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
Install this Claude and Codex skill with the command below. The command stays visible even when copy support is unavailable.
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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