects☆24Aug 14, 2023Updated 3 years ago
- Metalearners for Survival Data☆15Jul 31, 2023Updated 3 years ago
- ☆33Apr 17, 2025Updated last year
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆132Mar 24, 2023Updated 3 years ago