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Educational Implementation · Rust

trot-livive-net

A tiny neural network written in Rust, compiled to WASM, trained in your browser, exported to ONNX. Every number visible: weights, gradients, loss, forward pass. Built to be read, not just run.

What it is

TROT is an educational implementation of a tiny neural network written from scratch in Rust, featuring hand-written forward and backward passes, deterministic data generation, and ONNX export with runtime verification, designed to teach the fundamentals of machine learning through transparency.

Scored from the code at its last scan, 21 Oct 2026. How merit is scored

Where it counts

  • Machine Learning90%
  • Data Science20%
  • MLOps20%
  • NLP & LLMs10%

How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.

Around it on the Machine Learning board

Whole board
  1. 3, shared rankmodded-GLM-5.3-flash-from-scratchEducational Implementation · Python66.0/100AdvancedPop Alexandru
  2. 3, shared rankORBIT-allTraining Experiment · Python66.0/100AdvancedPop Alexandru
  3. 05trot-livive-netEducational Implementation · Rust65.5/100AdvancedJarad Peckenpaugh
  4. 06, shared rankcamera505ML Application · Python64.6/100Advancedvlad andrei
  5. 06, shared rankmines-smLibrary / Framework · Rust64.6/100AdvancedJarad Peckenpaugh

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