YoMo

What it does

This application shows you how to create a Rust function for Tensorflow-based image classification, compile it into WebAssembly, and then use YoMo to run it as a stream data handler. https://github.com/yomorun/yomo

This application demonstrates how to launch high-performance "serverless" functions from the YoMo framework to process streaming data. The functions are embedded in a WebAssembly VM, WasmEdge, for safety, security, portability, and manageability. - yomorun/yomo-wasmedge-tensorflow

• UD
  Using deep learning to detect objects from your webcam2018 · modeldepot.github.io · ▲95
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  YoMo2021 · github.com · ▲63

  A serverless framework for latency sensitive applications

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  We made our own inference engine for Apple Silicon2025 · github.com · ▲186

  We wrote our inference engine on Rust, it is faster than llama cpp in all of the use cases. Your feedback is very welcomed. Written from scratch with idea that you can add support of any kernel and platform.

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  Hi HN, In the past few years I've become more interested in machine learning. Since I'm sure the same is true for many here, I wanted to share this project I've been working on: glowstick uses type-directed metaprogramming to keep track of tensor shapes in Rust's type system and determine which operations are permitted or not at compile time. I find Rust has a lot of strengths when it comes to ML applications, but waiting until runtime to find shape related issues feels a bit strange since normally I don't run the code all that often while developing. Given Rust has fancy types available, I…

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