# Rust Ml

> - Machine learning and numerical computing in Rust — tensors, framework choice (candle/burn/tch/ort/linfa), dtypes and determinism, avoiding needless copies of large tensors, GPU management, and serving a model without blocking the async runtime. Use for inference or training, loading a model (safetensors/ONNX), tokenizing, a data pipeline (polars/arrow), or deploying behind an API. Triggers: candle, burn, tch, ort, ONNX, ndarray, polars, safetensors, inference, GPU, spawnblocking.

## Facts
- Page: https://tashan.sh/capability/skill-gurinderu-rust-ml
- tashan id: skill:gurinderu/rust-ml
- Source: https://github.com/gurinderu/craft
- Type: skill
- Category: other
- tashan score: not scored (catalogued only — too little public evidence)
- Adoption: 9.0
- Upkeep: 100.0
- Freshness: 99.0
- Evidence coverage: 84% of the inputs this score can use
- Health: active
- Instruction depth: not yet graded
- Official: no

## Install

```sh
cp -r rust-ml ~/.claude/skills/
```

## Security audit
Not scanned. We audit npm-published capabilities; this one has no npm package we can resolve, or has not reached the queue. This is not a clean bill of health.

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Measured 2026-08-09 by tashan (https://tashan.sh) from public evidence. Scorer s5.