pbiecek / xai_resourcesLinks
Interesting resources related to XAI (Explainable Artificial Intelligence)
☆842Updated 3 years ago
Alternatives and similar repositories for xai_resources
Users that are interested in xai_resources are comparing it to the libraries listed below
Sorting:
- ☆919Updated 2 years ago
- XAI - An eXplainability toolbox for machine learning☆1,212Updated last month
- A collection of research materials on explainable AI/ML☆1,597Updated 3 weeks ago
- Interpretability and explainability of data and machine learning models☆1,751Updated 10 months ago
- ☆622Updated 2 years ago
- Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…☆75Updated 3 years ago
- H2O.ai Machine Learning Interpretability Resources☆491Updated 5 years ago
- Code for "High-Precision Model-Agnostic Explanations" paper☆812Updated 3 years ago
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,480Updated 5 months ago
- All about explainable AI, algorithmic fairness and more☆110Updated 2 years ago
- A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also in…☆761Updated 5 years ago
- A curated list of awesome responsible machine learning resources.☆3,952Updated last week
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆679Updated last year
- Algorithms for explaining machine learning models☆2,603Updated 2 months ago
- Code for the TCAV ML interpretability project☆649Updated 6 months ago
- A toolbox to iNNvestigate neural networks' predictions!☆1,307Updated 8 months ago
- Attributing predictions made by the Inception network using the Integrated Gradients method☆645Updated 3 years ago
- OmniXAI: A Library for eXplainable AI☆960Updated last year
- Bias Auditing & Fair ML Toolkit☆745Updated 2 weeks ago
- A curated list of gradient boosting research papers with implementations.☆1,035Updated 2 weeks ago
- moDel Agnostic Language for Exploration and eXplanation☆1,451Updated 2 months ago
- The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Py…☆335Updated 3 years ago
- LOcal Rule-based Exlanations☆54Updated 2 years ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆252Updated last year
- ☆316Updated 2 years ago
- Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations☆634Updated 5 months ago
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆225Updated 3 years ago
- Interpretability Methods for tf.keras models with Tensorflow 2.x☆1,036Updated last year
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆298Updated 2 years ago
- Bayesian Deep Learning Benchmarks☆671Updated 2 years ago