tml-tuebingen / nshapLinks
Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.
☆17Updated 2 years ago
Alternatives and similar repositories for nshap
Users that are interested in nshap are comparing it to the libraries listed below
Sorting:
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆294Updated 2 years ago
- A Natural Language Interface to Explainable Boosting Machines☆68Updated last year
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆248Updated last year
- For calculating global feature importance using Shapley values.☆278Updated last week
- pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation☆138Updated last month
- Model Agnostic Counterfactual Explanations☆88Updated 3 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆84Updated 2 years ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆70Updated 2 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- For calculating Shapley values via linear regression.☆71Updated 4 years ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆159Updated 3 years ago
- Datasets derived from US census data☆272Updated last year
- Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…☆266Updated last month
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆80Updated 4 years ago
- Editing machine learning models to reflect human knowledge and values☆126Updated 2 years ago
- Generalized Optimal Sparse Decision Trees☆57Updated 5 months ago
- scikit-activeml: A Comprehensive and User-friendly Active Learning Library☆174Updated last month
- A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.☆237Updated 3 months ago
- Modular Python Toolbox for Fairness, Accountability and Transparency Forensics☆77Updated 2 years ago
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.☆262Updated last month
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆45Updated 5 months ago
- [Experimental] Global causal discovery algorithms☆109Updated 2 weeks ago
- The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).☆220Updated 2 years ago
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 4 years ago
- Testing Language Models for Memorization of Tabular Datasets.☆35Updated 8 months ago
- Fairness toolkit for pytorch, scikit learn and autogluon☆32Updated 2 weeks ago
- Rule Extraction Methods for Interactive eXplainability☆47Updated 3 years ago
- ☆50Updated 2 years ago
- Mixture of Decision Trees for Interpretable Machine Learning☆11Updated 4 years ago
- A novel approach for synthesizing tabular data using pretrained large language models☆324Updated 4 months ago