XAI - An eXplainability toolbox for machine learning
☆1,235Nov 29, 2025Updated 5 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)☆854May 31, 2022Updated 3 years ago
- Algorithms for explaining machine learning models☆2,630Oct 17, 2025Updated 6 months ago
- Interpretability and explainability of data and machine learning models☆1,775Mar 18, 2026Updated last month
- A curated list of awesome responsible machine learning resources.☆4,019Mar 16, 2026Updated last month
- Fit interpretable models. Explain blackbox machine learning.☆6,842Updated this week
- 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.
- A collection of research materials on explainable AI/ML☆1,633Mar 7, 2026Updated last month
- Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are look…☆445Aug 21, 2024Updated last year
- ☆104Jul 6, 2023Updated 2 years ago
- This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and b…☆1,431Apr 18, 2026Updated 2 weeks ago
- ☆916Mar 19, 2023Updated 3 years ago
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆681Jun 17, 2024Updated last year
- H2O.ai Machine Learning Interpretability Resources☆492Dec 12, 2020Updated 5 years ago
- moDel Agnostic Language for Exploration and eXplanation☆1,467Jan 20, 2026Updated 3 months ago
- A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning☆20,487Updated this week
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,508Jul 13, 2025Updated 9 months ago
- Lime: Explaining the predictions of any machine learning classifier☆12,127Jul 25, 2024Updated last year
- A game theoretic approach to explain the output of any machine learning model.☆25,376Updated this week
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,777Apr 8, 2026Updated 3 weeks ago
- OmniXAI: A Library for eXplainable AI☆966Jul 23, 2024Updated last year
- Bias Auditing & Fair ML Toolkit☆759Feb 3, 2026Updated 3 months ago
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,396Feb 19, 2025Updated last year
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆3,212Apr 28, 2026Updated last week
- DrWhy is the collection of tools for eXplainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanatio…☆691Feb 21, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A Python package to assess and improve fairness of machine learning models.☆2,233Apr 20, 2026Updated 2 weeks ago
- Tensorflow's Fairness Evaluation and Visualization Toolkit☆357Aug 4, 2025Updated 9 months ago
- Model interpretability and understanding for PyTorch☆5,622Updated this week
- A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitig…☆2,801Nov 13, 2025Updated 5 months ago
- Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world d…☆442Feb 7, 2025Updated last year
- Algorithms for outlier, adversarial and drift detection☆2,516Dec 11, 2025Updated 4 months ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,586Apr 28, 2026Updated last week
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆254Aug 17, 2024Updated last year
- Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.☆2,485Feb 11, 2026Updated 2 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- 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☆446Jul 26, 2023Updated 2 years ago
- Public facing deeplift repo☆871Apr 28, 2022Updated 4 years ago
- An open source python library for automated feature engineering☆7,633Feb 3, 2026Updated 3 months ago
- Interpretability Methods for tf.keras models with Tensorflow 2.x☆1,037Jun 3, 2024Updated last year
- Debugging, monitoring and visualization for Python Machine Learning and Data Science☆3,468Mar 30, 2026Updated last month
- python partial dependence plot toolbox☆862Sep 3, 2024Updated last year