pbiecek / xai_resources
Interesting resources related to XAI (Explainable Artificial Intelligence)
☆821Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for xai_resources
- ☆904Updated last year
- A collection of research materials on explainable AI/ML☆1,416Updated last week
- H2O.ai Machine Learning Interpretability Resources☆483Updated 3 years ago
- XAI - An eXplainability toolbox for machine learning☆1,117Updated 3 years ago
- ☆565Updated last year
- Code for "High-Precision Model-Agnostic Explanations" paper☆797Updated 2 years ago
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆673Updated 4 months ago
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,358Updated 6 months ago
- A curated list of awesome responsible machine learning resources.☆3,654Updated last week
- Interpretability and explainability of data and machine learning models☆1,626Updated 3 months ago
- All about explainable AI, algorithmic fairness and more☆107Updated last year
- Algorithms for explaining machine learning models☆2,411Updated 3 months ago
- A toolbox to iNNvestigate neural networks' predictions!☆1,266Updated 10 months ago
- Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are look…☆417Updated 2 months ago
- Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…☆72Updated 2 years ago
- OmniXAI: A Library for eXplainable AI☆874Updated 3 months ago
- Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world d…☆421Updated 5 months ago
- Code for the TCAV ML interpretability project☆632Updated 3 months ago
- A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also in…☆734Updated 4 years ago
- 💡 Adversarial attacks on explanations and how to defend them☆300Updated 8 months ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆281Updated last year
- Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations☆552Updated this week
- moDel Agnostic Language for Exploration and eXplanation☆1,373Updated last month
- python partial dependence plot toolbox☆845Updated 2 months ago
- Attributing predictions made by the Inception network using the Integrated Gradients method☆599Updated 2 years ago
- ☆264Updated 4 years ago
- A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.☆413Updated 4 years ago
- List of relevant resources for machine learning from explanatory supervision☆152Updated 4 months ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆232Updated 2 months ago
- Code and documentation for experiments in the TreeExplainer paper☆179Updated 5 years ago