AI4LIFE-GROUP / OpenXAILinks
OpenXAI : Towards a Transparent Evaluation of Model Explanations
☆247Updated 10 months ago
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☆67Updated 2 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆82Updated 2 years ago
- Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations☆604Updated 4 months ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆291Updated last year
- For calculating global feature importance using Shapley values.☆271Updated 2 weeks ago
- 💡 Adversarial attacks on explanations and how to defend them☆318Updated 6 months ago
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆129Updated last year
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆74Updated 3 years ago
- Local explanations with uncertainty 💐!☆40Updated last year
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆212Updated 2 years ago
- Neural Additive Models (Google Research)☆70Updated 3 years ago
- For calculating Shapley values via linear regression.☆68Updated 4 years ago
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆44Updated 3 weeks ago
- Fairness toolkit for pytorch, scikit learn and autogluon☆32Updated 6 months ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation☆131Updated last month
- Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…☆73Updated 2 years ago
- A Natural Language Interface to Explainable Boosting Machines☆67Updated 11 months ago
- A repository for summaries of recent explainable AI/Interpretable ML approaches☆80Updated 8 months ago
- A repository for explaining feature attributions and feature interactions in deep neural networks.☆187Updated 3 years ago
- Resources for Machine Learning Explainability☆80Updated 9 months ago
- Testing Language Models for Memorization of Tabular Datasets.☆33Updated 4 months ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆35Updated last year
- PyTorch Explain: Interpretable Deep Learning in Python.☆156Updated last year
- A Data-Centric library providing a unified interface for state-of-the-art methods for hardness characterisation of data points.☆24Updated 3 months ago
- A framework for prototyping and benchmarking imputation methods☆184Updated 2 years ago
- TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!☆120Updated last year
- ☆11Updated 4 years ago
- A repo for transfer learning with deep tabular models☆104Updated 2 years ago