EthicalML / xai
XAI - An eXplainability toolbox for machine learning
☆1,158Updated 3 years ago
Alternatives and similar repositories for xai:
Users that are interested in xai are comparing it to the libraries listed below
- Interpretability and explainability of data and machine learning models☆1,676Updated last month
- Interesting resources related to XAI (Explainable Artificial Intelligence)☆825Updated 2 years ago
- ☆913Updated 2 years ago
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,392Updated 4 months ago
- Algorithms for explaining machine learning models☆2,475Updated 2 weeks ago
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆675Updated 9 months ago
- Source code/webpage/demos for the What-If Tool☆943Updated 6 months ago
- Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are look…☆428Updated 7 months ago
- H2O.ai Machine Learning Interpretability Resources☆488Updated 4 years ago
- Code for "High-Precision Model-Agnostic Explanations" paper☆799Updated 2 years ago
- moDel Agnostic Language for Exploration and eXplanation☆1,414Updated last month
- python partial dependence plot toolbox☆852Updated 7 months ago
- Bias Auditing & Fair ML Toolkit☆713Updated last week
- A collection of research materials on explainable AI/ML☆1,476Updated last week
- Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world d…☆427Updated last month
- A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitig…☆2,556Updated 3 months ago
- OmniXAI: A Library for eXplainable AI☆908Updated 8 months ago
- A curated list of awesome responsible machine learning resources.☆3,747Updated this week
- A Python package to assess and improve fairness of machine learning models.☆2,035Updated this week
- Code for the TCAV ML interpretability project☆635Updated 8 months ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,443Updated 3 weeks ago
- A toolkit that streamlines and automates the generation of model cards☆430Updated last year
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,771Updated 2 years ago
- A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also in…☆746Updated 4 years ago
- This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and b…☆1,310Updated 2 months ago
- A model-agnostic visual debugging tool for machine learning☆1,656Updated last month
- ☆585Updated last year
- Algorithms for outlier, adversarial and drift detection☆2,336Updated last week
- Natural Gradient Boosting for Probabilistic Prediction☆1,691Updated last week
- A Python library for dynamic classifier and ensemble selection☆484Updated 11 months ago