5,184,266 AI resources indexedWorking toward the world’s largest AI resource index.
Reusable instructions for compatible AI agents.
Field counts come from the latest full-catalog snapshot. A resource can belong to several fields and platforms.
Explains ML predictions on omics data with SHAP, LIME, and permutation importance, handling the correlated-feature trap, the conditional-vs-interventional Shapley choice, and the attribution-is-not-causation boundary. Use when interpreting an omics classifier, debugging shortcut/batch learning, o...
Resources for trustworthy, fair, and ethical AI research
Machine learning pipeline for scientific research including data preprocessing, feature engineering, model selection, training, evaluation, and interpretation. Covers supervised/unsupervised learning, deep learning, cross-validation, hyperparameter tuning, and model explainability. Use when user ...
This skill enables Claude to provide interpretability and explainability for machine learning models. It is triggered when the user requests explanations for model predictions, insights into feature importance, or help understanding model behavior. The skill leverages techniques like SHAP and LIM...
SHAP-based model explainability skill for feature attribution, summary plots, and interaction analysis.
Evaluate ML models rigorously — cross-validation, confusion matrices, ROC curves, bias audits, and interpretability.
Machine learning toolkit for big data teams. Includes scikit-learn, PyTorch Lightning, Transformers, SHAP for model training, deployment, and interpretation. Use when building ML pipelines, training models, or explaining predictions.
Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias ...
Agent skill for ML / AI Engineer, Data Scientist, Data Analyst, published by oimiragieo. Project details and file access are provided by the publisher.
Agent skill for ML / AI Engineer, Data Scientist, Data Analyst, published by AmnadTaowsoam. Project details and file access are provided by the publisher.
Agent skill for ML / AI Engineer, Data Scientist, Data Analyst, published by jlaws. Project details and file access are provided by the publisher.
Agent skill for Data Scientist, ML / AI Engineer, Business Intelligence Analyst, published by majiayu000. Project details and file access are provided by the publisher.
Try a broader search or clear some filters.
Platform labels describe intended use. Read each resource's author credits, requirements and available access methods.