AutoML for causal inference.
☆241Dec 18, 2024Updated last year
Alternatives and similar repositories for causaltune
Users that are interested in causaltune are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆221Dec 17, 2025Updated 5 months ago
- [Experimental] Global causal discovery algorithms☆112May 25, 2026Updated 2 weeks ago
- Data Efficient Decision Making☆251Jun 21, 2022Updated 3 years ago
- Python package for (conditional) independence testing and statistical functions related to causality.☆32Updated this week
- A Python package for causal inference in quasi-experimental settings☆1,149Jun 1, 2026Updated last week
- 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.
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,654Updated this week
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆59May 17, 2025Updated last year
- A Python package for modular causal inference analysis and model evaluations☆818May 26, 2026Updated 2 weeks ago
- ☆27Mar 24, 2025Updated last year
- DoubleML - Double Machine Learning in Python☆741Updated this week
- A Causal AI package for causal graphs.☆61Mar 4, 2026Updated 3 months ago
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,466Jun 26, 2024Updated last year
- Experimental library integrating LLM capabilities to support causal analyses☆306Jan 6, 2026Updated 5 months ago
- [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.☆65May 25, 2026Updated 2 weeks 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.
- 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
- A curated list of causal inference libraries, resources, and applications.☆1,162Apr 21, 2026Updated last month
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆671Jan 13, 2025Updated last year
- 💊 Comparing causality methods in a fair and just way.☆141Mar 23, 2020Updated 6 years ago
- Causal Discovery in Python. Learning causality from data.☆1,623Updated this week
- 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
- A resource list for causality in statistics, data science and physics☆267Jan 28, 2026Updated 4 months ago
- Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions☆11Jan 19, 2022Updated 4 years ago
- ☆32Jul 8, 2018Updated 7 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.
- Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at☆1,670Jan 14, 2026Updated 4 months ago
- difference-in-differences in Python☆110Apr 12, 2026Updated last month
- This repository provides R-code for the estimation of the conditional average treatment effect (CATE) using machine learning (ML) methods…☆36Jan 26, 2025Updated last year
- Uplift modeling and causal inference with machine learning algorithms☆5,858May 16, 2026Updated 3 weeks ago
- Replication files for Chernozhukov, Newey, Quintas-Martínez and Syrgkanis (2021) "RieszNet and ForestRiesz: Automatic Debiased Machine Le…☆16Jun 14, 2022Updated 3 years ago
- An index of algorithms for learning causality with data☆3,269Jan 22, 2025Updated last year
- Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…☆630Mar 7, 2026Updated 3 months ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆88Mar 29, 2021Updated 5 years ago
- ☆11Aug 28, 2024Updated last year
- 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.
- Python package for the creation, manipulation, and learning of Causal DAGs☆159Apr 12, 2023Updated 3 years ago
- Scalable open-source software to run, develop, and benchmark causal discovery algorithms☆83May 27, 2026Updated last week
- ☆12Aug 16, 2022Updated 3 years ago
- tests for cohort-level heterogeneity in panel regression☆11Mar 12, 2025Updated last year
- Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series☆535Oct 1, 2021Updated 4 years ago
- ☆28Dec 20, 2021Updated 4 years ago
- uplift modeling in scikit-learn style in python☆805Oct 21, 2023Updated 2 years ago