Trusted-AI / AIX360Links
Interpretability and explainability of data and machine learning models
☆1,745Updated 8 months ago
Alternatives and similar repositories for AIX360
Users that are interested in AIX360 are comparing it to the libraries listed below
Sorting:
- XAI - An eXplainability toolbox for machine learning☆1,204Updated 4 years ago
- Algorithms for explaining machine learning models☆2,575Updated 3 weeks ago
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,465Updated 3 months ago
- A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitig…☆2,687Updated 3 weeks ago
- A Python package to assess and improve fairness of machine learning models.☆2,158Updated 2 weeks ago
- Interesting resources related to XAI (Explainable Artificial Intelligence)☆840Updated 3 years ago
- Bias Auditing & Fair ML Toolkit☆736Updated this week
- OmniXAI: A Library for eXplainable AI☆953Updated last year
- Source code/webpage/demos for the What-If Tool☆982Updated 2 months ago
- Code for "High-Precision Model-Agnostic Explanations" paper☆809Updated 3 years ago
- A collection of research materials on explainable AI/ML☆1,578Updated last month
- Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world d…☆434Updated 9 months ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,509Updated 2 months ago
- Fit interpretable models. Explain blackbox machine learning.☆6,708Updated 2 weeks ago
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆681Updated last year
- ☆918Updated 2 years ago
- Algorithms for outlier, adversarial and drift detection☆2,448Updated 2 weeks ago
- A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also in…☆759Updated 5 years ago
- moDel Agnostic Language for Exploration and eXplanation (JMLR 2018; JMLR 2021)☆1,446Updated 3 weeks ago
- python partial dependence plot toolbox☆861Updated last year
- A curated list of awesome responsible machine learning resources.☆3,908Updated last week
- Library for Semi-Automated Data Science☆346Updated 2 weeks ago
- Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations☆628Updated 3 months ago
- Code for the TCAV ML interpretability project☆645Updated 4 months ago
- A machine learning package for streaming data in Python. The other ancestor of River.☆785Updated 2 years ago
- Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are look…☆442Updated last year
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆295Updated 2 years ago
- H2O.ai Machine Learning Interpretability Resources☆490Updated 4 years ago
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,772Updated 6 months ago
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,387Updated last year