dandls / mocLinks
Multi-Objective Counterfactuals
☆42Updated 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☆87Updated 2 years ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated 8 months ago
- 💊 Comparing causality methods in a fair and just way.☆140Updated 5 years ago
- python tools to check recourse in linear classification☆78Updated 4 years ago
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆61Updated last month
- A Python package for unwrapping ReLU DNNs☆70Updated last year
- Seminar on Limitations of Interpretable Machine Learning Methods☆57Updated 4 years ago
- Generalized Optimal Sparse Decision Trees☆66Updated last year
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆45Updated 3 months ago
- A lightweight implementation of removal-based explanations for ML models.☆58Updated 4 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆77Updated 4 years ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆292Updated last year
- All about explainable AI, algorithmic fairness and more☆110Updated last year
- Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".☆26Updated 3 years ago
- Optimal Sparse Decision Trees☆105Updated 2 years ago
- Meta-Feature Extractor☆29Updated 3 years ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆36Updated 2 years ago
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆60Updated 4 months ago
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆25Updated 3 years ago
- Extended Complexity Library in R☆57Updated 4 years ago
- Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…☆265Updated 3 months ago
- For calculating global feature importance using Shapley values.☆274Updated this week
- Neural Additive Models (Google Research)☆71Updated 3 years ago
- For calculating Shapley values via linear regression.☆70Updated 4 years ago
- Generalized additive model with pairwise interactions☆66Updated last year
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…☆62Updated last year
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆74Updated 5 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Updated 2 years ago
- Conditional calibration of conformal p-values for outlier detection.☆36Updated 2 years ago
- ☆78Updated 5 years ago