Running ML models in a game (and in Wasm!)

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • bevy

    A refreshingly simple data-driven game engine built in Rust

    The last couple of month, I've been doing game jams, Ludum Dare 47 and Game Off 2020 with Bevy, so I wanted to check If I could easily use Tract in a game made with Bevy and build for a Wasm target.

  • tract

    Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference

    One of my colleague recently starred Tract github repository and got me wondering how easy it would be to use. I know how to create a ONNX model with PyTorch Lightning, or even that there are pretrained models available. Spoilers: it's very easy to integrate!

  • InfluxDB

    Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.

  • bevmnist

    TL;DR: Try it here - Read the code here

  • bevy_webgl2

    WebGL2 renderer plugin for Bevy game engine

    Thanks to bevy_webgl2, this is actually very straightforward. I just need to add the plugin WebGL2Plugin and disable the default features of Bevy to only enable the one available on Wasm.

  • There is a bevy webgl2 template if you want to build a game that can works on all platforms.

  • SonarQube

    Static code analysis for 29 languages.. Your projects are multi-language. So is SonarQube analysis. Find Bugs, Vulnerabilities, Security Hotspots, and Code Smells so you can release quality code every time. Get started analyzing your projects today for free.

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