benedekrozemberczki / shapleyLinks
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
☆220Updated 2 years ago
Alternatives and similar repositories for shapley
Users that are interested in shapley are comparing it to the libraries listed below
Sorting:
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆292Updated last year
- A lightweight implementation of removal-based explanations for ML models.☆58Updated 4 years ago
- Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…☆105Updated last year
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆83Updated 2 years ago
- All about explainable AI, algorithmic fairness and more☆110Updated last year
- Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)☆152Updated 3 years ago
- Modular Python Toolbox for Fairness, Accountability and Transparency Forensics☆77Updated 2 years ago
- Benchmarking synthetic data generation methods.☆275Updated this week
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system☆77Updated 2 years ago
- ☆81Updated last month
- A Python package for unwrapping ReLU DNNs☆70Updated last year
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆44Updated 2 months ago
- The stream-learn is an open-source Python library for difficult data stream analysis.☆63Updated 2 months ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- Expanding Explainable K-Means Clustering☆96Updated 2 years ago
- For calculating global feature importance using Shapley values.☆272Updated this week
- GAM (Global Attribution Mapping) explains the landscape of neural network predictions across subpopulations☆34Updated 2 weeks ago
- Train Gradient Boosting models that are both high-performance *and* Fair!☆105Updated 3 weeks ago
- Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…☆165Updated last month
- Editing machine learning models to reflect human knowledge and values☆127Updated last year
- SPEAR: Programmatically label and build training data quickly.☆107Updated last year
- 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
- PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in…☆134Updated 5 months ago
- A toolbox for differentially private data generation☆132Updated 2 years ago
- A Natural Language Interface to Explainable Boosting Machines☆68Updated last year
- TimeSHAP explains Recurrent Neural Network predictions.☆180Updated last year
- ☆50Updated 2 years ago
- Clustering for mixed-type data☆99Updated last year
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆70Updated 2 years ago