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  1. Home
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  3. /ultralytics/inference
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repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 29d ago

ultralytics/inference

High-performance Ultralytics YOLO inference in Rust with ONNX Runtime, GPU backends, CLI, and WebGPU/WASM.

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

  • PossiblePossibly related (embedding) · 55%The C to Rust migration book →
  • PossiblePossibly related (embedding) · 53%Topcoat: The full full-stack framework for Rust →
  • PossiblePossibly related (embedding) · 46%I implemented the YOLO26n model inference from scratch using ARM64 Assembly Language (No framework) [P] →
  • PossiblePossibly related (embedding) · 57%GPU Offload in Rust: Portable, Safe, and Fast →

Covers

newsThe C to Rust migration book

Covers (incoming)

newsTopcoat: The full full-stack framework for RustnewsI implemented the YOLO26n model inference from scratch using ARM64 Assembly Language (No framework) [P]newsGPU Offload in Rust: Portable, Safe, and Fast

Related across the graph

newsGPU Offload in Rust: Portable, Safe, and FastnewsTopcoat: The full full-stack framework for RustnewsThe C to Rust migration booknewsI implemented the YOLO26n model inference from scratch using ARM64 Assembly Language (No framework) [P]
Knowledge path·NGPU Offload in Rust: Portable, Safe, and Fast→NTopcoat: The full full-stack framework for Rust→NThe C to Rust migration book→Rultralytics/inference

Topics

computer-visiondeep-learninginstance-segmentationmachine-learningobject-detectionrotated-object-detectionrustrust-libraryultralyticsyolo

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Graph trust82Primary
Graph score125