pyCausalFS:A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification
☆71Dec 1, 2020Updated 5 years ago
Alternatives and similar repositories for pyCausalFS
Users that are interested in pyCausalFS are comparing it to the libraries listed below
Sorting:
- An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)☆63Nov 17, 2020Updated 5 years ago
- Causal Learner: A Toolbox for Causal Structure and Markov Blanket Learning☆44Feb 23, 2025Updated last year
- a Matlab library of computational causal discovery and variable selection algorithms☆19Nov 25, 2019Updated 6 years ago
- An open-source package of causal feature selection and causal (Bayesian network) structure learning (Matlab version)☆15Nov 17, 2020Updated 5 years ago
- Official repository for the paper "Instance-wise Causal Feature Selection for Model Interpretation" (CVPRW 2021)☆20May 29, 2021Updated 4 years ago
- A generalized score-based method for Causal Discovery☆19Nov 3, 2020Updated 5 years ago
- G Square Conditional Independence Test☆11Mar 7, 2017Updated 9 years ago
- Repository for "Differentiable Causal Discovery from Interventional Data"☆77Jan 31, 2022Updated 4 years ago
- Trustworthy AI related projects☆1,110Nov 13, 2025Updated 4 months ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,226Oct 13, 2025Updated 5 months ago
- Causal discovery algorithms and tools for implementing new ones☆247Jul 10, 2025Updated 8 months ago
- (Conditional) Independence testing & Markov blanket feature selection using k-NN mutual information and conditional mutual information es…☆30Jun 16, 2020Updated 5 years ago
- ☆11Jul 9, 2021Updated 4 years ago
- ☆12Aug 16, 2022Updated 3 years ago
- Basic tensorflow implementation of logistic latent Dirichlet allocation☆17Oct 17, 2019Updated 6 years ago
- Causal Discovery in Python. Learning causality from data.☆1,563Feb 18, 2026Updated last month
- Connectivity-contrastive learning (CCL)☆11Feb 16, 2023Updated 3 years ago
- DAGs with NO TEARS: Continuous Optimization for Structure Learning☆671May 17, 2024Updated last year
- Makes algorithms/code in Tetrad available in Python via JPype☆92Mar 9, 2026Updated 2 weeks ago
- Multiple Generalized Additive Models implemented in Python (EBM, XGB, Spline, FLAM). Code for our KDD 2021 paper "How Interpretable and T…☆13Aug 15, 2021Updated 4 years ago
- Infinite Feature Selection: a Graph-based Feature Filtering Approach☆46Jul 16, 2024Updated last year
- 💊 Comparing causality methods in a fair and just way.☆141Mar 23, 2020Updated 6 years ago
- [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.☆64Updated this week
- The Randomized Conditional Independence Test (RCIT) and the Randomized conditional Correlation Test (RCoT)☆31May 23, 2019Updated 6 years ago
- ☆17Mar 23, 2023Updated 2 years ago
- Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at☆1,622Jan 14, 2026Updated 2 months ago
- Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions☆11Jan 19, 2022Updated 4 years ago
- A straightforward implementation of EGBM-based Generalized Additive Model☆13Oct 15, 2020Updated 5 years ago
- A Python package for process-mining with DECLARE models.☆17Jun 13, 2024Updated last year
- a series of R programs to accompany the book Cause and correlation in biology☆18Dec 1, 2023Updated 2 years ago
- Code for "Counterfactual Explanations in Sequential Decision Making Under Uncertainty", NeurIPS 2021☆16Feb 8, 2023Updated 3 years ago
- Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.☆438Updated this week
- Python package for causal discovery based on LiNGAM.☆473Mar 2, 2026Updated 3 weeks ago
- Eastern European Machine Learning Summer School (EEML) Workshop Series 2022. Tutorial on Causality for the Serbian Machine Learning Works…☆21May 7, 2022Updated 3 years ago
- ☆13Feb 20, 2024Updated 2 years ago
- Repository containing code for getting statistical guarantees on properties of BNNs☆13Apr 24, 2019Updated 6 years ago
- Repository for "The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications"☆12May 30, 2025Updated 9 months ago
- Source code and data for "Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures…☆19Jul 3, 2024Updated last year
- Classifier Conditional Independence Test: A CI test that uses a binary classifier (XGBoost) for CI testing☆47Jul 6, 2023Updated 2 years ago