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
- 💊 Comparing causality methods in a fair and just way.☆141Updated 5 years ago
- Optimal Sparse Decision Trees☆106Updated 2 years ago
- Generalized Optimal Sparse Decision Trees☆70Updated last year
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated last year
- python tools to check recourse in linear classification☆77Updated 4 years ago
- A Python package for unwrapping ReLU DNNs☆68Updated last year
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆63Updated 8 months ago
- A curated list of awesome work on causal inference, particularly in machine learning.☆112Updated 4 years ago
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 4 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆85Updated 4 years ago
- For calculating Shapley values via linear regression.☆72Updated 4 years ago
- Resources related to causality☆266Updated last year
- ☆81Updated 5 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Updated 2 years ago
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆62Updated 5 months ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆84Updated 7 years ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆37Updated 3 years ago
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆74Updated 5 years ago
- Seminar on Limitations of Interpretable Machine Learning Methods☆57Updated 5 years ago
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…☆62Updated last year
- For calculating global feature importance using Shapley values.☆282Updated 2 weeks ago
- The code of the experiments of the submitted paper "On the stability of Feature Selection" in Matlab, R and Python.☆17Updated 7 years ago
- All about explainable AI, algorithmic fairness and more☆110Updated 2 years ago
- A collection of algorithms of counterfactual explanations.☆52Updated 4 years ago
- simple customizable risk scores in python☆142Updated 2 years ago
- Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…☆268Updated 3 months ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆161Updated 4 years ago
- ☆25Updated 4 years ago
- References for Papers at the Intersection of Causality and Fairness☆18Updated 7 years ago