MarcelRobeer / explabox
Explore/examine/explain/expose your model with the explabox!
☆16Updated 2 weeks ago
Alternatives and similar repositories for explabox:
Users that are interested in explabox are comparing it to the libraries listed below
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆82Updated 2 years ago
- A Natural Language Interface to Explainable Boosting Machines☆65Updated 8 months ago
- Modular Python Toolbox for Fairness, Accountability and Transparency Forensics☆77Updated last year
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆63Updated 2 years ago
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆43Updated 8 months ago
- Train Gradient Boosting models that are both high-performance *and* Fair!☆103Updated 9 months ago
- Mixture of Decision Trees for Interpretable Machine Learning☆11Updated 3 years ago
- Testing Language Models for Memorization of Tabular Datasets.☆33Updated last month
- Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.☆17Updated last year
- The official repository containing the source code to the explAIner publication.☆29Updated 11 months ago
- Explainable Artificial Intelligence through Contextual Importance and Utility☆27Updated 7 months ago
- Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.☆41Updated 3 weeks ago
- Editing machine learning models to reflect human knowledge and values☆124Updated last year
- A fairness library in PyTorch.☆27Updated 8 months ago
- Code for paper: Are Large Language Models Post Hoc Explainers?☆30Updated 8 months ago
- pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation☆119Updated this week
- Rule Extraction Methods for Interactive eXplainability☆43Updated 2 years ago
- Repository for the explanation method Calibrated Explanations (CE)☆64Updated 3 weeks ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆242Updated 7 months ago
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- Fast and incremental explanations for online machine learning models. Works best with the river framework.☆54Updated 3 months ago
- ☆50Updated last year
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- Effector - a Python package for global and regional effect methods☆82Updated this week
- For calculating Shapley values via linear regression.☆67Updated 3 years ago
- Boosting Synthetic Data Generation with Effective Nonlinear Causal Discovery☆16Updated last year
- Missing data amputation and exploration functions for Python☆67Updated 2 years ago
- Fairness toolkit for pytorch, scikit learn and autogluon☆32Updated 3 months ago
- Experimental library integrating LLM capabilities to support causal analyses☆120Updated this week
- A toolbox for fair and explainable machine learning☆55Updated 9 months ago