MarcelRobeer / explabox
Explore/examine/explain/expose your model with the explabox!
☆14Updated last month
Alternatives and similar repositories for explabox:
Users that are interested in explabox are comparing it to the libraries listed below
- ☆11Updated 4 years ago
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- A fairness library in PyTorch.☆26Updated 5 months ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆60Updated last year
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆237Updated 5 months ago
- Modular Python Toolbox for Fairness, Accountability and Transparency Forensics☆75Updated last year
- Fairness toolkit for pytorch, scikit learn and autogluon☆31Updated last month
- LOcal Rule-based Exlanations☆50Updated last year
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆81Updated 2 years ago
- FairPrep is a design and evaluation framework for fairness-enhancing interventions that treats data as a first-class citizen.☆11Updated last year
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆42Updated 5 months ago
- Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.☆17Updated last year
- pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation☆115Updated this week
- A Unified Approach to Evaluate and Compare Explainable AI methods☆14Updated last year
- For calculating Shapley values via linear regression.☆66Updated 3 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆75Updated last year
- The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).☆219Updated last year
- Rule Extraction Methods for Interactive eXplainability☆42Updated 2 years ago
- scikit-activeml: Python library for active learning on top of scikit-learn☆157Updated this week
- Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.☆38Updated 9 months ago
- Code for paper: Are Large Language Models Post Hoc Explainers?☆28Updated 5 months ago
- Multi-Objective Counterfactuals☆41Updated 2 years ago
- Explainable Artificial Intelligence through Contextual Importance and Utility☆26Updated 5 months ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆286Updated last year
- Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"☆30Updated last year
- Testing Language Models for Memorization of Tabular Datasets.☆33Updated this week
- A collection of algorithms of counterfactual explanations.☆50Updated 3 years ago
- This repository provides details of the experimental code in the paper: Instance-based Counterfactual Explanations for Time Series Classi…☆18Updated 3 years ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆32Updated 9 months ago
- Datasets derived from US census data☆247Updated 8 months ago