model plugins

The directory indexes 2 plugins tagged “model” from 1 public source repositories, with 2 skills and 0 MCP servers across the collection.

2 plugins1 repositories2 cross-runtimeIndexing methodology →

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ml-model-training
by Claude Skills Maintainers
Train ML models with scikit-learn, PyTorch, TensorFlow. Use for classification/regression, neural networks, hyperparameter tuning, or encountering overfitting, underfitting, convergence issues.
CodexClaude Code1 Skill
227Updated last week
model-deployment
by Claude Skills Maintainers
Deploy ML models with FastAPI, Docker, Kubernetes. Use for serving predictions, containerization, monitoring, drift detection, or encountering latency issues, health check failures, version conflicts.
CodexClaude Code1 Skill
227Updated last week