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SimdYolo

Pure C#/.NET YOLO inference: SIMD CPU, Vulkan/Metal GPU, direct .pt and ONNX; detection, segmentation and pose.

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GITHUB · launched Oct 14, 2026 · 26 upvotes (top 55%)

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Could you build this?

No Writing a pure C# YOLO inference engine supporting raw .pt parsing, custom SIMD CPU kernels, and native Vulkan/Metal shaders requires deep systems and compute engineering.

What it would actually take: Requires writing custom tensor computation routines and matrix multiplication leveraging .NET Vector/AVX intrinsics, and writing SPIR-V / Metal shading language compute kernels for GPU execution. It also demands custom binary parsing of PyTorch pickle/ZIP formats and ONNX protobuf graphs without external runtimes (like ONNX Runtime or libtorch). Requires expert knowledge of low-level graphics APIs, computer architecture SIMD, and deep learning runtime internals.

Competitors

Other products that read as similar to this one : 1786 launches clear the similarity bar, closest 8 shown.

Attention rank: #967 of 1787 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 347 days after the earliest competitor.

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