Model Agnostic Counterfactual Explanations
☆88Sep 30, 2022Updated 3 years ago
Alternatives and similar repositories for mace
Users that are interested in mace are comparing it to the libraries listed below
Sorting:
- Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"☆31Mar 24, 2023Updated 2 years ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆37Dec 27, 2022Updated 3 years ago
- Multi-Objective Counterfactuals☆43Jul 8, 2022Updated 3 years ago
- ☆11Oct 22, 2020Updated 5 years ago
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,499Jul 13, 2025Updated 7 months ago
- Counterfactual SHAP: a framework for counterfactual feature importance☆21Jul 6, 2023Updated 2 years ago
- A collection of algorithms of counterfactual explanations.☆52Mar 22, 2021Updated 4 years ago
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆47May 30, 2025Updated 9 months ago
- References for Papers at the Intersection of Causality and Fairness☆18Dec 3, 2018Updated 7 years ago
- Replication code "The Limits of Human Predictions of Recidivism" by Lin et al. (2020)☆10May 1, 2020Updated 5 years ago
- Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University☆45Jan 31, 2023Updated 3 years ago
- Explainable Artificial Intelligence through Contextual Importance and Utility☆27Oct 1, 2025Updated 5 months ago
- Efficient retrieval head analysis with triton flash attention that supports topK probability☆13Jun 15, 2024Updated last year
- ☆11Apr 5, 2023Updated 2 years ago
- Keras implementation for DASP: Deep Approximate Shapley Propagation (ICML 2019)☆62Jul 1, 2019Updated 6 years ago
- Tensorflow 2 implementation of Causal-BERT☆74Nov 5, 2023Updated 2 years ago
- 'Robust Semantic Interpretability: Revisiting Concept Activation Vectors' Official Implementation☆11Jul 15, 2020Updated 5 years ago
- A TensorFlow Label Propagation library☆13Apr 7, 2018Updated 7 years ago
- Codes for reproducing the contrastive explanation in “Explanations based on the Missing: Towards Contrastive Explanations with Pertinent…☆54Jul 4, 2018Updated 7 years ago
- LOcal Rule-based Exlanations☆54Nov 28, 2023Updated 2 years ago
- CME: Concept-based Model Extraction☆12Nov 24, 2020Updated 5 years ago
- ☆15Mar 28, 2024Updated last year
- Algorithms for explaining machine learning models☆2,612Oct 17, 2025Updated 4 months ago
- The code for the paper *The Sensitivity of Counterfactual Fairness to Unmeasured Confounding* @ UAI 2019☆14Apr 4, 2020Updated 5 years ago
- ☆12Feb 15, 2021Updated 5 years ago
- Sample code for VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data☆19Mar 7, 2021Updated 4 years ago
- Molecular Explanation Generator☆17Jan 26, 2022Updated 4 years ago
- ☆135Aug 7, 2019Updated 6 years ago
- This repository contains the source code associated with the method proposed by Tolomei et al. in their KDD 2017 research paper entitled …☆17May 21, 2019Updated 6 years ago
- Code for the paper "Neural Concept Map Generation for Effective Document Classification with Interpretable Structured Summarization" SIGI…☆20Jan 10, 2021Updated 5 years ago
- A curated list of awesome work on causal inference, particularly in machine learning.☆112May 1, 2021Updated 4 years ago
- Repository for Deep Structural Causal Models for Tractable Counterfactual Inference☆296Jul 6, 2023Updated 2 years ago
- XReason - formal reasoning about explanations for ML models☆17May 16, 2025Updated 9 months ago
- ☆17Oct 25, 2016Updated 9 years ago
- ☆17May 3, 2024Updated last year
- Category Theory Framework☆17Feb 24, 2026Updated last week
- Research code for auditing and exploring black box machine-learning models.☆132May 24, 2023Updated 2 years ago
- Lime: Explaining the predictions of any machine learning classifier☆16May 27, 2019Updated 6 years ago
- Dataset citeulike-t for 'Collaborative Topic Regression with Social Regularization' (CTRSR)☆18Jul 13, 2021Updated 4 years ago