Code for a variety of nonlinear conditional independence tests and 'nonlinear Invariant Causal Prediction' to estimate the causal parents of a given target variable from data collected in different experimental or environmental conditions, extending 'Invariant Causal Prediction' from Peters, Buehlmann and Meinshausen (2016) to nonlinear settings…
☆17Nov 12, 2019Updated 6 years ago
Alternatives and similar repositories for nonlinearICP-and-CondIndTests
Users that are interested in nonlinearICP-and-CondIndTests are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This packages provides a simple python implementation of Invariant Causal Prediction (ICP)☆13Mar 22, 2024Updated 2 years ago
- Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", b…☆21Jul 6, 2023Updated 2 years ago
- Pathway visualization and analysis tool for Pathway Commons and other BioPAX data☆14May 25, 2022Updated 3 years ago
- CausalTrail - a tool for performing causal reasoning using the do-calculus☆12Jun 9, 2021Updated 4 years ago
- ☆19Feb 6, 2026Updated 2 months ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- ☆11Oct 9, 2022Updated 3 years ago
- ☆12Jun 1, 2019Updated 6 years ago
- Scalable open-source software to run, develop, and benchmark causal discovery algorithms☆81Feb 17, 2026Updated last month
- Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)☆17Jun 18, 2020Updated 5 years ago
- A unified interface for the estimation of causal networks☆22Feb 17, 2020Updated 6 years ago
- Python demo to our CVPR'19 publication: Mapping, Localization and Path Planning for Image-based Navigation using Visual Features and Map☆13Dec 2, 2020Updated 5 years ago
- Drugbank.ca xml file converted to a mysql database☆10Apr 28, 2015Updated 10 years ago
- Official code for the paper "FairerCLIP: Debiasing CLIP’s Zero-Shot Predictions using Functions in RKHSs".☆16Oct 14, 2025Updated 5 months ago
- A deep-learning-based conditional independence test that works for big, high-dimensional data.☆14Sep 2, 2017Updated 8 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.
- Imputation of Financial Time Series with Missing Values and/or Outliers☆26Sep 27, 2021Updated 4 years ago
- ☆98Jan 4, 2024Updated 2 years ago
- Drug repurposing for COVID-19 using literature-based discovery☆30Sep 6, 2022Updated 3 years ago
- Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests☆20Jan 4, 2023Updated 3 years ago
- Code for the NIPS 2018 paper "Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions"☆19Mar 31, 2021Updated 5 years ago
- A set of kernel-based (Un)conditional independence tests including SDCIT (Lee and Honavar, UAI 2017)☆16Feb 6, 2020Updated 6 years ago
- A decision-tree based conditional independence test.☆35Mar 11, 2023Updated 3 years ago
- A pythonic Linked Data Notifications (LDN) receiver☆14Jan 31, 2019Updated 7 years ago
- CausalFX R Package☆13Jun 22, 2015Updated 10 years ago
- NordVPN Special Discount Offer • AdSave on top-rated NordVPN 1 or 2-year plans with secure browsing, privacy protection, and support for for all major platforms.
- A Python package implementing a variety of statistical methods that rely on kernels (e.g. HSIC for independence testing).☆16Jan 12, 2022Updated 4 years ago
- Causal data augmentation for pretraining debiasing☆11Aug 31, 2021Updated 4 years ago
- A fast, adaptive approach to estimating contrast sensitivity function parameters☆15Mar 27, 2023Updated 3 years ago
- Suite of converters to transform MIDI files into RDF and backwards☆16Dec 7, 2022Updated 3 years ago
- ☆32Jul 8, 2018Updated 7 years ago
- Code for paper "Estimating Causal Effects on Networked Observational Data via Representation Learning"☆20May 28, 2023Updated 2 years ago
- Offline Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits☆10Oct 21, 2024Updated last year
- Python package for the creation, manipulation, and learning of Causal DAGs☆159Apr 12, 2023Updated 2 years ago
- http://www.ark.cs.cmu.edu/ARKref/☆33Apr 4, 2014Updated 12 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Official code for the paper "Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network"☆16Aug 9, 2023Updated 2 years ago
- pySCM: The Set Covering Machine in Python☆14Apr 18, 2025Updated 11 months ago
- Code to reproduce the paper "Do causal predictors generalize better to new domains?"☆15Feb 7, 2025Updated last year
- ☆15Jan 9, 2026Updated 2 months ago
- Code for the paper: Causal Action Influence Aware Counterfactual Data Augmentation @ICML2024☆11Jul 19, 2024Updated last year
- ☆12Apr 17, 2024Updated last year
- Understanding Rare Spurious Correlations in Neural Network☆12Jun 5, 2022Updated 3 years ago