andreArtelt / cemlLinks
CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
☆46Updated 6 months ago
Alternatives and similar repositories for ceml
Users that are interested in ceml are comparing it to the libraries listed below
Sorting:
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆298Updated 2 years ago
- Model Agnostic Counterfactual Explanations☆88Updated 3 years ago
- A collection of algorithms of counterfactual explanations.☆52Updated 4 years ago
- For calculating global feature importance using Shapley values.☆282Updated last week
- Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…☆268Updated 3 months ago
- The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).☆222Updated 2 years ago
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 4 years ago
- All about explainable AI, algorithmic fairness and more☆110Updated 2 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆85Updated 3 years ago
- Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…☆107Updated last year
- ☆49Updated 2 years ago
- Fast and incremental explanations for online machine learning models. Works best with the river framework.☆55Updated 11 months ago
- Multi-Objective Counterfactuals☆43Updated 3 years ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆252Updated last year
- Modular Python Toolbox for Fairness, Accountability and Transparency Forensics☆77Updated 2 years ago
- Editing machine learning models to reflect human knowledge and values☆128Updated 2 years ago
- An amortized approach for calculating local Shapley value explanations☆104Updated 2 years ago
- For calculating Shapley values via linear regression.☆71Updated 4 years ago
- A Natural Language Interface to Explainable Boosting Machines☆68Updated last year
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆159Updated 3 years ago
- Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"☆31Updated 2 years ago
- Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.☆18Updated 2 years 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 3 years ago
- TimeSHAP explains Recurrent Neural Network predictions.☆193Updated 2 years ago
- pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation☆140Updated 3 months ago
- Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)☆153Updated 3 years ago
- Neural Additive Models (Google Research)☆74Updated 4 years ago
- A Python package for unwrapping ReLU DNNs☆68Updated last year
- A repo for transfer learning with deep tabular models☆105Updated 2 years ago
- Public home of pycorels, the python binding to CORELS☆80Updated 5 years ago