Comprehensive machine learning expertise across training, evaluation, deployment, MLOps, data pipelines, fine-tuning, inference optimization, and cloud ML platforms. PROACTIVELY activate for: (1) any ML task, (2) PyTorch/TensorFlow/JAX/scikit-learn/XGBoost/Hugging Face work, (3) SageMaker/Vertex AI/Azure ML/Databricks/Ray workflows, (4) model serving with Triton/ONNX/TensorRT/BentoML, (5) reproducibility, leakage, drift, monitoring, responsible AI, and cost optimization. Provides: best-practice guidance from data validation through production operations.

version
0.2.0
GitHub stars
59

Install

/plugin install ml-master@claude-plugin-marketplace

Run it inside Claude Code after adding the marketplace with /plugin marketplace add JosiahSiegel/claude-plugin-marketplace.

Contents

Discovered from source

Skills 9

Agents 1

Sponsors

Details

Marketplace
JosiahSiegel/claude-plugin-marketplace
Source
plugins/ml-master
Author
Josiah Siegel
Category
community
Keywords
machine-learning, ml, data-science, deep-learning, pytorch, tensorflow, keras, jax, flax, huggingface, transformers, diffusers, accelerate, peft, scikit-learn, xgboost, lightgbm, catboost, mlflow, wandb, kubeflow, sagemaker, vertex-ai, azure-ml, azure-data-factory, adf, azureml-sdk, azure-ai-ml, databricks, ray, triton, onnx, tensorrt, bentoml, mlops, model-training, model-evaluation, hyperparameter-tuning, fine-tuning, lora, qlora, rag, feature-engineering, feature-store, inference-optimization, model-monitoring, drift-detection, responsible-ai

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