giorgiovisani / lime_stabilityLinks
☆33Updated last year
Alternatives and similar repositories for lime_stability
Users that are interested in lime_stability are comparing it to the libraries listed below
Sorting:
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆83Updated 2 years ago
- All about explainable AI, algorithmic fairness and more☆110Updated last year
- Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…☆73Updated 2 years ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆247Updated 11 months ago
- In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results o…☆28Updated 2 years ago
- GEBI: Global Explanations for Bias Identification. Open source code for discovering bias in data with skin lesion dataset☆18Updated 3 years ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆292Updated last year
- Repository for the results of my master thesis, about the generation and evaluation of synthetic data using GANs☆45Updated 2 years ago
- 💡 Adversarial attacks on explanations and how to defend them☆323Updated 8 months ago
- The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).☆220Updated 2 years ago
- Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations☆613Updated 2 weeks ago
- Benchmarking synthetic data generation methods.☆275Updated this week
- Modular Python Toolbox for Fairness, Accountability and Transparency Forensics☆77Updated 2 years ago
- TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!☆121Updated 2 years ago
- A lightweight implementation of removal-based explanations for ML models.☆58Updated 4 years ago
- Responsible AI knowledge base☆105Updated 2 years ago
- Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…☆266Updated 3 months ago
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆74Updated 3 years ago
- Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/☆78Updated last year
- Code and documentation for experiments in the TreeExplainer paper☆185Updated 5 years ago
- Meaningful Local Explanation for Machine Learning Models☆41Updated 2 years ago
- This repo accompanies the FF22 research cycle focused on unsupervised methods for detecting concept drift☆30Updated 3 years ago
- Generative adversarial training for generating synthetic tabular data.☆292Updated 2 years ago
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆44Updated 2 months ago
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- Neural Additive Models (Google Research)☆28Updated last year
- 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
- Evaluate real and synthetic datasets against each other☆92Updated last week
- Explainable AI with Python, published by Packt☆163Updated 2 years ago
- This repository contains the code for all figures in the paper "General Pitfalls of Model-agnostic Interpretation Methods for Machine Lea…☆15Updated 3 years ago