benedekrozemberczki / shapleyLinks
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
☆220Updated last year
Alternatives and similar repositories for shapley
Users that are interested in shapley are comparing it to the libraries listed below
Sorting:
- All about explainable AI, algorithmic fairness and more☆108Updated last year
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆289Updated last year
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆82Updated 2 years ago
- Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)☆150Updated 2 years ago
- Modular Python Toolbox for Fairness, Accountability and Transparency Forensics☆77Updated last year
- Editing machine learning models to reflect human knowledge and values☆124Updated last year
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆247Updated 9 months ago
- The stream-learn is an open-source Python library for difficult data stream analysis.☆63Updated this week
- For calculating global feature importance using Shapley values.☆270Updated last week
- Data Shapley: Equitable Valuation of Data for Machine Learning☆270Updated last year
- Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…☆104Updated last year
- Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University☆45Updated 2 years ago
- Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…☆72Updated 2 years ago
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 3 years ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆66Updated 2 years ago
- automatic data slicing☆34Updated 3 years ago
- ☆50Updated last year
- For calculating Shapley values via linear regression.☆68Updated 3 years ago
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆74Updated 3 years ago
- Benchmarking synthetic data generation methods.☆274Updated this week
- ☆32Updated 3 years ago
- Supervised Local Modeling for Interpretability☆29Updated 6 years ago
- A toolbox for differentially private data generation☆132Updated last year
- Keras implementation for DASP: Deep Approximate Shapley Propagation (ICML 2019)☆61Updated 5 years ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- Experiments on Tabular Data Models☆277Updated 2 years ago
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆44Updated last month
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆128Updated 3 years ago
- ☆125Updated 4 years ago