XAI - An eXplainability toolbox for machine learning
☆1,248Nov 29, 2025Updated 7 months ago
Alternatives and similar repositories for xai
Users that are interested in xai are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Interesting resources related to XAI (Explainable Artificial Intelligence)☆858May 31, 2022Updated 4 years ago
- Algorithms for explaining machine learning models☆2,634Oct 17, 2025Updated 8 months ago
- Interpretability and explainability of data and machine learning models☆1,783May 22, 2026Updated last month
- A curated list of awesome responsible machine learning resources.☆4,045Jun 3, 2026Updated last month
- Fit interpretable models. Explain blackbox machine learning.☆6,882Jun 29, 2026Updated last week
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- A collection of research materials on explainable AI/ML☆1,651Mar 7, 2026Updated 4 months ago
- Explain & debug any blackbox machine learning model with a single line of code.☆449Jun 14, 2026Updated 3 weeks ago
- ☆104Jul 6, 2023Updated 3 years ago
- This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and b…☆1,448Updated this week
- ☆917Mar 19, 2023Updated 3 years ago
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆682Jun 17, 2024Updated 2 years ago
- H2O.ai Machine Learning Interpretability Resources☆491Dec 12, 2020Updated 5 years ago
- moDel Agnostic Language for Exploration and eXplanation☆1,479Jan 20, 2026Updated 5 months ago
- A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning☆20,701Updated this week
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,518Jul 13, 2025Updated 11 months ago
- Lime: Explaining the predictions of any machine learning classifier☆12,148Jul 25, 2024Updated last year
- A game theoretic approach to explain the output of any machine learning model.☆25,594Updated this week
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,775Apr 8, 2026Updated 3 months ago
- OmniXAI: A Library for eXplainable AI☆969Jun 2, 2026Updated last month
- Bias Auditing & Fair ML Toolkit☆763May 12, 2026Updated last month
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,397Feb 19, 2025Updated last year
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆3,236Updated this week
- ☆617Jun 28, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- DrWhy is the collection of tools for eXplainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanatio…☆688Feb 21, 2023Updated 3 years ago
- Tensorflow's Fairness Evaluation and Visualization Toolkit☆357Updated this week
- Model interpretability and understanding for PyTorch☆5,665Updated this week
- A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitig…☆2,833Jun 15, 2026Updated 3 weeks ago
- Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world d…☆445Feb 7, 2025Updated last year
- Algorithms for outlier, adversarial and drift detection☆2,532Dec 11, 2025Updated 6 months ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,596May 26, 2026Updated last month
- Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.☆2,488Feb 11, 2026Updated 4 months ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆255Aug 17, 2024Updated last year
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Code for "High-Precision Model-Agnostic Explanations" paper☆813Jul 19, 2022Updated 3 years ago
- A toolkit that streamlines and automates the generation of model cards☆452Jul 26, 2023Updated 2 years ago
- Public facing deeplift repo☆875Apr 28, 2022Updated 4 years ago
- An open source python library for automated feature engineering☆7,659Jun 17, 2026Updated 3 weeks ago
- Interpretability Methods for tf.keras models with Tensorflow 2.x☆1,037Jun 3, 2024Updated 2 years ago
- Debugging, monitoring and visualization for Python Machine Learning and Data Science☆3,469Mar 30, 2026Updated 3 months ago
- python partial dependence plot toolbox☆861Sep 3, 2024Updated last year