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Search Prediction , found 8 results

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Explaining Machine Learning Models

explaining-machine-learning-models

jeremylongshore/claude-code-plugins-plus-skills

Provides interpretable explanations for ML predictions using SHAP, LIME, and other techniques, helping debug model behavior, highlight feature importance, and communicate fairness insights to stakeholders.

Prediction Monitor Assistant

prediction-monitor

jeremylongshore/claude-code-plugins-plus-skills

Prediction Monitor Assistant automates machine learning deployment monitoring tasks, offering step-by-step guidance, best-practice patterns, production-ready code and configuration generation, and validation to keep serving and inference workflows reliable.

Replicate Model Automation

replicate-automation

ComposioHQ/awesome-claude-skills

Automate Replicate AI workflows via the Composio MCP integration to inspect model schemas, run predictions (sync or async), upload input files, list versions, and manage prediction history and related assets.

Protein Language Modeling Suite

K-Dense-AI/claude-scientific-skills

Toolkit for ESM protein language models providing generative design, structure prediction, embeddings, function conditioning, and Forge-powered batch inference for protein engineering and representation tasks.

PyHealth Clinical AI Toolkit

K-Dense-AI/claude-scientific-skills

PyHealth is a Python healthcare AI toolkit for building, training, evaluating, and deploying clinical prediction models using EHR, signal, imaging, and coding data while optimizing pipelines, calibration, and interpretability.

Shap Model Interpretation

K-Dense-AI/claude-scientific-skills

Explain machine learning predictions with SHAP values, generate global and local plots (beeswarm, waterfall, force), compare models, debug bias, and ship explainable AI in production.

TorchDrug Molecular GNNs

K-Dense-AI/claude-scientific-skills

TorchDrug offers PyTorch-native graph neural networks, datasets, and tasks tailored to drug discovery, protein modeling, knowledge graphs, molecular generation, and retrosynthesis, letting researchers define custom GNN architectures for property prediction and synthesis planning.

Hard Predict Future

hard-predict-future

davepoon/buildwithclaude

A foresight agent that runs a rigorous 12-step pipeline combining Claude’s qualitative intelligence with Python’s deterministic arithmetic to analyze high-stakes future scenarios, infer reasonable horizons, and surface quantitative signals for prediction requests.

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