MarcelRobeer / ContrastiveExplanation
Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University
☆45Updated 2 years ago
Alternatives and similar repositories for ContrastiveExplanation:
Users that are interested in ContrastiveExplanation are comparing it to the libraries listed below
- All about explainable AI, algorithmic fairness and more☆107Updated last year
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 3 years ago
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!☆28Updated 5 years ago
- Practical ideas on securing machine learning models☆36Updated 3 years ago
- This is a public collection of papers related to machine learning model interpretability.☆26Updated 3 years ago
- Modular Python Toolbox for Fairness, Accountability and Transparency Forensics☆77Updated last year
- Public home of pycorels, the python binding to CORELS☆79Updated 4 years ago
- An automated machine learning tool aimed to facilitate AutoML research.☆99Updated 8 months ago
- A simple, extensible library for developing AutoML systems☆175Updated last year
- A scikit-learn compatible implementation of hyperband☆76Updated 5 years ago
- Meaningful Local Explanation for Machine Learning Models☆41Updated 2 years ago
- python tools to check recourse in linear classification☆76Updated 4 years ago
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆44Updated 2 weeks ago
- Codes for reproducing the contrastive explanation in “Explanations based on the Missing: Towards Contrastive Explanations with Pertinent…☆54Updated 6 years ago
- A Python package for unwrapping ReLU DNNs☆70Updated last year
- Python implementation of R package breakDown☆42Updated last year
- Paper and talk from KDD 2019 XAI Workshop☆20Updated 4 years ago
- ☆125Updated 3 years ago
- Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…☆73Updated 2 years ago
- Supervised Local Modeling for Interpretability☆28Updated 6 years ago
- Measure and visualize machine learning model performance without the usual boilerplate.☆97Updated 7 months ago
- 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
- An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.☆82Updated 3 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆82Updated 2 years ago
- Multi-Objective Counterfactuals☆41Updated 2 years ago
- This is a benchmark to evaluate machine learning local explanaitons quality generated from any explainer for text and image data☆30Updated 3 years ago
- Surrogate Assisted Feature Extraction☆37Updated 3 years ago
- A toolbox for fair and explainable machine learning☆55Updated 10 months ago
- 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