cuml-machine-learning
Use for GPU-accelerated machine learning on tabular data using NVIDIA cuML. Triggers when tasks involve classification, regression, clustering, dimensionality reduction, or model training on datasets.
Install
git clone https://github.com/langchain-ai/deepagents /tmp/deepagents && ln -s /tmp/deepagents/examples/nvidia_deep_agent/skills/cuml-machine-learning ~/.claude/skills/cuml-machine-learningFrom README
cuML Machine Learning Skill GPU-accelerated machine learning using NVIDIA RAPIDS cuML. cuML provides a scikit-learn-compatible API that runs on NVIDIA GPUs, enabling massive speedups on large datasets. When to Use This Skill Use this skill when: Training classification models (predict categories, detect fraud, classify text) Training regression models (forecast values, predict prices, estimate quantities) Clustering data (segment customers, group documents, find patterns) Dimensionality reduction (visualize high-dimensional data, compress features) Preprocessing and feature engineering on large datasets Any ML task on datasets with 10K+ rows where GPU acceleration helps Initialization (REQUIRED) Always start every script with this boilerplate. It tests actual GPU ML operations.
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