AI4LIFE-GROUP / OpenXAILinks
OpenXAI : Towards a Transparent Evaluation of Model Explanations
☆252Updated last year
Alternatives and similar repositories for OpenXAI
Users that are interested in OpenXAI are comparing it to the libraries listed below
Sorting:
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆70Updated 3 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆85Updated 3 years ago
- Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations☆636Updated last week
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆76Updated 3 years ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆299Updated 2 years ago
- pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation☆142Updated 2 weeks ago
- For calculating global feature importance using Shapley values.☆283Updated this week
- An amortized approach for calculating local Shapley value explanations☆105Updated 2 years ago
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆226Updated 3 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- List of relevant resources for machine learning from explanatory supervision☆162Updated 6 months ago
- PyTorch Explain: Interpretable Deep Learning in Python.☆168Updated last year
- A Natural Language Interface to Explainable Boosting Machines☆69Updated last year
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆47Updated 8 months ago
- For calculating Shapley values via linear regression.☆73Updated 4 years ago
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆140Updated 2 weeks ago
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆239Updated 6 months ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆40Updated last year
- Datasets derived from US census data☆276Updated last year
- TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!☆126Updated 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
- OmniXAI: A Library for eXplainable AI☆963Updated last year
- Neural Additive Models (Google Research)☆31Updated last year
- Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.☆19Updated 2 years ago
- Testing Language Models for Memorization of Tabular Datasets.☆36Updated 11 months ago
- Model Agnostic Counterfactual Explanations☆88Updated 3 years ago
- Fairness toolkit for pytorch, scikit learn and autogluon☆33Updated 2 months ago
- Neural Additive Models (Google Research)☆74Updated 4 years ago
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆55Updated 3 years ago