tml-tuebingen / nshapLinks
Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.
☆17Updated last year
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☆292Updated last year
- For calculating global feature importance using Shapley values.☆272Updated this week
- A Natural Language Interface to Explainable Boosting Machines☆68Updated last year
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆247Updated 11 months ago
- [Experimental] Global causal discovery algorithms☆106Updated 2 weeks ago
- pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation☆135Updated 2 months ago
- Mixture of Decision Trees for Interpretable Machine Learning☆11Updated 3 years ago
- Editing machine learning models to reflect human knowledge and values☆127Updated last year
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- For calculating Shapley values via linear regression.☆70Updated 4 years ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆70Updated 2 years ago
- scikit-activeml: Python library for active learning on top of scikit-learn☆171Updated this week
- Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…☆266Updated 3 months ago
- Fast and incremental explanations for online machine learning models. Works best with the river framework.☆55Updated 7 months ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆77Updated 4 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆83Updated 2 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- Generalized Optimal Sparse Decision Trees☆56Updated 2 months ago
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆102Updated 2 years ago
- The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).☆220Updated 2 years ago
- relplot: Utilities for measuring calibration and plotting reliability diagrams☆166Updated last month
- Testing Language Models for Memorization of Tabular Datasets.☆34Updated 5 months ago
- Extending Conformal Prediction to LLMs☆67Updated last year
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆341Updated last month
- A lightweight implementation of removal-based explanations for ML models.☆58Updated 4 years ago
- Datasets derived from US census data☆268Updated last year
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.☆253Updated 2 months ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆86Updated 2 years ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆47Updated 3 years ago