Domain Ml
actionbook/rust-skillsBuilding machine learning applications in Rust requires careful planning. You need to handle large data efficiently and use GPU acceleration for speed. This skill gives you the rules and patterns to do that.
It covers memory efficiency by avoiding copying tensors. It shows how to use GPU batching for better performance. You also learn about standard model formats like ONNX for moving between Python and Rust.
With code examples for inference servers and batched predictions, you can build fast and reliable ML systems. The skill helps you choose the right Rust libraries like candle, burn, or tract for your task.
Add Domain Ml skill to your workflow
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mkdir -p ~/.claude/skills/domain-mlProject
mkdir -p .claude/skills/domain-mlSource Repository
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