Generate Diverse Counterfactual Explanations for any machine learning model.
☆1,499Jul 13, 2025Updated 7 months ago
Alternatives and similar repositories for DiCE
Users that are interested in DiCE are comparing it to the libraries listed below
Sorting:
- Algorithms for explaining machine learning models☆2,610Oct 17, 2025Updated 4 months ago
- Fit interpretable models. Explain blackbox machine learning.☆6,802Updated this week
- Model Agnostic Counterfactual Explanations☆88Sep 30, 2022Updated 3 years ago
- Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world d…☆441Feb 7, 2025Updated last year
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,573Feb 4, 2026Updated 3 weeks ago
- moDel Agnostic Language for Exploration and eXplanation☆1,457Jan 20, 2026Updated last month
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…☆7,970Feb 18, 2026Updated last week
- Interpretability and explainability of data and machine learning models☆1,761Feb 26, 2025Updated last year
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆300Oct 2, 2023Updated 2 years ago
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,439Jun 26, 2024Updated last year
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,518Updated this week
- Uplift modeling and causal inference with machine learning algorithms☆5,747Updated this week
- A game theoretic approach to explain the output of any machine learning model.☆25,072Feb 20, 2026Updated last week
- A curated list of awesome responsible machine learning resources.☆3,988Feb 18, 2026Updated last week
- A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in …☆432Feb 5, 2024Updated 2 years ago
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆47May 30, 2025Updated 8 months ago
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆3,147Feb 6, 2026Updated 3 weeks ago
- Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"☆31Mar 24, 2023Updated 2 years ago
- Multi-Objective Counterfactuals☆43Jul 8, 2022Updated 3 years ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,519Feb 19, 2026Updated last week
- A Python package to assess and improve fairness of machine learning models.☆2,211Updated this week
- For calculating global feature importance using Shapley values.☆284Updated this week
- XAI - An eXplainability toolbox for machine learning☆1,226Nov 29, 2025Updated 2 months ago
- Lime: Explaining the predictions of any machine learning classifier☆12,101Jul 25, 2024Updated last year
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆646Feb 19, 2024Updated 2 years ago
- Fast SHAP value computation for interpreting tree-based models☆553Jun 26, 2023Updated 2 years ago
- machine learning with logical rules in Python☆658Jan 31, 2024Updated 2 years ago
- Model interpretability and understanding for PyTorch☆5,560Updated this week
- An index of algorithms for learning causality with data☆3,244Jan 22, 2025Updated last year
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆37Dec 27, 2022Updated 3 years ago
- A collection of research materials on explainable AI/ML☆1,617Dec 11, 2025Updated 2 months ago
- Code for "High-Precision Model-Agnostic Explanations" paper☆814Jul 19, 2022Updated 3 years ago
- Natural Gradient Boosting for Probabilistic Prediction☆1,833Updated this week
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆352May 13, 2023Updated 2 years ago
- Editing machine learning models to reflect human knowledge and values☆128Oct 3, 2023Updated 2 years ago
- Feature engineering and selection open-source Python library compatible with sklearn.☆2,204Updated this week
- Algorithms for outlier, adversarial and drift detection☆2,493Dec 11, 2025Updated 2 months ago
- Source code/webpage/demos for the What-If Tool☆991Jan 24, 2026Updated last month
- Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable …☆1,724Feb 6, 2026Updated 3 weeks ago