A game theoretic approach to explain the output of any machine learning model.
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Dec 13, 2024 - Jupyter Notebook
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interpretability
Here are 710 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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Dec 2, 2024
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
machine-learning computer-vision deep-learning grad-cam pytorch image-classification object-detection visualizations interpretability class-activation-maps interpretable-deep-learning interpretable-ai explainable-ai explainable-ml xai score-cam vision-transformers
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Dec 17, 2024 - Python
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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Dec 19, 2024 - C++
Model interpretability and understanding for PyTorch
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Dec 12, 2024 - Python
A collection of infrastructure and tools for research in neural network interpretability.
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Feb 6, 2023 - Jupyter Notebook
A curated list of awesome responsible machine learning resources.
python data-science machine-learning awesome r awesome-list transparency fairness ai-safety privacy-enhancing-technologies interpretability interpretable-ai interpretable-ml explainable-ml xai interpretable-machine-learning privacy-preserving-machine-learning machine-learning-interpretability secure-ml reliable-ai
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Dec 4, 2024
StellarGraph - Machine Learning on Graphs
python data-science machine-learning deep-learning graphs machine-learning-algorithms networkx graph-data graph-analysis graph-machine-learning link-prediction graph-convolutional-networks gcn saliency-map interpretability geometric-deep-learning graph-neural-networks heterogeneous-networks stellargraph-library
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Apr 10, 2024 - Python
🔅 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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Dec 9, 2024 - Jupyter Notebook
Algorithms for explaining machine learning models
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Dec 16, 2024 - Python
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
python deep-learning grad-cam cnn pytorch saliency-map interpretability smoothgrad interpretable-deep-learning gradcam activation-maps class-activation-map gradcam-plus-plus score-cam
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Dec 13, 2024 - Python
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
machine-learning privacy computer-vision semi-supervised-learning transfer-learning wireless-communication distributed-optimization interpretability neural-architecture-search federated-learning continual-learning vertical-federated-learning non-iid decentralized-federated-learning hierarchical-federated-learning adversarial-attack-and-defense communication-efficiency straggler-problem computation-efficiency incentive-mechanism
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Sep 3, 2022
A JAX research toolkit for building, editing, and visualizing neural networks.
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Dec 16, 2024 - Python
[ICCV 2017] Torch code for Grad-CAM
deep-learning heatmap grad-cam convolutional-neural-networks interpretability iccv17 visual-explanation
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Sep 17, 2022 - Lua
A collection of research materials on explainable AI/ML
xml interpretability explanation-system interpretable-ai explainable-ai xai counterfactual-explanations recourse
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Oct 29, 2024 - Markdown
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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Nov 26, 2024 - TypeScript
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
python rules data-science machine-learning statistics ai scikit-learn ml artificial-intelligence supervised-learning interpretability explainable-ai explainable-ml rule-learning optimal-classification-tree rulefit imodels bayesian-rule-list
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Nov 6, 2024 - Jupyter Notebook
moDel Agnostic Language for Exploration and eXplanation
black-box data-science machine-learning predictive-modeling fairness interpretability explainable-artificial-intelligence explanations explainable-ai explainable-ml xai model-visualization interpretable-machine-learning iml dalex responsible-ai responsible-ml explanatory-model-analysis
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Oct 2, 2024 - Python
Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
nlp machine-learning natural-language-processing computer-vision deep-learning neural-network transformers interpretability explainable-ai captum model-explainability transformers-model
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Aug 30, 2023 - Jupyter Notebook
ReFT: Representation Finetuning for Language Models
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Dec 19, 2024 - Python
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