wangyongjie-ntu / CFAI
A collection of algorithms of counterfactual explanations.
☆50Updated 4 years ago
Alternatives and similar repositories for CFAI:
Users that are interested in CFAI are comparing it to the libraries listed below
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆44Updated this week
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"☆31Updated 2 years ago
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 3 years ago
- Local explanations with uncertainty 💐!☆40Updated last year
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆36Updated 2 years ago
- Code and data for decision making under strategic behavior, NeurIPS 2020 & Management Science 2024.☆28Updated last year
- For calculating Shapley values via linear regression.☆67Updated 3 years ago
- ☆16Updated 2 years ago
- Influence Estimation for Gradient-Boosted Decision Trees☆27Updated 10 months ago
- Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems☆22Updated 3 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆40Updated 2 years ago
- ☆38Updated 6 years ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆64Updated 2 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆82Updated 2 years ago
- Official code repository to the corresponding paper.☆29Updated last year
- Code for ICML 2020 paper: "Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders" by I. …☆52Updated 4 years ago
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆63Updated 2 months ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆45Updated 2 years ago
- This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help …☆24Updated 2 years ago
- Neural Additive Models (Google Research)☆28Updated 11 months ago
- Testing Language Models for Memorization of Tabular Datasets.☆33Updated 2 months ago
- Multi-Objective Counterfactuals☆41Updated 2 years ago
- An amortized approach for calculating local Shapley value explanations☆97Updated last year
- ☆11Updated 4 years ago
- ☆50Updated last year
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆58Updated last year
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆35Updated last year
- Code for "Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties"☆18Updated 3 years ago
- Neural Additive Models (Google Research)☆69Updated 3 years ago