A game theoretic approach to explain the output of any machine learning model.
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Aug 4, 2025 - Jupyter Notebook
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explainability
Here are 405 public repositories matching this topic...
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
machine-learning data-mining awesome deep-learning awesome-list interpretability privacy-preserving production-machine-learning mlops privacy-preserving-machine-learning explainability responsible-ai machine-learning-operations ml-ops ml-operations privacy-preserving-ml large-scale-ml production-ml large-scale-machine-learning
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Aug 1, 2025
Fit interpretable models. Explain blackbox machine learning.
machine-learning ai scikit-learn artificial-intelligence transparency blackbox bias differential-privacy gradient-boosting interpretability interpretable-ai interpretable-ml explainable-ai explainable-ml xai interpretable-machine-learning iml explainability interpretml
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Aug 5, 2025 - C++
?? Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
python machine-learning transparency lime interpretability ethical-artificial-intelligence explainable-ml shap explainability
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Jul 24, 2025 - Jupyter Notebook
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
deep-learning vit bert perturbation attention-visualization bert-model explainability attention-matrix vision-transformer transformer-interpretability visualize-classifications cvpr2021
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Jan 24, 2024 - Jupyter Notebook
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
visualization data-science machine-learning widget ui jupyter widgets ml data-visualization data-analysis machinelearning fairness interpretability error-analysis explainable-ai explainable-ml fairness-ai explainability fairness-ml responsible-ai
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Feb 7, 2025 - TypeScript
XAI - An eXplainability toolbox for machine learning
machine-learning ai evaluation ml artificial-intelligence upsampling bias interpretability feature-importance explainable-ai explainable-ml xai imbalance downsampling explainability bias-evaluation machine-learning-explainability xai-library
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Oct 30, 2021 - Python
[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.
visualization transformers transformer vqa clip interpretability explainable-ai explainability detr lxmert visualbert
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Aug 24, 2023 - Jupyter Notebook
Power Tools for AI Engineers With Deadlines
home-automation data-science time-series collaboration cybersecurity cold-start autonomous-vehicles hacktoberfest automl avionics human-in-the-loop predictive-maintenance ensemble-machine-learning datascience-environment explainability industrial-iot trustworthy-datascience energy-optimization
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Jul 31, 2023 - Jupyter Notebook
Papers about explainability of GNNs
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May 2, 2025
Visualization toolkit for neural networks in PyTorch! Demo -->
visualization machine-learning deep-learning cnn pytorch neural-networks interpretability explainability
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Sep 21, 2023 - HTML
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
pytorch neural-networks imagenet image-classification pretrained-models decision-trees cifar10 interpretability pretrained-weights cifar100 tiny-imagenet explainability neural-backed-decision-trees
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May 1, 2023 - Python
Shapley Interactions and Shapley Values for Machine Learning
python machine-learning game-theory interpretability feature-importance explainable-ai banzhaf-index shapley interpretable-machine-learning shap explainability feature-attribution feature-interactions shapley-interactions shapiq
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Aug 5, 2025 - Python
?? Interactive Diagrams for Code
static-analysis agents graphviz-dot codedocs codedocumentator explainability pyreverse llms aiagentic
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Aug 6, 2025 - Python
Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ ms8909@nyu.edu
machine-learning scikit-learn transparency blackbox bias interpretability explainable-artificial-intelligence interpretable-ai explainable-ai explainable-ml xai interpretable-machine-learning machine-learning-interpretability explainability aws-sagemaker explainx
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Aug 21, 2024 - Jupyter Notebook
[Pattern Recognition 25] CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks
sam segmentation clip interpretability multilabel multimodal explainability vision-transformer open-vocabulary segment-anything
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Mar 1, 2025 - Jupyter Notebook
Official implementation of Score-CAM in PyTorch
heatmap grad-cam pytorch cam saliency class-activation-maps cnn-visualization-technique gradcam gradient-free cnn-visualization visual-explanations explainability score-cam scorecam
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Aug 6, 2022 - Python
Neural network visualization toolkit for tf.keras
visualization python deep-learning tensorflow keras grad-cam keras-visualization saliency explainable-ai explainable-ml xai gradcam gradcam-plus-plus keras-vis explainability xai-library saliency-maps activation-maximization score-cam
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Mar 12, 2025 - Python
This is an open-source version of the representation engineering framework for stopping harmful outputs or hallucinations on the level of activations. 100% free, self-hosted and open-source.
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Aug 6, 2025 - Python
?? Adversarial attacks on explanations and how to defend them
security model evaluation deep adversarial defense attacks interpretability robustness adversarial-machine-learning adversarial-examples counterfactual adversarial-attacks explainable-ai xai interpretable interpretable-machine-learning iml explainability responsible-ai
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Nov 30, 2024
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