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☆88Updated 3 years ago
- A Python package for unwrapping ReLU DNNs☆70Updated last year
- Generalized Optimal Sparse Decision Trees☆68Updated last year
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆63Updated 2 months ago
- 💊 Comparing causality methods in a fair and just way.☆140Updated 5 years ago
- A lightweight implementation of removal-based explanations for ML models.☆58Updated 4 years ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated 9 months ago
- Optimal Sparse Decision Trees☆105Updated 2 years ago
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆25Updated 3 years ago
- python tools to check recourse in linear classification☆78Updated 4 years ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆36Updated 2 years ago
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆45Updated 4 months ago
- All about explainable AI, algorithmic fairness and more☆110Updated 2 years ago
- Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".☆26Updated 3 years ago
- For calculating Shapley values via linear regression.☆71Updated 4 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆79Updated 4 years ago
- A curated list of awesome work on causal inference, particularly in machine learning.☆108Updated 4 years ago
- Seminar on Limitations of Interpretable Machine Learning Methods☆57Updated 5 years ago
- Public home of pycorels, the python binding to CORELS☆80Updated 5 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Updated 2 years ago
- Extended Complexity Library in R☆57Updated 4 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
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆61Updated last year
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆84Updated 7 years ago
- Code and documentation for experiments in the TreeExplainer paper☆188Updated 6 years ago
- simple customizable risk scores in python☆141Updated 2 years ago
- Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…☆266Updated 3 weeks ago
- causal-falsify: A Python library with algorithms for falsifying unconfoundedness assumption in a composite dataset from multiple sources.☆35Updated last month
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆74Updated 5 years ago
- An automated machine learning tool aimed to facilitate AutoML research.☆100Updated last year