Generate Diverse Counterfactual Explanations for any machine learning model.
☆1,505Jul 13, 2025Updated 8 months ago
Alternatives and similar repositories for DiCE
Users that are interested in DiCE are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Model Agnostic Counterfactual Explanations☆89Sep 30, 2022Updated 3 years ago
- Algorithms for explaining machine learning models☆2,622Oct 17, 2025Updated 5 months ago
- Fit interpretable models. Explain blackbox machine learning.☆6,822Mar 26, 2026Updated 2 weeks ago
- Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world d…☆442Feb 7, 2025Updated last year
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…☆8,038Updated this week
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆302Oct 2, 2023Updated 2 years ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,575Feb 24, 2026Updated last month
- Interpretability and explainability of data and machine learning models☆1,772Mar 18, 2026Updated 3 weeks ago
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆47May 30, 2025Updated 10 months ago
- moDel Agnostic Language for Exploration and eXplanation☆1,460Jan 20, 2026Updated 2 months ago
- Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"☆31Mar 24, 2023Updated 3 years ago
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,581Updated this week
- Uplift modeling and causal inference with machine learning algorithms☆5,796Mar 21, 2026Updated 2 weeks ago
- Multi-Objective Counterfactuals☆43Jul 8, 2022Updated 3 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,452Jun 26, 2024Updated last year
- A game theoretic approach to explain the output of any machine learning model.☆25,242Updated this week
- A curated list of awesome responsible machine learning resources.☆4,006Mar 16, 2026Updated 3 weeks ago
- 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
- For calculating global feature importance using Shapley values.☆286Updated this week
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆3,163Apr 2, 2026Updated last week
- Lime: Explaining the predictions of any machine learning classifier☆12,114Jul 25, 2024Updated last year
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,527Apr 2, 2026Updated last week
- XAI - An eXplainability toolbox for machine learning☆1,232Nov 29, 2025Updated 4 months ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆37Dec 27, 2022Updated 3 years ago
- A Python package to assess and improve fairness of machine learning models.☆2,225Mar 16, 2026Updated 3 weeks ago
- A collection of research materials on explainable AI/ML☆1,627Mar 7, 2026Updated last month
- A collection of algorithms of counterfactual explanations.☆53Mar 22, 2021Updated 5 years ago
- Code for "High-Precision Model-Agnostic Explanations" paper☆813Jul 19, 2022Updated 3 years ago
- Fast SHAP value computation for interpreting tree-based models☆555Jun 26, 2023Updated 2 years ago
- Editing machine learning models to reflect human knowledge and values☆130Oct 3, 2023Updated 2 years ago
- Model interpretability and understanding for PyTorch☆5,592Apr 1, 2026Updated last week
- An index of algorithms for learning causality with data☆3,250Jan 22, 2025Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆651Feb 19, 2024Updated 2 years ago
- Source code/webpage/demos for the What-If Tool☆997Mar 29, 2026Updated last week
- machine learning with logical rules in Python☆657Jan 31, 2024Updated 2 years ago
- python tools to check recourse in linear classification☆76Jan 8, 2021Updated 5 years ago
- OmniXAI: A Library for eXplainable AI☆966Jul 23, 2024Updated last year
- Natural Gradient Boosting for Probabilistic Prediction☆1,858Mar 24, 2026Updated 2 weeks ago
- Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable …☆1,747Mar 26, 2026Updated 2 weeks ago