Public dataset repository for the Causal Chamber Project
☆62Apr 28, 2026Updated last week
Alternatives and similar repositories for causal-chamber
Users that are interested in causal-chamber 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 to reproduce the case studies of the 2024 paper "The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology" by Juan…☆18Jan 3, 2025Updated last year
- Framework to generate observational and interventional samples from structural equation models (SEMs)☆21Apr 14, 2025Updated last year
- Python implementation of the Invariant Causal Prediction (ICP) algorithm, from the 2015 paper "Causal inference using invariant predictio…☆25Feb 15, 2024Updated 2 years ago
- Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)☆17Jun 18, 2020Updated 5 years ago
- ☆22Nov 11, 2023Updated 2 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Quantile risk minimization☆26Aug 8, 2024Updated last year
- ☆36Aug 19, 2025Updated 8 months ago
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…☆17Jun 7, 2021Updated 4 years ago
- Scalable open-source software to run, develop, and benchmark causal discovery algorithms☆82May 1, 2026Updated last week
- Code for the NIPS 2018 paper "Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions"☆19Mar 31, 2021Updated 5 years ago
- Python implementation of the GES algorithm for causal discovery, from the 2002 paper "Optimal Structure Identification With Greedy Search…☆63Mar 3, 2025Updated last year
- An awesome list of Causality and Machine Learning related papers, books and other resources.☆12Nov 13, 2023Updated 2 years ago
- Hierarchical neural implicit inference over event ensembles. Code repository associated with https://arxiv.org/abs/2306.12584.☆13Jun 24, 2023Updated 2 years ago
- Active learning for optimal intervention design in causal models☆17Nov 8, 2023Updated 2 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.
- Code for the paper "Local Causal Discovery for Estimating Causal Effects".☆12Apr 9, 2024Updated 2 years ago
- CausalFlows: A library for Causal Normalizing Flows in Pytorch☆32Apr 30, 2025Updated last year
- ☆32Jul 8, 2018Updated 7 years ago
- ☆17Jun 7, 2024Updated last year
- ☆50Mar 20, 2024Updated 2 years ago
- Neuropathic Pain Diagnosis Simulator☆14Jul 6, 2023Updated 2 years ago
- Experimental library integrating LLM capabilities to support causal analyses☆303Jan 6, 2026Updated 4 months ago
- Python package for the creation, manipulation, and learning of Causal DAGs☆159Apr 12, 2023Updated 3 years ago
- A companion for the Causal Artificial Intelligence book.☆15Sep 24, 2025Updated 7 months 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.
- ☆13Feb 20, 2024Updated 2 years ago
- Code for the causal benchmark library☆13Mar 11, 2025Updated last year
- Tools for causal discovery in R☆22May 1, 2026Updated last week
- ☆12Aug 16, 2022Updated 3 years ago
- BaCaDI: Bayesian Causal Discovery with Unknown Interventions☆14Feb 23, 2023Updated 3 years ago
- ☆29Oct 4, 2022Updated 3 years ago
- CausalDynamics: A large-scale benchmark for structural discovery of dynamical causal models☆33Oct 6, 2025Updated 7 months ago
- causal-falsify: A Python library with algorithms for falsifying the unconfoundedness assumption in a composite dataset from multiple sour…☆40Mar 6, 2026Updated 2 months ago
- On the Role of Sparsity and DAG Constraints for Learning Linear DAGs☆36Jun 23, 2021Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆11Oct 9, 2022Updated 3 years ago
- A resource list for causality in statistics, data science and physics☆267Jan 28, 2026Updated 3 months ago
- ☆15Feb 28, 2023Updated 3 years ago
- Random Forests for Change Point Detection☆60Dec 12, 2025Updated 4 months ago
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…☆61Aug 14, 2024Updated last year
- Isotonic Distributional Regression (IDR)☆19May 4, 2026Updated last week
- ☆18Aug 23, 2019Updated 6 years ago