dandls / mocLinks
Multi-Objective Counterfactuals
☆43Updated 3 years ago
Alternatives and similar repositories for moc
Users that are interested in moc are comparing it to the libraries listed below
Sorting:
- Model Agnostic Counterfactual Explanations☆88Updated 3 years ago
- A Python package for unwrapping ReLU DNNs☆68Updated last year
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆62Updated 4 months ago
- 💊 Comparing causality methods in a fair and just way.☆141Updated 5 years ago
- Optimal Sparse Decision Trees☆105Updated 2 years ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated 11 months ago
- python tools to check recourse in linear classification☆77Updated 4 years ago
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 4 years ago
- Generalized Optimal Sparse Decision Trees☆69Updated last year
- GAMI-Net: Generalized Additive Models with Structured Interactions☆31Updated 3 years ago
- Seminar on Limitations of Interpretable Machine Learning Methods☆57Updated 5 years ago
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆25Updated 3 years ago
- All about explainable AI, algorithmic fairness and more☆110Updated 2 years ago
- Neural Additive Models (Google Research)☆73Updated 4 years ago
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 4 years ago
- For calculating Shapley values via linear regression.☆71Updated 4 years ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆297Updated 2 years ago
- Causing: CAUsal INterpretation using Graphs☆60Updated last week
- Public home of pycorels, the python binding to CORELS☆80Updated 5 years ago
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆74Updated 5 years ago
- XAI Stories. Case studies for eXplainable Artificial Intelligence☆31Updated 5 years ago
- Meta-Feature Extractor☆30Updated 3 years ago
- simple customizable risk scores in python☆142Updated 2 years ago
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆63Updated 7 months ago
- The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).☆221Updated 2 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆84Updated 4 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Updated 2 years ago
- Surrogate Assisted Feature Extraction☆37Updated 4 years ago
- For calculating global feature importance using Shapley values.☆280Updated last week
- An extension of CatBoost to probabilistic modelling☆147Updated 2 years ago