shap / shap Star 21.9k Code Issues Pull requests Discussions A game theoretic approach to explain the output of any machine learning model. machine-learning deep-learning gradient-boosting interpretability shapley shap explainability Updated Jun 8, 2024 Jupyter Notebook
EthicalML / awesome-production-machine-learning Star 16.5k Code Issues Pull requests 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 Updated Jun 2, 2024
jacobgil / pytorch-grad-cam Star 9.7k Code Issues Pull requests Discussions 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 Updated May 31, 2024 Python
interpretml / interpret Star 6.1k Code Issues Pull requests 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 Updated Jun 8, 2024 C++
pytorch / captum Star 4.7k Code Issues Pull requests Model interpretability and understanding for PyTorch interpretability feature-importance interpretable-ai interpretable-ml feature-attribution Updated Jun 7, 2024 Python
tensorflow / lucid Star 4.6k Code Issues Pull requests A collection of infrastructure and tools for research in neural network interpretability. visualization machine-learning tensorflow jupyter-notebook colab interpretability Updated Feb 6, 2023 Jupyter Notebook
jphall663 / awesome-machine-learning-interpretability Star 3.5k Code Issues Pull requests 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 Updated Jun 7, 2024
stellargraph / stellargraph Star 2.9k Code Issues Pull requests Discussions 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 Updated Apr 10, 2024 Python
MAIF / shapash Star 2.7k Code Issues Pull requests Discussions ?? 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 Updated May 23, 2024 Jupyter Notebook
SeldonIO / alibi Star 2.3k Code Issues Pull requests Algorithms for explaining machine learning models machine-learning interpretability counterfactual explanations xai Updated May 23, 2024 Python
chaoyanghe / Awesome-Federated-Learning Star 1.9k Code Issues Pull requests 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 Updated Sep 3, 2022
frgfm / torch-cam Sponsor Star 1.9k Code Issues Pull requests Discussions 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 Updated Jun 6, 2024 Python
google-deepmind / penzai Star 1.5k Code Issues Pull requests Discussions A JAX research toolkit for building, editing, and visualizing neural networks. visualization neural-networks interpretability fine-tuning jax Updated May 28, 2024 Python
ramprs / grad-cam Star 1.4k Code Issues Pull requests [ICCV 2017] Torch code for Grad-CAM deep-learning heatmap grad-cam convolutional-neural-networks interpretability iccv17 visual-explanation Updated Sep 17, 2022 Lua
ModelOriented / DALEX Star 1.3k Code Issues Pull requests 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 Updated Jun 7, 2024 Python
csinva / imodels Star 1.3k Code Issues Pull requests Discussions 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 Updated May 26, 2024 Jupyter Notebook
wangyongjie-ntu / Awesome-explainable-AI Star 1.3k Code Issues Pull requests A collection of research materials on explainable AI/ML xml interpretability explanation-system interpretable-ai explainable-ai xai counterfactual-explanations recourse Updated May 1, 2024
microsoft / responsible-ai-toolbox Star 1.3k Code Issues Pull requests 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 Updated May 21, 2024 TypeScript
cdpierse / transformers-interpret Star 1.2k Code Issues Pull requests Discussions 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 Updated Aug 30, 2023 Jupyter Notebook
EthicalML / xai Star 1.1k Code Issues Pull requests 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 Updated Oct 30, 2021 Python